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  • Packing a DBF

    - by Tom Hines
    I thought my days of dealing with DBFs as a "production data" source were over, but HA (no such luck). I recently had to retrieve, modify and replace some data that needed to be delivered in a DBF file. Everything was fine until I realized / remembered the DBF driver does not ACTUALLY delete records from the data source -- it only marks them for deletion.  You are responsible for handling the "chaff" either by using a utility to remove deleted records or by simply ignoring them.  If imported into Excel, the marked-deleted records are ignored, but the file size will reflect the extra content. So, I went hunting for a method to "Pack" the records (removing deleted ones and resizing the DBF file) and eventually ran across the FOXPRO driver at ( http://msdn.microsoft.com/en-us/vfoxpro/bb190233.aspx ).  Once installed, I changed the DSN in the code to the new one I created in the ODBC Administrator and ran some tests.  Using MSQuery, I simply tested the raw SQL command Pack {tablename} and it WORKED! One really neat thing is the PACK command is used like regular SQL instructions; "Pack {tablename}" is all that is needed. It is necessary, however, to close all connections to the database before issuing the PACK command.    Here is some C# code for a Pack method.         /// <summary>       /// Pack the DBF removing all deleted records       /// </summary>       /// <param name="strTableName">The table to pack</param>       /// <param name="strError">output of any errors</param>       /// <returns>bool (true if no errors)</returns>       public static bool Pack(string strTableName, ref string strError)       {          bool blnRetVal = true;          try          {             OdbcConnectionStringBuilder csbOdbc = new OdbcConnectionStringBuilder()             {                Dsn = "PSAP_FOX_DBF"             };             string strSQL = "pack " + strTableName;             using (OdbcConnection connOdbc = new OdbcConnection(csbOdbc.ToString()))             {                connOdbc.Open();                OdbcCommand cmdOdbc = new OdbcCommand(strSQL, connOdbc);                cmdOdbc.ExecuteNonQuery();                connOdbc.Close();             }          }          catch (Exception exc)          {             blnRetVal = false;             strError = exc.Message;          }          return blnRetVal;       }

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  • .NET Reflector Pro Coming…

    The very best software is almost always originally the creation of a single person. Readers of our 'Geek of the Week' will know of a few of them.  Even behemoths such as MS Word or Excel started out with one programmer.  There comes a time with any software that it starts to grow up, and has to move from this form of close parenting to being developed by a team.  This has happened several times within Red-Gate: SQL Refactor, SQL Compare, and SQL Dependency Tracker, not to mention SQL Backup, were all originally the work of a lone coder, who subsequently handed over the development to a structured team of programmers, test engineers and usability designers. Because we loved .NET Reflector when Lutz Roeder wrote and nurtured it, and, like many other .NET developers, used it as a development tool ourselves, .NET Reflector's progress from being the apple of Lutz's eye to being a Red-Gate team-based development  seemed natural.  Lutz, after all, eventually felt he couldn't afford the time to develop it to the extent it deserved. Why, then, did we want to take on .NET Reflector?  Different people may give you different answers, but for us in the .NET team, it just seemed a natural progression. We're always very surprised when anyone suggests that we want to change the nature of the tool since it seems right just as it is. .NET Reflector will stay very much the tool we all use and appreciate, although the new version will support .NET 4, and will have many improvements in the accuracy of its decompiling. Whilst we've made a lot of improvements to Reflector, the radical addition, which we hope you'll want to try out as well, is '.NET Reflector Pro'. This is an extension to .NET Reflector that allows the debugging of decompiled code using the Visual Studio debugger. It is an add-in, but we'll be charging for it, mainly because we prefer to live indoors with a warm meal, rather than outside in tents, particularly when the winter's been as cold as this one has. We're hoping (we're even pretty confident!) that you'll share our excitement about .NET Reflector Pro. .NET Reflector Pro integrates .NET Reflector into Visual Studio, allowing you to seamlessly debug into third-party code and assemblies, even if you don't have the source code for them. You can now treat decompiled assemblies much like your own code: you can step through them and use all the debugging techniques that you would use on your own code. Try the beta now. span.fullpost {display:none;}

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  • Backup Meta-Data

    - by BuckWoody
    I'm working on a PowerShell script to show me the trending durations of my backup activities. The first thing I need is the data, so I looked at the Standard Reports in SQL Server Management Studio, and found a report that suited my needs, so I pulled out the script that it runs and modified it to this T-SQL Script. A few words here - you need to be in the MSDB database for this to run, and you can add a WHERE clause to limit to a database, timeframe, type of backup, whatever. For that matter, I won't use all of the data in this query in my PowerShell script, but it gives me lots of avenues to graph: SELECT distinct t1.name AS 'DatabaseName' ,(datediff( ss,  t3.backup_start_date, t3.backup_finish_date)) AS 'DurationInSeconds' ,t3.user_name AS 'UserResponsible' ,t3.name AS backup_name ,t3.description ,t3.backup_start_date ,t3.backup_finish_date ,CASE WHEN t3.type = 'D' THEN 'Database' WHEN t3.type = 'L' THEN 'Log' WHEN t3.type = 'F' THEN 'FileOrFilegroup' WHEN t3.type = 'G' THEN 'DifferentialFile' WHEN t3.type = 'P' THEN 'Partial' WHEN t3.type = 'Q' THEN 'DifferentialPartial' END AS 'BackupType' ,t3.backup_size AS 'BackupSizeKB' ,t6.physical_device_name ,CASE WHEN t6.device_type = 2 THEN 'Disk' WHEN t6.device_type = 102 THEN 'Disk' WHEN t6.device_type = 5 THEN 'Tape' WHEN t6.device_type = 105 THEN 'Tape' END AS 'DeviceType' ,t3.recovery_model  FROM sys.databases t1 INNER JOIN backupset t3 ON (t3.database_name = t1.name )  LEFT OUTER JOIN backupmediaset t5 ON ( t3.media_set_id = t5.media_set_id ) LEFT OUTER JOIN backupmediafamily t6 ON ( t6.media_set_id = t5.media_set_id ) ORDER BY backup_start_date DESC I'll munge this into my Excel PowerShell chart script tomorrow. Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Advanced TSQL Tuning: Why Internals Knowledge Matters

    - by Paul White
    There is much more to query tuning than reducing logical reads and adding covering nonclustered indexes.  Query tuning is not complete as soon as the query returns results quickly in the development or test environments.  In production, your query will compete for memory, CPU, locks, I/O and other resources on the server.  Today’s entry looks at some tuning considerations that are often overlooked, and shows how deep internals knowledge can help you write better TSQL. As always, we’ll need some example data.  In fact, we are going to use three tables today, each of which is structured like this: Each table has 50,000 rows made up of an INTEGER id column and a padding column containing 3,999 characters in every row.  The only difference between the three tables is in the type of the padding column: the first table uses CHAR(3999), the second uses VARCHAR(MAX), and the third uses the deprecated TEXT type.  A script to create a database with the three tables and load the sample data follows: USE master; GO IF DB_ID('SortTest') IS NOT NULL DROP DATABASE SortTest; GO CREATE DATABASE SortTest COLLATE LATIN1_GENERAL_BIN; GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest', SIZE = 3GB, MAXSIZE = 3GB ); GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest_log', SIZE = 256MB, MAXSIZE = 1GB, FILEGROWTH = 128MB ); GO ALTER DATABASE SortTest SET ALLOW_SNAPSHOT_ISOLATION OFF ; ALTER DATABASE SortTest SET AUTO_CLOSE OFF ; ALTER DATABASE SortTest SET AUTO_CREATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_SHRINK OFF ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS_ASYNC ON ; ALTER DATABASE SortTest SET PARAMETERIZATION SIMPLE ; ALTER DATABASE SortTest SET READ_COMMITTED_SNAPSHOT OFF ; ALTER DATABASE SortTest SET MULTI_USER ; ALTER DATABASE SortTest SET RECOVERY SIMPLE ; USE SortTest; GO CREATE TABLE dbo.TestCHAR ( id INTEGER IDENTITY (1,1) NOT NULL, padding CHAR(3999) NOT NULL,   CONSTRAINT [PK dbo.TestCHAR (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestMAX ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAX (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestTEXT ( id INTEGER IDENTITY (1,1) NOT NULL, padding TEXT NOT NULL,   CONSTRAINT [PK dbo.TestTEXT (id)] PRIMARY KEY CLUSTERED (id), ) ; -- ============= -- Load TestCHAR (about 3s) -- ============= INSERT INTO dbo.TestCHAR WITH (TABLOCKX) ( padding ) SELECT padding = REPLICATE(CHAR(65 + (Data.n % 26)), 3999) FROM ( SELECT TOP (50000) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) - 1 FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) AS Data ORDER BY Data.n ASC ; -- ============ -- Load TestMAX (about 3s) -- ============ INSERT INTO dbo.TestMAX WITH (TABLOCKX) ( padding ) SELECT CONVERT(VARCHAR(MAX), padding) FROM dbo.TestCHAR ORDER BY id ; -- ============= -- Load TestTEXT (about 5s) -- ============= INSERT INTO dbo.TestTEXT WITH (TABLOCKX) ( padding ) SELECT CONVERT(TEXT, padding) FROM dbo.TestCHAR ORDER BY id ; -- ========== -- Space used -- ========== -- EXECUTE sys.sp_spaceused @objname = 'dbo.TestCHAR'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAX'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestTEXT'; ; CHECKPOINT ; That takes around 15 seconds to run, and shows the space allocated to each table in its output: To illustrate the points I want to make today, the example task we are going to set ourselves is to return a random set of 150 rows from each table.  The basic shape of the test query is the same for each of the three test tables: SELECT TOP (150) T.id, T.padding FROM dbo.Test AS T ORDER BY NEWID() OPTION (MAXDOP 1) ; Test 1 – CHAR(3999) Running the template query shown above using the TestCHAR table as the target, we find that the query takes around 5 seconds to return its results.  This seems slow, considering that the table only has 50,000 rows.  Working on the assumption that generating a GUID for each row is a CPU-intensive operation, we might try enabling parallelism to see if that speeds up the response time.  Running the query again (but without the MAXDOP 1 hint) on a machine with eight logical processors, the query now takes 10 seconds to execute – twice as long as when run serially. Rather than attempting further guesses at the cause of the slowness, let’s go back to serial execution and add some monitoring.  The script below monitors STATISTICS IO output and the amount of tempdb used by the test query.  We will also run a Profiler trace to capture any warnings generated during query execution. DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TC.id, TC.padding FROM dbo.TestCHAR AS TC ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; Let’s take a closer look at the statistics and query plan generated from this: Following the flow of the data from right to left, we see the expected 50,000 rows emerging from the Clustered Index Scan, with a total estimated size of around 191MB.  The Compute Scalar adds a column containing a random GUID (generated from the NEWID() function call) for each row.  With this extra column in place, the size of the data arriving at the Sort operator is estimated to be 192MB. Sort is a blocking operator – it has to examine all of the rows on its input before it can produce its first row of output (the last row received might sort first).  This characteristic means that Sort requires a memory grant – memory allocated for the query’s use by SQL Server just before execution starts.  In this case, the Sort is the only memory-consuming operator in the plan, so it has access to the full 243MB (248,696KB) of memory reserved by SQL Server for this query execution. Notice that the memory grant is significantly larger than the expected size of the data to be sorted.  SQL Server uses a number of techniques to speed up sorting, some of which sacrifice size for comparison speed.  Sorts typically require a very large number of comparisons, so this is usually a very effective optimization.  One of the drawbacks is that it is not possible to exactly predict the sort space needed, as it depends on the data itself.  SQL Server takes an educated guess based on data types, sizes, and the number of rows expected, but the algorithm is not perfect. In spite of the large memory grant, the Profiler trace shows a Sort Warning event (indicating that the sort ran out of memory), and the tempdb usage monitor shows that 195MB of tempdb space was used – all of that for system use.  The 195MB represents physical write activity on tempdb, because SQL Server strictly enforces memory grants – a query cannot ‘cheat’ and effectively gain extra memory by spilling to tempdb pages that reside in memory.  Anyway, the key point here is that it takes a while to write 195MB to disk, and this is the main reason that the query takes 5 seconds overall. If you are wondering why using parallelism made the problem worse, consider that eight threads of execution result in eight concurrent partial sorts, each receiving one eighth of the memory grant.  The eight sorts all spilled to tempdb, resulting in inefficiencies as the spilled sorts competed for disk resources.  More importantly, there are specific problems at the point where the eight partial results are combined, but I’ll cover that in a future post. CHAR(3999) Performance Summary: 5 seconds elapsed time 243MB memory grant 195MB tempdb usage 192MB estimated sort set 25,043 logical reads Sort Warning Test 2 – VARCHAR(MAX) We’ll now run exactly the same test (with the additional monitoring) on the table using a VARCHAR(MAX) padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TM.id, TM.padding FROM dbo.TestMAX AS TM ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query takes around 8 seconds to complete (3 seconds longer than Test 1).  Notice that the estimated row and data sizes are very slightly larger, and the overall memory grant has also increased very slightly to 245MB.  The most marked difference is in the amount of tempdb space used – this query wrote almost 391MB of sort run data to the physical tempdb file.  Don’t draw any general conclusions about VARCHAR(MAX) versus CHAR from this – I chose the length of the data specifically to expose this edge case.  In most cases, VARCHAR(MAX) performs very similarly to CHAR – I just wanted to make test 2 a bit more exciting. MAX Performance Summary: 8 seconds elapsed time 245MB memory grant 391MB tempdb usage 193MB estimated sort set 25,043 logical reads Sort warning Test 3 – TEXT The same test again, but using the deprecated TEXT data type for the padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TT.id, TT.padding FROM dbo.TestTEXT AS TT ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query runs in 500ms.  If you look at the metrics we have been checking so far, it’s not hard to understand why: TEXT Performance Summary: 0.5 seconds elapsed time 9MB memory grant 5MB tempdb usage 5MB estimated sort set 207 logical reads 596 LOB logical reads Sort warning SQL Server’s memory grant algorithm still underestimates the memory needed to perform the sorting operation, but the size of the data to sort is so much smaller (5MB versus 193MB previously) that the spilled sort doesn’t matter very much.  Why is the data size so much smaller?  The query still produces the correct results – including the large amount of data held in the padding column – so what magic is being performed here? TEXT versus MAX Storage The answer lies in how columns of the TEXT data type are stored.  By default, TEXT data is stored off-row in separate LOB pages – which explains why this is the first query we have seen that records LOB logical reads in its STATISTICS IO output.  You may recall from my last post that LOB data leaves an in-row pointer to the separate storage structure holding the LOB data. SQL Server can see that the full LOB value is not required by the query plan until results are returned, so instead of passing the full LOB value down the plan from the Clustered Index Scan, it passes the small in-row structure instead.  SQL Server estimates that each row coming from the scan will be 79 bytes long – 11 bytes for row overhead, 4 bytes for the integer id column, and 64 bytes for the LOB pointer (in fact the pointer is rather smaller – usually 16 bytes – but the details of that don’t really matter right now). OK, so this query is much more efficient because it is sorting a very much smaller data set – SQL Server delays retrieving the LOB data itself until after the Sort starts producing its 150 rows.  The question that normally arises at this point is: Why doesn’t SQL Server use the same trick when the padding column is defined as VARCHAR(MAX)? The answer is connected with the fact that if the actual size of the VARCHAR(MAX) data is 8000 bytes or less, it is usually stored in-row in exactly the same way as for a VARCHAR(8000) column – MAX data only moves off-row into LOB storage when it exceeds 8000 bytes.  The default behaviour of the TEXT type is to be stored off-row by default, unless the ‘text in row’ table option is set suitably and there is room on the page.  There is an analogous (but opposite) setting to control the storage of MAX data – the ‘large value types out of row’ table option.  By enabling this option for a table, MAX data will be stored off-row (in a LOB structure) instead of in-row.  SQL Server Books Online has good coverage of both options in the topic In Row Data. The MAXOOR Table The essential difference, then, is that MAX defaults to in-row storage, and TEXT defaults to off-row (LOB) storage.  You might be thinking that we could get the same benefits seen for the TEXT data type by storing the VARCHAR(MAX) values off row – so let’s look at that option now.  This script creates a fourth table, with the VARCHAR(MAX) data stored off-row in LOB pages: CREATE TABLE dbo.TestMAXOOR ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAXOOR (id)] PRIMARY KEY CLUSTERED (id), ) ; EXECUTE sys.sp_tableoption @TableNamePattern = N'dbo.TestMAXOOR', @OptionName = 'large value types out of row', @OptionValue = 'true' ; SELECT large_value_types_out_of_row FROM sys.tables WHERE [schema_id] = SCHEMA_ID(N'dbo') AND name = N'TestMAXOOR' ; INSERT INTO dbo.TestMAXOOR WITH (TABLOCKX) ( padding ) SELECT SPACE(0) FROM dbo.TestCHAR ORDER BY id ; UPDATE TM WITH (TABLOCK) SET padding.WRITE (TC.padding, NULL, NULL) FROM dbo.TestMAXOOR AS TM JOIN dbo.TestCHAR AS TC ON TC.id = TM.id ; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAXOOR' ; CHECKPOINT ; Test 4 – MAXOOR We can now re-run our test on the MAXOOR (MAX out of row) table: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) MO.id, MO.padding FROM dbo.TestMAXOOR AS MO ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; TEXT Performance Summary: 0.3 seconds elapsed time 245MB memory grant 0MB tempdb usage 193MB estimated sort set 207 logical reads 446 LOB logical reads No sort warning The query runs very quickly – slightly faster than Test 3, and without spilling the sort to tempdb (there is no sort warning in the trace, and the monitoring query shows zero tempdb usage by this query).  SQL Server is passing the in-row pointer structure down the plan and only looking up the LOB value on the output side of the sort. The Hidden Problem There is still a huge problem with this query though – it requires a 245MB memory grant.  No wonder the sort doesn’t spill to tempdb now – 245MB is about 20 times more memory than this query actually requires to sort 50,000 records containing LOB data pointers.  Notice that the estimated row and data sizes in the plan are the same as in test 2 (where the MAX data was stored in-row). The optimizer assumes that MAX data is stored in-row, regardless of the sp_tableoption setting ‘large value types out of row’.  Why?  Because this option is dynamic – changing it does not immediately force all MAX data in the table in-row or off-row, only when data is added or actually changed.  SQL Server does not keep statistics to show how much MAX or TEXT data is currently in-row, and how much is stored in LOB pages.  This is an annoying limitation, and one which I hope will be addressed in a future version of the product. So why should we worry about this?  Excessive memory grants reduce concurrency and may result in queries waiting on the RESOURCE_SEMAPHORE wait type while they wait for memory they do not need.  245MB is an awful lot of memory, especially on 32-bit versions where memory grants cannot use AWE-mapped memory.  Even on a 64-bit server with plenty of memory, do you really want a single query to consume 0.25GB of memory unnecessarily?  That’s 32,000 8KB pages that might be put to much better use. The Solution The answer is not to use the TEXT data type for the padding column.  That solution happens to have better performance characteristics for this specific query, but it still results in a spilled sort, and it is hard to recommend the use of a data type which is scheduled for removal.  I hope it is clear to you that the fundamental problem here is that SQL Server sorts the whole set arriving at a Sort operator.  Clearly, it is not efficient to sort the whole table in memory just to return 150 rows in a random order. The TEXT example was more efficient because it dramatically reduced the size of the set that needed to be sorted.  We can do the same thing by selecting 150 unique keys from the table at random (sorting by NEWID() for example) and only then retrieving the large padding column values for just the 150 rows we need.  The following script implements that idea for all four tables: SET STATISTICS IO ON ; WITH TestTable AS ( SELECT * FROM dbo.TestCHAR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id = ANY (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAX ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestTEXT ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAXOOR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; All four queries now return results in much less than a second, with memory grants between 6 and 12MB, and without spilling to tempdb.  The small remaining inefficiency is in reading the id column values from the clustered primary key index.  As a clustered index, it contains all the in-row data at its leaf.  The CHAR and VARCHAR(MAX) tables store the padding column in-row, so id values are separated by a 3999-character column, plus row overhead.  The TEXT and MAXOOR tables store the padding values off-row, so id values in the clustered index leaf are separated by the much-smaller off-row pointer structure.  This difference is reflected in the number of logical page reads performed by the four queries: Table 'TestCHAR' logical reads 25511 lob logical reads 000 Table 'TestMAX'. logical reads 25511 lob logical reads 000 Table 'TestTEXT' logical reads 00412 lob logical reads 597 Table 'TestMAXOOR' logical reads 00413 lob logical reads 446 We can increase the density of the id values by creating a separate nonclustered index on the id column only.  This is the same key as the clustered index, of course, but the nonclustered index will not include the rest of the in-row column data. CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestCHAR (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAX (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestTEXT (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAXOOR (id); The four queries can now use the very dense nonclustered index to quickly scan the id values, sort them by NEWID(), select the 150 ids we want, and then look up the padding data.  The logical reads with the new indexes in place are: Table 'TestCHAR' logical reads 835 lob logical reads 0 Table 'TestMAX' logical reads 835 lob logical reads 0 Table 'TestTEXT' logical reads 686 lob logical reads 597 Table 'TestMAXOOR' logical reads 686 lob logical reads 448 With the new index, all four queries use the same query plan (click to enlarge): Performance Summary: 0.3 seconds elapsed time 6MB memory grant 0MB tempdb usage 1MB sort set 835 logical reads (CHAR, MAX) 686 logical reads (TEXT, MAXOOR) 597 LOB logical reads (TEXT) 448 LOB logical reads (MAXOOR) No sort warning I’ll leave it as an exercise for the reader to work out why trying to eliminate the Key Lookup by adding the padding column to the new nonclustered indexes would be a daft idea Conclusion This post is not about tuning queries that access columns containing big strings.  It isn’t about the internal differences between TEXT and MAX data types either.  It isn’t even about the cool use of UPDATE .WRITE used in the MAXOOR table load.  No, this post is about something else: Many developers might not have tuned our starting example query at all – 5 seconds isn’t that bad, and the original query plan looks reasonable at first glance.  Perhaps the NEWID() function would have been blamed for ‘just being slow’ – who knows.  5 seconds isn’t awful – unless your users expect sub-second responses – but using 250MB of memory and writing 200MB to tempdb certainly is!  If ten sessions ran that query at the same time in production that’s 2.5GB of memory usage and 2GB hitting tempdb.  Of course, not all queries can be rewritten to avoid large memory grants and sort spills using the key-lookup technique in this post, but that’s not the point either. The point of this post is that a basic understanding of execution plans is not enough.  Tuning for logical reads and adding covering indexes is not enough.  If you want to produce high-quality, scalable TSQL that won’t get you paged as soon as it hits production, you need a deep understanding of execution plans, and as much accurate, deep knowledge about SQL Server as you can lay your hands on.  The advanced database developer has a wide range of tools to use in writing queries that perform well in a range of circumstances. By the way, the examples in this post were written for SQL Server 2008.  They will run on 2005 and demonstrate the same principles, but you won’t get the same figures I did because 2005 had a rather nasty bug in the Top N Sort operator.  Fair warning: if you do decide to run the scripts on a 2005 instance (particularly the parallel query) do it before you head out for lunch… This post is dedicated to the people of Christchurch, New Zealand. © 2011 Paul White email: @[email protected] twitter: @SQL_Kiwi

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  • Backup Meta-Data

    - by BuckWoody
    I'm working on a PowerShell script to show me the trending durations of my backup activities. The first thing I need is the data, so I looked at the Standard Reports in SQL Server Management Studio, and found a report that suited my needs, so I pulled out the script that it runs and modified it to this T-SQL Script. A few words here - you need to be in the MSDB database for this to run, and you can add a WHERE clause to limit to a database, timeframe, type of backup, whatever. For that matter, I won't use all of the data in this query in my PowerShell script, but it gives me lots of avenues to graph: SELECT distinct t1.name AS 'DatabaseName' ,(datediff( ss,  t3.backup_start_date, t3.backup_finish_date)) AS 'DurationInSeconds' ,t3.user_name AS 'UserResponsible' ,t3.name AS backup_name ,t3.description ,t3.backup_start_date ,t3.backup_finish_date ,CASE WHEN t3.type = 'D' THEN 'Database' WHEN t3.type = 'L' THEN 'Log' WHEN t3.type = 'F' THEN 'FileOrFilegroup' WHEN t3.type = 'G' THEN 'DifferentialFile' WHEN t3.type = 'P' THEN 'Partial' WHEN t3.type = 'Q' THEN 'DifferentialPartial' END AS 'BackupType' ,t3.backup_size AS 'BackupSizeKB' ,t6.physical_device_name ,CASE WHEN t6.device_type = 2 THEN 'Disk' WHEN t6.device_type = 102 THEN 'Disk' WHEN t6.device_type = 5 THEN 'Tape' WHEN t6.device_type = 105 THEN 'Tape' END AS 'DeviceType' ,t3.recovery_model  FROM sys.databases t1 INNER JOIN backupset t3 ON (t3.database_name = t1.name )  LEFT OUTER JOIN backupmediaset t5 ON ( t3.media_set_id = t5.media_set_id ) LEFT OUTER JOIN backupmediafamily t6 ON ( t6.media_set_id = t5.media_set_id ) ORDER BY backup_start_date DESC I'll munge this into my Excel PowerShell chart script tomorrow. Script Disclaimer, for people who need to be told this sort of thing: Never trust any script, including those that you find here, until you understand exactly what it does and how it will act on your systems. Always check the script on a test system or Virtual Machine, not a production system. Yes, there are always multiple ways to do things, and this script may not work in every situation, for everything. It’s just a script, people. All scripts on this site are performed by a professional stunt driver on a closed course. Your mileage may vary. Void where prohibited. Offer good for a limited time only. Keep out of reach of small children. Do not operate heavy machinery while using this script. If you experience blurry vision, indigestion or diarrhea during the operation of this script, see a physician immediately. Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Windows Azure Use Case: Infrastructure Limits

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Physical hardware components take up room, use electricity, create heat and therefore need cooling, and require wiring and special storage units. all of these requirements cost money to rent at a data-center or to build out at a local facility. In some cases, this can be a catalyst for evaluating options to remove this infrastructure requirement entirely by moving to a distributed computing environment. Implementation: There are three main options for moving to a distributed computing environment. Infrastructure as a Service (IaaS) The first option is simply to virtualize the current hardware and move the VM’s to a provider. You can do this with Microsoft’s Hyper-V product or other software, build the systems and host them locally on fewer physical machines. This is a good option for canned-applications (where you have to type setup.exe) but not as useful for custom applications, as you still have to license and patch those servers, and there are hard limits on the VM sizes. Software as a Service (SaaS) If there is already software available that does what you need, it may make sense to simply purchase not only the software license but the use of it on the vendor’s servers. Microsoft’s Exchange Online is an example of simply using an offering from a vendor on their servers. If you do not need a great deal of customization, have no interest in owning or extending the source code, and need to implement a solution quickly, this is a good choice. Platform as a Service (PaaS) If you do need to write software for your environment, your next choice is a Platform as a Service such as Windows Azure. In this case you no longer manager physical or even virtual servers. You start at the code and data level of control and responsibility, and your focus is more on the design and maintenance of the application itself. In this case you own the source code and can extend or change it as you see fit. An interesting side-benefit to using Windows Azure as a PaaS is that the Application Fabric component allows a hybrid approach, which gives you a basis to allow on-premise applications to leverage distributed computing paradigms. No one solution fits every situation. It’s common to see organizations pick a mixture of on-premise, IaaS, SaaS and PaaS components. In fact, that’s a great advantage to this form of computing - choice. References: 5 Enterprise steps for adopting a Platform as a Service: http://blogs.msdn.com/b/davidmcg/archive/2010/12/02/5-enterprise-steps-for-adopting-a-platform-as-a-service.aspx?wa=wsignin1.0  Application Patterns for the Cloud: http://blogs.msdn.com/b/kashif/archive/2010/08/07/application-patterns-for-the-cloud.aspx

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  • Set App Windows to Always be on Top

    - by Asian Angel
    Sometimes you have a small app or other software that you want to keep topmost but how do you keep it on top without a lot of hassle? If this sounds like your situation then you might want to have a look at OnTop. Before For our example we had four individual apps open…any of the four could easily be on top at the moment. OnTop in Action The exe file for the app comes in a zip file. Simply unzip the file, place it in the Program Files Folder, create a shortcut and you are ready to go. Once you start OnTop you will see a new System Tray Icon…right click to access the Context Menu with a list of currently open apps. We decided to set Winamp to be always topmost first. Note: OnTop detected all three individual sections of our Winamp Player along with the individual monitors running in our Taskbar. Clicking on Paint.NET brought it forward over Firefox and Microsoft Word but Winamp was still sitting on top. Clicking on Microsoft Word next still did not affect Winamp’s topmost status. Nice. As soon as we switched the topmost status to Microsoft Word you can see that it immediately came to the front. One thing that we did note in our tests…the best method for switching topmost status is either to choose a different app or close the app that was topmost. Conclusion OnTop might be considered niche software but if you have an app window that you need to keep on top of other windows then you might want to give this small app a try. Links Download OnTop at Softpedia Similar Articles Productive Geek Tips Use the Windows Key for the "Start" Menu in Ubuntu LinuxIncrease the Cached Logon Count for Windows Computers on a DomainUsing Windows 7 or Vista Compatibility ModeQuick Tip: Change the Registered Owner in WindowsMake Safari Stop Crashing Every 20 Seconds on Windows Vista TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 2010 World Cup Schedule Boot Snooze – Reboot and then Standby or Hibernate Customize Everything Related to Dates, Times, Currency and Measurement in Windows 7 Google Earth replacement Icon (Icons we like) Build Great Charts in Excel with Chart Advisor tinysong gives a shortened URL for you to post on Twitter (or anywhere)

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  • Automatic Standby Recreation for Data Guard

    - by pablo.boixeda(at)oracle.com
    Hi,Unfortunately sometimes a Standby Instance needs to be recreated. This can happen for many reasons such as lost archive logs, standby data files, failover, among others.This is why we wanted to have one script to recreate standby instances in an easy way.This script recreates the standby considering some prereqs:-Database Version should be at least 11gR1-Dummy instance started on the standby node (Seeking to improve this so it won't be needed)-Broker configuration hasn't been removed-In our case we have two TNSNAMES files, one for the Standby creation (using SID) and the other one for production using service names (including broker service name)-Some environment variables set up by the environment db script (like ORACLE_HOME, PATH...)-The directory tree should not have been modified in the stanby hostWe are currently using it on our 11gR2 Data Guard tests.Any improvements will be welcome! Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} #!/bin/ksh ###    NOMBRE / VERSION ###       recrea_dg.sh   v.1.00 ### ###    DESCRIPCION ###       reacreacion de la Standby ### ###    DEVUELVE ###       0 Creacion de STANDBY correcta ###       1 Fallo ### ###    NOTAS ###       Este shell script NO DEBE MODIFICARSE. ###       Todas las variables y constantes necesarias se toman del entorno. ### ###    MODIFICADO POR:    FECHA:        COMENTARIOS: ###    ---------------    ----------    ------------------------------------- ###      Oracle           15/02/2011    Creacion. ### ### ### Cargar entorno ### V_ADMIN_DIR=`dirname $0` . ${V_ADMIN_DIR}/entorno_bd.sh 1>>/dev/null if [ $? -ne 0 ] then   echo "Error Loading the environment."   exit 1 fi V_RET=0 V_DATE=`/bin/date` V_DATE_F=`/bin/date +%Y%m%d_%H%M%S` V_LOGFILE=${V_TRAZAS}/recrea_dg_${V_DATE_F}.log exec 4>&1 tee ${V_FICH_LOG} >&4 |& exec 1>&p 2>&1 ### ### Variables para Recrear el Data Guard ### V_DB_BR=`echo ${V_DB_NAME}|tr '[:lower:]' '[:upper:]'` if [ "${ORACLE_SID}" = "${V_DB_NAME}01" ] then         V_LOCAL_BR=${V_DB_BR}'01'         V_REMOTE_BR=${V_DB_BR}'02' else         V_LOCAL_BR=${V_DB_BR}'02'         V_REMOTE_BR=${V_DB_BR}'01' fi echo " Getting local instance ROLE ${ORACLE_SID} ..." sqlplus -s /nolog 1>>/dev/null 2>&1 <<-! whenever sqlerror exit 1 connect / as sysdba variable salida number declare   v_database_role v\$database.database_role%type; begin   select database_role into v_database_role from v\$database;   :salida := case v_database_role        when 'PRIMARY' then 2        when 'PHYSICAL STANDBY' then 3        else 4      end; end; / exit :salida ! case $? in 1) echo " ERROR: Cannot get instance ROLE ." | tee -a ${V_LOGFILE}   2>&1    V_RET=1 ;; 2) echo " Local Instance with PRIMARY role." | tee -a ${V_LOGFILE}   2>&1    V_DB_ROLE_LCL=PRIMARY ;; 3) echo " Local Instance with PHYSICAL STANDBY role." | tee -a ${V_LOGFILE}   2>&1    V_DB_ROLE_LCL=STANDBY ;; *) echo " ERROR: UNKNOWN ROLE." | tee -a ${V_LOGFILE}   2>&1    V_RET=1 ;; esac if [ "${V_DB_ROLE_LCL}" = "PRIMARY" ] then         echo "####################################################################" | tee -a ${V_LOGFILE}   2>&1         echo "${V_DATE} - Reacreating  STANDBY Instance." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_REMOTE_BR} will be removed" | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         V_PRIMARY=${V_LOCAL_BR}         V_STANDBY=${V_REMOTE_BR} fi if [ "${V_DB_ROLE_LCL}" = "STANDBY" ] then         echo "####################################################################" | tee -a ${V_LOGFILE}   2>&1         echo "${V_DATE} - Reacreating  STANDBY Instance." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "DATAFILES, CONTROL FILES, REDO LOGS and ARCHIVE LOGS in standby instance ${V_LOCAL_BR} will be removed" | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         V_PRIMARY=${V_REMOTE_BR}         V_STANDBY=${V_LOCAL_BR} fi # Cargamos las variables de los hosts # Cargamos las variables de los hosts PRY_HOST=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_PRIMARY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` SBY_HOST=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',host_name from v\\$instance; EOF` echo "el HOST primary es: ${PRY_HOST}" | tee -a ${V_LOGFILE}   2>&1 echo "el HOST standby es: ${SBY_HOST}" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 ## ## Paramos la instancia STANDBY ## V_DATE=`/bin/date` echo "${V_DATE} - Shutting down Standby instance" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ## ## Paramos la instancia STANDBY ## SBY_STATUS=`sqlplus  /nolog << EOF | grep KEEP | sed 's/KEEP//;s/[   ]//g' connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba select 'KEEP',status from v\\$instance; EOF` if [ ${SBY_STATUS} = 'STARTED' ] || [ ${SBY_STATUS} = 'MOUNTED' ] || [ ${SBY_STATUS} = 'OPEN' ] then         echo "${V_DATE} - Standby instance shutdown in progress..." | tee -a ${V_LOGFILE}   2>&1         echo "" | tee -a ${V_LOGFILE}   2>&1         echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1         sqlplus -s /nolog 1>>/dev/null 2>&1 <<-!         whenever sqlerror exit 1         connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba         shutdown abort         ! fi V_DATE=`/bin/date` echo "" echo "${V_DATE} - Standby instance stopped" | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ## ## Eliminamos los ficheros de la base de datos ## V_SBY_SID=`echo ${V_STANDBY}|tr '[:upper:]' '[:lower:]'` V_PRY_SID=`echo ${V_PRIMARY}|tr '[:upper:]' '[:lower:]'` ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/data/*.dbf ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch/*.arc ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.ctl ssh ${SBY_HOST} rm /opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/*.rdo ## ## Startup nomount stby instance ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Starting  DUMMY Standby Instance " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ssh ${SBY_HOST} touch /home/oracle/init_dg.ora ssh ${SBY_HOST} 'echo "DB_NAME='${V_DB_NAME}'">>/home/oracle/init_dg.ora' ssh ${SBY_HOST} touch /home/oracle/start_dummy.sh ssh ${SBY_HOST} 'echo "ORACLE_HOME=/opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_HOME">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "PATH=\$ORACLE_HOME/bin:\$PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export PATH">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "ORACLE_SID='${V_SBY_SID}'">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "export ORACLE_SID">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "sqlplus -s /nolog <<-!" >>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      whenever sqlerror exit 1 ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      connect / as sysdba ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "      startup nomount pfile='\''/home/oracle/init_dg.ora'\''">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'echo "! ">>/home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'chmod 744 /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'sh /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/start_dummy.sh' ssh ${SBY_HOST} 'rm /home/oracle/init_dg.ora' ## ## TNSNAMES change, specific for RMAN duplicate ## V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Setting up TNSNAMES in PRIMARY host " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.inst  /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' V_DATE=`/bin/date` echo "" | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Starting STANDBY creation with RMAN.. " | tee -a ${V_LOGFILE}   2>&1 echo "" | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************" | tee -a ${V_LOGFILE}   2>&1 rman<<-! >>${V_LOGFILE} connect target sys/${V_DB_PWD}@${V_PRIMARY} connect auxiliary sys/${V_DB_PWD}@${V_STANDBY} run { allocate channel prmy1 type disk; allocate channel prmy2 type disk; allocate channel prmy3 type disk; allocate channel prmy4 type disk; allocate auxiliary channel stby type disk; duplicate target database for standby from active database dorecover spfile parameter_value_convert '${V_PRY_SID}','${V_SBY_SID}' set control_files='/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/ctl/control01.ctl','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/redo/control02.ctl' set db_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set log_file_name_convert='/opt/oracle/db/db${V_DB_NAME}/${V_PRY_SID}/','/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/' set 'db_unique_name'='${V_SBY_SID}' set log_archive_config='DG_CONFIG=(${V_PRIMARY},${V_STANDBY})' set fal_client='${V_STANDBY}' set fal_server='${V_PRIMARY}' set log_archive_dest_1='LOCATION=/opt/oracle/db/db${V_DB_NAME}/${V_SBY_SID}/arch DB_UNIQUE_NAME=${V_SBY_SID} MANDATORY VALID_FOR=(ALL_LOGFILES,ALL_ROLES)' set log_archive_dest_2='SERVICE="${V_PRIMARY}"','SYNC AFFIRM DB_UNIQUE_NAME=${V_PRY_SID} DELAY=0 MAX_FAILURE=0 REOPEN=300 REGISTER VALID_FOR=(ONLINE_LOGFILES,PRIMARY_ROLE)' nofilenamecheck ; } ! V_DATE=`/bin/date` if [ $? -ne 0 ] then         echo ""         echo "${V_DATE} - Error creating STANDBY instance"         echo ""         echo "********************************************************************************" else         echo ""         echo "${V_DATE} - STANDBY instance created SUCCESSFULLY "         echo ""         echo "********************************************************************************" fi sqlplus -s /nolog 1>>/dev/null 2>&1 <<-!         whenever sqlerror exit 1         connect sys/${V_DB_PWD}@${V_STANDBY} as sysdba         alter system set local_listener='(ADDRESS=(PROTOCOL=TCP)(HOST=${SBY_HOST})(PORT=1544))' scope=both;         alter system set service_names='${V_DB_NAME}.eu.roca.net,${V_SBY_SID}.eu.roca.net,${V_SBY_SID}_DGMGRL.eu.roca.net' scope=both;         alter database recover managed standby database using current logfile disconnect from session;         alter system set dg_broker_start=true scope=both; ! ## ## TNSNAMES change, back to Production Mode ## V_DATE=`/bin/date` echo " " | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} - Restoring TNSNAMES in PRIMARY "  | tee -a ${V_LOGFILE}   2>&1 echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************"  | tee -a ${V_LOGFILE}   2>&1 ssh ${PRY_HOST} 'cp /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora.prod  /opt/oracle/db/db'${V_DB_NAME}'/soft/db11.2.0.2/network/admin/tnsnames.ora' echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "${V_DATE} -  Waiting for media recovery before check the DATA GUARD Broker"  | tee -a ${V_LOGFILE}   2>&1 echo ""  | tee -a ${V_LOGFILE}   2>&1 echo "********************************************************************************"  | tee -a ${V_LOGFILE}   2>&1 sleep 200 dgmgrl <<-! | grep SUCCESS 1>/dev/null 2>&1     connect ${V_DB_USR}/${V_DB_PWD}@${V_STANDBY}     show configuration verbose; ! if [ $? -ne 0 ] ; then         echo "       ERROR: El status del Broker no es SUCCESS" | tee -a ${V_LOGFILE}   2>&1 ;         V_RET=1 else          echo "      DATA GUARD OK " | tee -a ${V_LOGFILE}   2>&1 ; Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}         V_RET=0 fi Hope it helps.

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  • DevExpress XAF, Behavior Driven Development (BDD), Domain Driven Development (DDD) and more&ndash;Introduction

    - by Patrick Liekhus
    OK.  I admit it.  I have been horrible at this blogging thing.  However, I have made a commitment to get better at it so here goes.  I have many crazy ideas when it comes to coding and how to make my processes better and now is the time to get them down on paper and get your feedback.  Now, these ideas might not be nearly as wild and crazy as Charlie Sheen, but at least they help me get through my coding assignments. So let’s start by laying out the vision and objectives of this exercise.  I have been trying to come up with the best set of tools, tips and practices so I can get a small team to be as productive as possible without burning out my resources.  My thoughts tend to lean towards the coding practices first as this is what I have been doing for years.  However, as one looks at the process as a whole, we need to remember to keep the users in mind.  If we don’t have a user to accept our application, do we really have an application in the first place? I have been using a commercial framework from DevExpress called eXpress Application Framework (XAF) with their eXpress Persistent Objects (XPO) behind the scenes for a few years.  We have had tremendous success with it and even implemented a code generation layer to save us some time.  Now we want more!!! My goals here are to create a technical stack that employs as many UI’s as possible, while being true to the layers and documenting the process along the way.  I will continue to have a series of these posts that will walk through each step as I work on it.  Right now here is what I have planned: Defining the solution SCRUM/Agile Story Planning Overview of Architectural Plan Feature Driven Development Domain Driven Development Persistence Layer with XPO Windows UI with XAF/XPO Web UI with XAF/XPO OData Services Layer Windows Mobile UI Android UI iPhone UI Blackberry UI Excel UI Outlook UI Lessons Learned I will explain the solution that I plan to implement in the next post.  Thanks again and let me know what you think.

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  • 2D Barcode Addendum

    - by Tim Dexter
    Having finally got my external drive back(long story) today from Oklahoma (thank you so much Sammy) Im back with a full compliment of Oracle and blogging tools at my disposal. I have missed JDeveloper this past week, which I have found, I immensely prefer over Eclipse (let the flaming commence :0) I use Zoundry Raven for writing articles and its not installed locally but on my external drove, so I have been soldiering on with the blog server's pain in the backside UI for writing. Now I have my favority editor back and things are calming down workwise, I will start to get the Excel template posts out. Today thou, a note about 2D barcode support or more specifically any barcode that needs some data manipulation before the barcode font is applied. I wrote about these fonts a long time back and laid out the java class you would need to write if you had an algorithm from the font manufacturer to use. I missed out a valuable point and James at Luminex fell into the trap. He was wanting to use the datamatrix font from IDAutomation but and had built the java class to be called from the RTF template but it was not encoding or at least did not appear to be. New debugging feature to the rescue. Kan over at the bipconsultng blog documented the feature a while back. Just adding <?xdo-debug-level:'STATEMENT'?> to my test template generated all the debug files in my c:\temp directory. No messing with files, just a simple command ... at last! Kan has documented the feature here. With the log in hand I spotted a java error stack referencing a missing code128a method, huh? Looking at James' class he had the following snippet: ENCODERS.put("code128a",mUtility.getClass().getMethod("code128a",clazz)); ENCODERS.put("code128b",mUtility.getClass().getMethod("code128b", clazz)); ENCODERS.put("code128c",mUtility.getClass().getMethod("code128c", clazz)); ENCODERS.put("pdf417",mUtility.getClass().getMethod("pdf417", clazz)); ENCODERS.put("datamatrix",mUtility.getClass().getMethod("datamatrix", clazz)); His class did not include the other code128 and pdf147 methods and BIP was expecting them. An easy fix, just comment them out, rebuild and deploy and the encoding started working. If you are hitting similar problems, check that class and ensure all of the referenced methods are available, if not, delete or get commenting. James now has purdy labels popping out that his hard ware can read, sweet!

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  • NoSQL is not about object databases

    - by Bertrand Le Roy
    NoSQL as a movement is an interesting beast. I kinda like that it’s negatively defined (I happen to belong myself to at least one other such a-community). It’s not in its roots about proposing one specific new silver bullet to kill an old problem. it’s about challenging the consensus. Actually, blindly and systematically replacing relational databases with object databases would just replace one set of issues with another. No, the point is to recognize that relational databases are not a universal answer -although they have been used as one for so long- and recognize instead that there’s a whole spectrum of data storage solutions out there. Why is it so hard to recognize, by the way? You are already using some of those other data storage solutions every day. Let me cite a few: The file system Active Directory XML / JSON documents The Web e-mail Logs Excel files EXIF blobs in your photos Relational databases And yes, object databases It’s just a fact of modern life. Notice by the way that most of the data that you use every day is unstructured and thus mostly unsuitable for relational storage. It really is more a matter of recognizing it: you are already doing NoSQL. So what happens when for any reason you need to simultaneously query two or more of these heterogeneous data stores? Well, you build an index of sorts combining them, and that’s what you query instead. Of course, there’s not much distance to travel from that to realizing that querying is better done when completely separated from storage. So why am I writing about this today? Well, that’s something I’ve been giving lots of thought, on and off, over the last ten years. When I built my first CMS all that time ago, one of the main problems my customers were facing was to manage and make sense of the mountain of unstructured data that was constituting most of their business. The central entity of that system was the file system because we were dealing with lots of Word documents, PDFs, OCR’d articles, photos and static web pages. We could have stored all that in SQL Server. It would have worked. Ew. I’m so glad we didn’t. Today, I’m working on Orchard (another CMS ;). It’s a pretty young project but already one of the questions we get the most is how to integrate existing data. One of the ideas I’ll be trying hard to sell to the rest of the team in the next few months is to completely split the querying from the storage. Not only does this provide great opportunities for performance optimizations, it gives you homogeneous access to heterogeneous and existing data sources. For free.

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  • TSAM 11gR1

    - by todd.little
    The Tuxedo System and Application Monitor (TSAM) 11gR1 release provides powerful new application monitoring capabilities, as well as significant improvements in ease of use. The first thing users will notice is the completely redesigned user interface in the TSAM console. Based on Oracle ADF, the console is much easier to navigate, provides a Web 2.0 style interface with dynamically updating panels, and a look and feel familiar to those that have used Oracle Enterprise Manager. Monitoring data can be viewed in both tabular and graphical form and exported to Excel for further analysis. A number of new metrics are collected and displayed in this release. Call path monitoring now displays CPU time, message size, total transport time, and client address giving even more end-to-end information about a specific Tuxedo request. As well the call path display has been completely revamped to make it much easier to see the branches of the call path. The call pattern display now provides statistics on successful vs failed calls, system and application failures, and end-to-end average elapsed time. Service monitoring now displays minimum and maximum message size, CPU usage, and client address. System server monitoring now includes monitoring the SALT gateway servers to provide detailed performance metrics about those servers. Perhaps the most significant new feature is the consolidation of alert definitions and policy management. In previous versions of TSAM, some alerts were defined and checked on the monitored systems while others were defined and checked in the console. Policy management could be performed on both the monitored node via environment variable or command, as well as from the console. Now all alert definitions and policy definitions are only made using the console. For alerts this means that regardless of where the alert is evaluated it is defined in one and only one place. Thus the plug-in alert mechanism of previous releases can now be managed using the TSAM console, making SLA alert definition much easier and cleaner. Finally there is support in TSAM for monitoring rehosted mainframe applications. The newly announced Oracle Tuxedo Application Runtime for CICS and Batch can be monitored in the TSAM console using traditional mainframe views of the application such as regions. Look for a future blog entry with more details on this as well as some entries providing a glimpse of the console. TSAM gives users a single point for monitoring the performance of all of their Tuxedo applications.

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  • Plan Caching and Query Memory Part I – When not to use stored procedure or other plan caching mechanisms like sp_executesql or prepared statement

    - by sqlworkshops
      The most common performance mistake SQL Server developers make: SQL Server estimates memory requirement for queries at compilation time. This mechanism is fine for dynamic queries that need memory, but not for queries that cache the plan. With dynamic queries the plan is not reused for different set of parameters values / predicates and hence different amount of memory can be estimated based on different set of parameter values / predicates. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. This article covers Sort with examples. It is recommended to read Plan Caching and Query Memory Part II after this article which covers Hash Match operations.   When the plan is cached by using stored procedure or other plan caching mechanisms like sp_executesql or prepared statement, SQL Server estimates memory requirement based on first set of execution parameters. Later when the same stored procedure is called with different set of parameter values, the same amount of memory is used to execute the stored procedure. This might lead to underestimation / overestimation of memory on plan reuse, overestimation of memory might not be a noticeable issue for Sort operations, but underestimation of memory will lead to spill over tempdb resulting in poor performance.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   To read additional articles I wrote click here.   In most cases it is cheaper to pay for the compilation cost of dynamic queries than huge cost for spill over tempdb, unless memory requirement for a stored procedure does not change significantly based on predicates.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Most of these concepts are also covered in our webcasts: www.sqlworkshops.com/webcasts   Enough theory, let’s see an example where we sort initially 1 month of data and then use the stored procedure to sort 6 months of data.   Let’s create a stored procedure that sorts customers by name within certain date range.   --Example provided by www.sqlworkshops.com create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1)       end go Let’s execute the stored procedure initially with 1 month date range.   set statistics time on go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 48 ms to complete.     The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.       The estimated number of rows, 43199.9 is similar to actual number of rows 43200 and hence the memory estimation should be ok.       There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 679 ms to complete.      The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.      The estimated number of rows, 43199.9 is way different from the actual number of rows 259200 because the estimation is based on the first set of parameter value supplied to the stored procedure which is 1 month in our case. This underestimation will lead to sort spill over tempdb, resulting in poor performance.      There was Sort Warnings in SQL Profiler.    To monitor the amount of data written and read from tempdb, one can execute select num_of_bytes_written, num_of_bytes_read from sys.dm_io_virtual_file_stats(2, NULL) before and after the stored procedure execution, for additional information refer to the webcast: www.sqlworkshops.com/webcasts.     Let’s recompile the stored procedure and then let’s first execute the stored procedure with 6 month date range.  In a production instance it is not advisable to use sp_recompile instead one should use DBCC FREEPROCCACHE (plan_handle). This is due to locking issues involved with sp_recompile, refer to our webcasts for further details.   exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go Now the stored procedure took only 294 ms instead of 679 ms.    The stored procedure was granted 26832 KB of memory.      The estimated number of rows, 259200 is similar to actual number of rows of 259200. Better performance of this stored procedure is due to better estimation of memory and avoiding sort spill over tempdb.      There was no Sort Warnings in SQL Profiler.       Now let’s execute the stored procedure with 1 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 49 ms to complete, similar to our very first stored procedure execution.     This stored procedure was granted more memory (26832 KB) than necessary memory (6656 KB) based on 6 months of data estimation (259200 rows) instead of 1 month of data estimation (43199.9 rows). This is because the estimation is based on the first set of parameter value supplied to the stored procedure which is 6 months in this case. This overestimation did not affect performance, but it might affect performance of other concurrent queries requiring memory and hence overestimation is not recommended. This overestimation might affect performance Hash Match operations, refer to article Plan Caching and Query Memory Part II for further details.    Let’s recompile the stored procedure and then let’s first execute the stored procedure with 2 day date range. exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-02' go The stored procedure took 1 ms.      The stored procedure was granted 1024 KB based on 1440 rows being estimated.      There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go   The stored procedure took 955 ms to complete, way higher than 679 ms or 294ms we noticed before.      The stored procedure was granted 1024 KB based on 1440 rows being estimated. But we noticed in the past this stored procedure with 6 month date range needed 26832 KB of memory to execute optimally without spill over tempdb. This is clear underestimation of memory and the reason for the very poor performance.      There was Sort Warnings in SQL Profiler. Unlike before this was a Multiple pass sort instead of Single pass sort. This occurs when granted memory is too low.      Intermediate Summary: This issue can be avoided by not caching the plan for memory allocating queries. Other possibility is to use recompile hint or optimize for hint to allocate memory for predefined date range.   Let’s recreate the stored procedure with recompile hint. --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, recompile)       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.      The stored procedure with 1 month date range has good estimation like before.      The stored procedure with 6 month date range also has good estimation and memory grant like before because the query was recompiled with current set of parameter values.      The compilation time and compilation CPU of 1 ms is not expensive in this case compared to the performance benefit.     Let’s recreate the stored procedure with optimize for hint of 6 month date range.   --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, optimize for (@CreationDateFrom = '2001-01-01', @CreationDateTo ='2001-06-30'))       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.    The stored procedure with 1 month date range has overestimation of rows and memory. This is because we provided hint to optimize for 6 months of data.      The stored procedure with 6 month date range has good estimation and memory grant because we provided hint to optimize for 6 months of data.       Let’s execute the stored procedure with 12 month date range using the currently cashed plan for 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-12-31' go The stored procedure took 1138 ms to complete.      2592000 rows were estimated based on optimize for hint value for 6 month date range. Actual number of rows is 524160 due to 12 month date range.      The stored procedure was granted enough memory to sort 6 month date range and not 12 month date range, so there will be spill over tempdb.      There was Sort Warnings in SQL Profiler.      As we see above, optimize for hint cannot guarantee enough memory and optimal performance compared to recompile hint.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   Summary: Cached plan might lead to underestimation or overestimation of memory because the memory is estimated based on first set of execution parameters. It is recommended not to cache the plan if the amount of memory required to execute the stored procedure has a wide range of possibilities. One can mitigate this by using recompile hint, but that will lead to compilation overhead. However, in most cases it might be ok to pay for compilation rather than spilling sort over tempdb which could be very expensive compared to compilation cost. The other possibility is to use optimize for hint, but in case one sorts more data than hinted by optimize for hint, this will still lead to spill. On the other side there is also the possibility of overestimation leading to unnecessary memory issues for other concurrently executing queries. In case of Hash Match operations, this overestimation of memory might lead to poor performance. When the values used in optimize for hint are archived from the database, the estimation will be wrong leading to worst performance, so one has to exercise caution before using optimize for hint, recompile hint is better in this case. I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.     Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.     Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Play a New Random Game Each Day in Chrome

    - by Asian Angel
    Being able to unwind for a few moments each day can make the time pass so much better and help you feel refreshed. If your favorite method for relaxing is playing a quick game, then join us as we take a look at the Random Games from MyGiochi.net extension for Google Chrome. Random Games from MyGiochi.net in Action The really great thing about this extension is that each day you can have a new random game to play. If you love variety this is definitely going to be a perfect match for you. We got “Power Golf” as our random game of the day. Here is a look at things once we got started…this one can be a lot of fun to play. Time to move on to the third hole now… What if you want something different from the game available on any given day? In the upper right corner you will find links for “game categories” that you can look through (clicking on the links will open a new tab). Since the links are in Italian you might need to experiment a little bit to find the category that you want to browse through. We chose the “Games for Girls Category”. With Chrome’s new built in “Translation Bar” you can easily switch the page over to the language of your choice. Note: Translation Bar available in Dev Channel releases. Ready to choose a fun game to play! You really can have a lot of fun with the games available at My Giochi. With our “game of the day” we had a second option for other games to try. More games equals more fun! Conclusion If playing online games is your favorite way to relax then the MyGiochi.net extension will make a great addition to your browser. Have fun with all of those new games each day! Links Download the Random Games from MyGiochi.net extension (Google Chrome Extensions) Similar Articles Productive Geek Tips Geek Fun: Play Alien Arena the Free FPS GamePlay Avalanche!! in Google ChromeFriday Fun: Get Your Mario OnFriday Fun: Play Bubble QuodFriday Fun: 13 Days in Hell TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional How to Browse Privately in Firefox Kill Processes Quickly with Process Assassin Need to Come Up with a Good Name? Try Wordoid StockFox puts a Lightweight Stock Ticker in your Statusbar Explore Google Public Data Visually The Ultimate Excel Cheatsheet

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  • View and Flip Between Firefox Tabs in 3D

    - by Asian Angel
    Are you tired of the default tab switching style in Firefox? Then get ready to enjoy a more visually pleasing 3D experience with the FoxTab extension. Using FoxTab As soon as you have the extension installed, you will see a new toolbar button available beside the address bar. Before going further you may want to look through the viewing styles available in the lower right corner. Note: You can choose to have the FoxTab button appear in the status bar if preferred or use the keyboard (i.e. F12) by itself to launch FoxTab. The grid view with an angled 3D setting. The page flow view with a more frontal look. If the default background color is not to your liking then you can easily change to a new color or insert a background image. After choosing a new background color, making a few adjustments in the options, and opening more tabs things look very nice using the grid viewing style. Followed by the carousel viewing style. And finally the wall viewing style. You can also set up a top sites page using your favorite viewing style. To add a page to the top sites group right click within the webpage and select Add To Top Sites. Just like that your new selection is added in. Keep in mind that we were not able to move/switch positions in the grid during our tests. Options The extension has plenty of options and settings to help you customize FoxTab to your liking. Conclusion FoxTab adds visually pleasing 3D tab switching to Firefox for anyone who loves eye candy and a touch of fun while browsing. Links Download the FoxTab extension (Mozilla Add-ons) Visit the FoxTab Homepage Similar Articles Productive Geek Tips You Really Want to Completely Disable Tabs in Firefox?Quick Hits: 11 Firefox Tab How-TosQuick Tip: Save Windows and Tabs When Restarting FirefoxMake Firefox Use Multiple Rows of TabsQuick Tip: Use Tab Characters in Textarea Boxes in Firefox TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 2010 World Cup Schedule Boot Snooze – Reboot and then Standby or Hibernate Customize Everything Related to Dates, Times, Currency and Measurement in Windows 7 Google Earth replacement Icon (Icons we like) Build Great Charts in Excel with Chart Advisor tinysong gives a shortened URL for you to post on Twitter (or anywhere)

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • Thoughts on Nexus in SQL Server PDW

    - by jamiet
    I have been on a SQL Server Parallel Data Warehouse (aka PDW) training course this week and was interested to learn that you can't (yet) use SQL Server Management Studio (SSMS) against PDW, instead they ship a 3rd party tool called Nexus Chameleon. This was a bit of a disappointment at the beginning of the week (I'd prefer parity across SQL Server editions) but actually, having used Nexus for 3 days, I'm rather getting used to it. Some of it is a bit clunky (e.g. everything goes via an ODBC DSN) but once you get into using it its the epitome of "it just works". For example, over the past few years I have come to rely on intellisense in SSMS and have learnt to cope with its nuances. There is no intellisense in Nexus but you know what....I don't really miss it that much. In a sense its a breath of fresh air not having to hope that you've crossed the line into that will it work/won't it work grey area with SSMS intellisense. And I don't end up with writing @@CONNECTIONS instead of FROM anymore (anyone else suffer from this?) :) Moreover, Nexus is a standalone tool. Its not a bunch of features shoehorned into something else (Visual Studio). Another thing I like about Nexus is that you can actually do something with your resultset client-side. Take a look at the screenshots below:   You can see Nexus allows you to group a resultest by a column or set of columns. Nice touch. I know that many people have submitted Connect requests asking for the ability to do similar things in SSMS that would mean we don't have to copy resultsets into Excel (I know I have) - Nexus is a step in that direction. Its refreshing to use a tool that just gets out of the way yet still has some really useful features. How ironic that it gets shipped inside an edition of SQL Server! If I had the option of using Nexus in my day job I suspect that over time I would probably gravitate back to SSMS because as yet I haven’t really stretched Nexus’ capabilities, overall SSMS *does* have more features and up until now I've never really had any objections to it ... but its been an interesting awakening into the nuances that plague SSMS. Anyone else used Nexus? Any thoughts on it? @Jamiet

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  • Oracle WebCenter: Social Networking & Collaboration

    - by kellsey.ruppel(at)oracle.com
    We’ve talked in previous weeks about the key goals of the new release of WebCenter are providing a Modern User Experience, unparalleled Application Integration, converging all the best of the existing portal platforms into WebCenter and delivering a Common User Experience Architecture.  We’ve provided an overview of Oracle WebCenter and discussed some of the other key goals in previous weeks, and this week, we’ll focus on how the new release of Oracle WebCenter provides unprecedented Social Networking and Collaboration.We recently talked with Carin Chan, Principal Product Manager at Oracle, around the topic of Social Networking and Collaboration. In today’s work environment, employees have come to expect social and collaborative services to augment their work environment. Whether it is to post a blog or to poll fellow coworkers, employees expect and demand access to highly integrated, collaborative work environments that allow them to quickly contribute at work -- whether it is to make informed decisions, contribute on projects, or share knowledge.Social and collaborative services from Oracle WebCenter add an immeasurable amount of value to achieving a modern user experience. Oracle WebCenter Services provides rich and comprehensive social computing services that include services such as wikis, blogs, instant messaging, presence, activity streams and graphs, and polls/surveys that offer employees access to rich collaborative services to work efficiently.Employees can create pages or spaces that mix and match collaborative services while bringing in data from other applications to share with groups, teams, or organizations. These out of the box social and collaborative services include: People Connections and Activity Streams enable users to quickly assemble and visualize their social business networks and track user activities.Activity Graphs tracks all user activities in real-time and gathers intelligence about these users, their connections and the way they use information to make educated recommendations and provide on the spot information discovery.Wikis and blogs enable the community authoring of documents and sharing of ideas and also allow for the gathering of feedback and comments on those ideas.Tags and links allow users to easily mark, connect and share information with others.RSS feeds are available to track new or changed information related to discussion forums, processes or activities in an Oracle WebCenter environment.Discussion forums enable sharing of group knowledge and easy creation of communities around specific topics.Announcements allow you to manage and publish important news to your user base.Instant Messaging and Presence enable real-time awareness and communication with available users in the context of a business task.Web and Voice Conferencing enables real-time communication with internal and external business users.Lists provide a way to manage list data directly on the web as well as export and import it from and to Microsoft Excel.Oracle WebCenter Analytics provides comprehensive reporting metrics on activity and content usage within portals or composite applications.Activity Streams allow you to track activities and visualize your business networks.While being able to integrate into your portal deployment, these services are also integrated into how users are already working. This includes integration with software such as Microsoft Outlook, Microsoft Office and mobile devices such as the Apple iPhone. These services are just a tip of the iceberg regarding social and collaborative services that Oracle WebCenter has to offer your employees. Be sure to keep checking back this week for in future posts, we’ll delve deeper into a few of these collaborative services and discuss how a combination of collaborative services offer a better portal deployment to empower business users. Technorati Tags: UXP, collaboration, enterprise 2.0, modern user experience, oracle, portals, webcenter, social, activity streams, blogs, wikis

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  • Error Using 32 vs. 64 bit SharePoint 2007 DLLs with PowerShell

    - by Brian Jackett
    Next time you fire up PowerShell to work with the SharePoint API make sure you launch the proper bit version of PowerShell.  Last week I had an interesting error that led to this blog post.  Travel back in time a little bit with me to see where this 32 vs. 64 bit debate started. History     Ever since the first pre-beta bits of Office 2010 landed in my lap I have been questioning whether it’s better to run 32 or 64 bit applications on a 64 bit host operating system.  In relation to Office 2010 I heard a number of arguments for 32 bit including this link from the Office 2010 Engineering team.  Given my typical usage scenarios 32 bit seemed the way to go since I wasn’t a “super RAM hungry” Excel user or the like. The Problem     Since I had chosen 32 bit Office 2010, I tried to stick with 32 bit version of other programs that I run assuming the same benefits and rules applied to other applications.  This is where I was wrong.  Last week I was attempting to use 32 bit PowerShell ISE (Integrated Scripting Environment) on a 64 bit WSS 3.0 server.  When trying to reference the 64 bit SharePoint DLLs I got the following errors about not being able to find the web application.     I have run into these errors when I have hosts file issues or improper permissions to the farm / site collection but these were not the case.  After taking a quick spin around the interwebs I ran across the below forum post comment and another MSDN forum reply that explained the error.  Turns out that sometimes it’s not possible to run 32 bit applications against a 64 bit OS / farm / assembly / etc. …the problem could also be because your SharePoint is 64-Bit but your app is running in 32-bit mode     I quickly exited 32 bit PowerShell ISE and ran the same code under 64 bit PowerShell ISE.  All errors were gone and the script ran successfully.   Conclusion     The rules of 32 vs. 64 bit interoperability do not always apply evenly across all applications and scenarios.  In my case I wasn’t able to run 32 bit PowerShell against 64 bit SharePoint DLLs.  I’m updating all of my links and shortcuts to use 64 bit PowerShell where appropriate.  I’m quite surprised it has taken me this long to run into this error, but sometimes blind luck is all that keeps you from running into errors.  Lesson learned and hopefully this can benefit you as well.  Happy SharePointing all!         -Frog Out   Links http://blogs.technet.com/b/office2010/archive/2010/02/23/understanding-64-bit-office.aspx http://social.msdn.microsoft.com/Forums/en-US/sharepointdevelopment/thread/a732cb83-c2ef-4133-b04e-86477b72bbe3/ http://stackoverflow.com/questions/266255/filenotfoundexception-with-the-spsite-constructor-whats-the-problem

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  • The Oracle Cash Management Secret Very Few Customers Know About

    - by Theresa Hickman
    Did you know that Oracle Cash Management has a robust positioning feature? I had no idea. I was under the mistaken impression that Oracle Cash Management only did bank statement reconciliations. It seems I am not alone. In fact, many Oracle Financials customers are also not aware of this even though it is delivered for free with the Oracle Financials license. Even better, last week, Oracle released an enhancement to Oracle Cash Management for Release 12 that will greatly help customers with their cash positioning needs. As we all know, credit is tight these days. Companies need better visibility of their cash and other liquidity positions to make better use of their cash resources. Today, many customers are managing their cash positions manually using spreadsheets. We also hear how many of them are maintaining larger than normal balances in numerous bank accounts because they just do not have the visibility, and therefore the comfort they need. Although spreadsheets may work in the short-term, they are not the best way to manage your cash positions for the long-term especially if you have dozens, or even hundreds of bank and brokerage accounts. Also, spreadsheets are a lot more risky because they can be overwritten, deleted, difficult to audit, etc. With the newly enhanced positioning feature in Oracle Cash Management, customers can manage their daily cash positions using an excel-like interface that is very flexible and user-configurable. You can link the worksheet to an unlimited number of bank accounts to automatically retrieve your opening balances, the current/intra-day cash inflows and outflows, as well as your expected cash flows from your Fx, Investment and Debt positions if you have Oracle's Treasury module . Oracle Cash Management also has direct integration with Oracle Receivables, Oracle Payables, and Payroll, which adds to the comprehensive picture of what's happening with your organizations' cash in real-time. Here's a screen shot of what the cash positioning page looks like: View image As you can see, your Treasurers can obtain a holistic view of all cash positions across any number of bank accounts as well as other sources of cash flow movements. Depending on how they manage their accounts, they can also use this feature to initiate or monitor bank account sweeps or transfers between their zero balance accounts (ZBA) or cash pools. The cash position worksheet provide drill down for more detail and the ability to manually enter items directly into the worksheet for even greater flexibility and control. The enhancements to this feature were released last week. The following list the patches for Release 12.0.6 and 12.1.1: For more information, visit the following website. http://launch.oracle.com. PIN: yes2try

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  • K2 4.5 Quick Thoughts

    I just finished attending a webcast on K2 4.5 and I thought Id share a few quick thoughts. Power User Story Improved Given it is just a presentation and I havent actually played with it, the story seemed improved and more believable that real world power users would be able to define workflows in SharePoint.  Power users who would be comfortable with Excel functions may be able to do some more worthwhile workflows since there is new support for inline functions and conditions.  The new SilverLight K2 designer seems pretty user friendly, though the dialog windows can really stack up which may get confusing.  I thought the neatest part was that the workflow can be defined just by starting with a SharePoint Lists settings which may be okay for some organizations and simpler workflows that dont need to define the workflow and push it through lots of testing in different environments.  The standalone K2 Studio is back.  In K2 2003 it was required because Visual Studio integration didnt exist.  Its back now for use by power users who need functionality up to the point of code.  Not sure if this Administration/Installation Installation is supposed to be simplified, with unattended install and other details I didnt catch.  Install and configuration has always seemed daunting to me so anything to improve that is good.  Related to that there is a new tool that is meant to help diagnose issues in your installation.  That may include figuring out missing permissions or services that arent running.  Also, now all K2 SharePoint features deployed as solutions. Dynamic SQL Service Broker Create a smart object to go against a table that you created, NOT the SmartBox.  This seems promising and something that maybe should have been there all along. Reference Event Allows you to call functionally that youve referenced, in the sample showing it was calling a web service that was referenced.  It seemed odd because it was really like writing code using dialogs (call constructor, set timeout, call web service method).  Seemed a little odd to me. Help We were reminded that help.k2.com site is newish site that is supposed to be the MSDN of K2 for partners and customers. VS 2010 Support Still no hard date on this, but what we were told is approximately 90 days after VS 2010 is officially released.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Wo finde ich was im OPN?

    - by A&C Redaktion
    Oracle Partner haben Zugriff auf verschiedenste Tools, Ressourcen und Services, die die tägliche Arbeit erleichtern und einen signifikanten Wettbewerbsvorteil bieten. Für unsere neuen, und vielleicht auch manchen altgedienten Partner, hier ein kleiner Wegweiser zu den wichtigsten Angeboten. Welche Ressourcen kann ich mit welchem Level der Spezialisierung nutzen?Einen englischsprachigen Überblick über alle Angebote aus den Bereichen Enablement, Development, Marketing, Sales und Support finden Sie hier unter „OPN Benefits Table Details“. Wo kann ich mich über bestimmte Oracle Produkte informieren und weiterbilden?Die Knowledge Zones sind lösungsorientierte Webseiten für den Einstieg in die Spezialisierung. Sie finden dort detaillierte Informationen zu Entwicklung, Verkauf und Implementierung von Oracle Lösungen – aufgeschlüsselt nach den Themen Datenbank, Middleware, Anwendungen, Server- und Speichersysteme sowie nach Branchen. Je nach Interesse und Spezialisierung können Sie hier bestimmten Knowledge Zones beitreten. Wie können Kunden mich und meine Leistungen als Oracle Partner finden und Kontakt aufnehmen?Dafür gibt es den Solutions Catalog: Diese Plattform gehört zu den wichtigsten Tools, um Kunden an den für sie idealen Oracle Partner zu vermitteln. Jeder spezialisierte Partner weltweit hat im Solutions Catalog ein suchmaschinenoptimiertes Profil, das er über das OPN selbst pflegt und ausbaut. Kunden filtern das Angebot nach Region und gewünschter Lösung und nehmen direkt Kontakt auf. Besuche auf der Webseite werden evaluiert und können zur individuellen Lead-Generierung genutzt werden. Wie kann ich meine Oracle Spezialisierung nutzen, um neue Kunden zu gewinnen?Im Marketing-Bereich des OPN-Portals finden Sie diverse Möglichkeiten der Werbung und Demand Generation. Einige Beispiele: Die deutschsprachigen Marketing Kits bieten Werbematerial, Templates, Schulungsmaterial und Anleitungen für das Marketing der Partner. Sie helfen dabei, eigene Kampagnen, z.B. Mailings oder Telemarketing zu einzelnen Themen, wie etwa aktuell Exadata, durchzuführen und die Demand Generation voranzutreiben. Mit den Partner Logos können Sie auf Ihrer eigenen Webseite damit werben, dass und wie intensiv Sie mit Oracle zusammenarbeiten. Es gibt Logos für jedes Partner Level sowie für jede einzelne Zertifizierung aus dem Oracle Universum. Der Partner Event Publishing Service hilft dabei, Ihre Veranstaltungen global und öffentlichkeitswirksam auf der Oracle Webseite zu präsentieren. So funktioniert's: Einfach das Excel-Formular downloaden, in deutsch oder englisch ausfüllen und mit Ihrem Logo an das Event Publishing Team senden. Ihre Event-Seite wird erstellt und ist auf dem Eventportal von Oracle suchbar. Sie erhalten für Ihre Prmotion den Link und schon haben sich einen neuen Kreis potenzieller Teilnehmer erschlossen.

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  • Wo finde ich was im OPN?

    - by A&C Redaktion
    Oracle Partner haben Zugriff auf verschiedenste Tools, Ressourcen und Services, die die tägliche Arbeit erleichtern und einen signifikanten Wettbewerbsvorteil bieten. Für unsere neuen, und vielleicht auch manchen altgedienten Partner, hier ein kleiner Wegweiser zu den wichtigsten Angeboten. Welche Ressourcen kann ich mit welchem Level der Spezialisierung nutzen?Einen englischsprachigen Überblick über alle Angebote aus den Bereichen Enablement, Development, Marketing, Sales und Support finden Sie hier unter „OPN Benefits Table Details“. Wo kann ich mich über bestimmte Oracle Produkte informieren und weiterbilden?Die Knowledge Zones sind lösungsorientierte Webseiten für den Einstieg in die Spezialisierung. Sie finden dort detaillierte Informationen zu Entwicklung, Verkauf und Implementierung von Oracle Lösungen – aufgeschlüsselt nach den Themen Datenbank, Middleware, Anwendungen, Server- und Speichersysteme sowie nach Branchen. Je nach Interesse und Spezialisierung können Sie hier bestimmten Knowledge Zones beitreten. Wie können Kunden mich und meine Leistungen als Oracle Partner finden und Kontakt aufnehmen?Dafür gibt es den Solutions Catalog: Diese Plattform gehört zu den wichtigsten Tools, um Kunden an den für sie idealen Oracle Partner zu vermitteln. Jeder spezialisierte Partner weltweit hat im Solutions Catalog ein suchmaschinenoptimiertes Profil, das er über das OPN selbst pflegt und ausbaut. Kunden filtern das Angebot nach Region und gewünschter Lösung und nehmen direkt Kontakt auf. Besuche auf der Webseite werden evaluiert und können zur individuellen Lead-Generierung genutzt werden. Wie kann ich meine Oracle Spezialisierung nutzen, um neue Kunden zu gewinnen?Im Marketing-Bereich des OPN-Portals finden Sie diverse Möglichkeiten der Werbung und Demand Generation. Einige Beispiele: Die deutschsprachigen Marketing Kits bieten Werbematerial, Templates, Schulungsmaterial und Anleitungen für das Marketing der Partner. Sie helfen dabei, eigene Kampagnen, z.B. Mailings oder Telemarketing zu einzelnen Themen, wie etwa aktuell Exadata, durchzuführen und die Demand Generation voranzutreiben. Mit den Partner Logos können Sie auf Ihrer eigenen Webseite damit werben, dass und wie intensiv Sie mit Oracle zusammenarbeiten. Es gibt Logos für jedes Partner Level sowie für jede einzelne Zertifizierung aus dem Oracle Universum. Der Partner Event Publishing Service hilft dabei, Ihre Veranstaltungen global und öffentlichkeitswirksam auf der Oracle Webseite zu präsentieren. So funktioniert's: Einfach das Excel-Formular downloaden, in deutsch oder englisch ausfüllen und mit Ihrem Logo an das Event Publishing Team senden. Ihre Event-Seite wird erstellt und ist auf dem Eventportal von Oracle suchbar. Sie erhalten für Ihre Prmotion den Link und schon haben sich einen neuen Kreis potenzieller Teilnehmer erschlossen.

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  • Find a Faster DNS Server with Namebench

    - by Mysticgeek
    One way to speed up your Internet browsing experience is using a faster DNS server. Today we take a look at Namebench, which will compare your current DNS server against others out there, and help you find a faster one. Namebench Download the file and run the executable (link below). Namebench starts up and will include the current DNS server you have configured on your system. In this example we’re behind a router and using the DNS server from the ISP. Include the global DNS providers and the best available regional DNS server, then start the Benchmark. The test starts to run and you’ll see the queries it’s running through. The benchmark takes about 5-10 minutes to complete. After it’s complete you’ll get a report of the results. Based on its findings, it will show you what DNS server is fastest for your system. It also displays different types of graphs so you can get a better feel for the different results. You can export the results to a .csv file as well so you can present the results in Excel. Conclusion This is a free project that is in continuing development, so results might not be perfect, and there may be more features added in the future. If you’re looking for a method to help find a faster DNS server for your system, Namebench is a cool free utility to help you out. If you’re looking for a public DNS server that is customizable and includes filters, you might want to check out our article on helping to protect your kids from questionable content using OpenDNS. You can also check out how to speed up your web browsing with Google Public DNS. Links Download NameBench for Windows, Mac, and Linux from Google Code Learn More About the Project on the Namebench Wiki Page Similar Articles Productive Geek Tips Open a Second Console Session on Ubuntu ServerShare Ubuntu Home Directories using SambaSetup OpenSSH Server on Ubuntu LinuxDisable the Annoying “This device can perform faster” Balloon Message in Windows 7Search For Rows With Special Characters in SQL Server TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 How to Add Exceptions to the Windows Firewall Office 2010 reviewed in depth by Ed Bott FoxClocks adds World Times in your Statusbar (Firefox) Have Fun Editing Photo Editing with Citrify Outlook Connector Upgrade Error Gadfly is a cool Twitter/Silverlight app

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  • SQL Developer Data Modeler v3.3 Early Adopter: Link Model Objects Across Designs

    - by thatjeffsmith
    The third post in our “What’s New in SQL Developer Data Modeler v3.3” series, SQL Developer Data Modeler now allows you to link objects across models. If you need to catch up on the earlier posts, here are the first two: New and Improved Search Collaborative Design via Excel Today’s post is a very simple and straightforward discussion on how to share objects across models and designs. In previous releases you could easily copy and paste objects between models and designs. Simply select your object, right-click and select ‘Copy’ Once copied, paste it into your other designs and then make changes as required. Once you paste the object, it is no longer associated with the source it was copied from. You are free to make any changes you want in the new location without affecting the source material. And it works the other way as well – make any changes to the source material and the new object is also unaffected. However. What if you want to LINK a model object instead of COPYING it? In version 3.3, you can now do this. Simply drag and drop the object instead of copy and pasting it. Select the object, in this case a relational model table, and drag it to your other model. It’s as simple as it sounds, here’s a little animated GIF to show you what I’m talking about. Drag and drop between models/designs to LINK an object Notes The ‘linked’ object cannot be modified from the destination space Updating the source object will propagate the changes forward to wherever it’s been linked You can drag a linked object to another design, so dragging from A - B and then from B - C will work Linked objects are annotated in the model with a ‘Chain’ bitmap, see below This object has been linked from another design/model and cannot be modified. A very simple feature, but I like the flexibility here. Copy and paste = new independent object. Drag and drop = linked object.

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