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  • EM12c Release 4: New Compliance features including DB STIG Standard

    - by DaveWolf
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Enterprise Manager’s compliance framework is a powerful and robust feature that provides users the ability to continuously validate their target configurations against a specified standard. Enterprise Manager’s compliance library is filled with a wide variety of standards based on Oracle’s recommendations, best practices and security guidelines. These standards can be easily associated to a target to generate a report showing its degree of conformance to that standard. ( To get an overview of  Database compliance management in Enterprise Manager see this screenwatch. ) Starting with release 12.1.0.4 of Enterprise Manager the compliance library will contain a new standard based on the US Defense Information Systems Agency (DISA) Security Technical Implementation Guide (STIG) for Oracle Database 11g. According to the DISA website, “The STIGs contain technical guidance to ‘lock down’ information systems/software that might otherwise be vulnerable to a malicious computer attack.” In essence, a STIG is a technical checklist an administrator can follow to secure a system or software. Many US government entities are required to follow these standards however many non-US government entities and commercial companies base their standards directly or partially on these STIGs. You can find more information about the Oracle Database and other STIGs on the DISA website. The Oracle Database 11g STIG consists of two categories of checks, installation and instance. Installation checks focus primarily on the security of the Oracle Home while the instance checks focus on the configuration of the running database instance itself. If you view the STIG compliance standard in Enterprise Manager, you will see the rules organized into folders corresponding to these categories. Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} The rule names contain a rule ID ( DG0020 for example ) which directly map to the check name in the STIG checklist along with a helpful brief description. The actual description field contains the text from the STIG documentation to aid in understanding the purpose of the check. All of the rules have also been documented in the Oracle Database Compliance Standards reference documentation. In order to use this standard both the OMS and agent must be at version 12.1.0.4 as it takes advantage of several features new in this release including: Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Agent-Side Compliance Rules Manual Compliance Rules Violation Suppression Additional BI Publisher Compliance Reports /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Agent-Side Compliance Rules Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Agent-side compliance rules are essentially the result of a tighter integration between Configuration Extensions and Compliance Rules. If you ever created customer compliance content in past versions of Enterprise Manager, you likely used Configuration Extensions to collect additional information into the EM repository so it could be used in a Repository compliance rule. This process although powerful, could be confusing to correctly model the SQL in the rule creation wizard. With agent-side rules, the user only needs to choose the Configuration Extension/Alias combination and that’s it. Enterprise Manager will do the rest for you. This tighter integration also means their lifecycle is managed together. When you associate an agent-side compliance standard to a target, the required Configuration Extensions will be deployed automatically for you. The opposite is also true, when you unassociated the compliance standard, the Configuration Extensions will also be undeployed. The Oracle Database STIG compliance standard is implemented as an agent-side standard which is why you simply need to associate the standard to your database targets without previously deploying the associated Configuration Extensions. You can learn more about using Agent-Side compliance rules in the screenwatch Using Agent-Side Compliance Rules on Enterprise Manager's Lifecycle Management page on OTN. /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Manual Compliance Rules Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} There are many checks in the Oracle Database STIG as well as other common standards which simply cannot be automated. This could be something as simple as “Ensure the datacenter entrance is secured.” or complex as Oracle Database STIG Rule DG0186 – “The database should not be directly accessible from public or unauthorized networks”. These checks require a human to perform and attest to its successful completion. Enterprise Manager now supports these types of checks in Manual rules. When first associated to a target, each manual rule will generate a single violation. These violations must be manually cleared by a user who is in essence attesting to its successful completion. The user is able to permanently clear the violation or give a future date on which the violation will be regenerated. Setting a future date is useful when policy dictates a periodic re-validation of conformance wherein the user will have to reperform the check. The optional reason field gives the user an opportunity to provide details of the check results. Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Violation Suppression There are situations that require the need to permanently or temporarily suppress a legitimate violation or finding. These include approved exceptions and grace periods. Enterprise Manager now supports the ability to temporarily or permanently suppress a violation. Unlike when you clear a manual rule violation, suppression simply removes the violation from the compliance results UI and in turn its negative impact on the score. The violation still remains in the EM repository and can be accounted for in compliance reports. Temporarily suppressing a violation can give users a grace period in which to address an issue. If the issue is not addressed within the specified period, the violation will reappear in the results automatically. Again the user may enter a reason for the suppression which will be permanently saved with the event along with the suppressing user ID. Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Additional BI Publisher compliance reports As I am sure you have learned by now, BI Publisher now ships and is integrated with Enterprise Manager 12.1.0.4. This means users can take full advantage of the powerful reporting engine by using the Oracle provided reports or building their own. There are many new compliance related reports available in 12.1.0.4 covering all aspects including the association status, library as well as summary and detailed results reports.  10 New Compliance Reports Compliance Summary Report Example showing STIG results Normal 0 false false false EN-US 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:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; 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;} Conclusion Together with the Oracle Database 11g STIG compliance standard these features provide a complete solution for easily auditing and reporting the security posture of your Oracle Databases against this well known benchmark. You can view an overview presentation and demo in the screenwatch Using the STIG Compliance Standard on Enterprise Manager's Lifecycle Management page on OTN. Additional EM12c Compliance Management Information Compliance Management - Overview ( Presentation ) Compliance Management - Custom Compliance on Default Data (How To) Compliance Management - Custom Compliance using SQL Configuration Extension (How To) Compliance Management - Customer Compliance using Command Configuration Extension (How To)

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  • SQL SERVER – Solution – Puzzle – SELECT * vs SELECT COUNT(*)

    - by pinaldave
    Earlier I have published Puzzle Why SELECT * throws an error but SELECT COUNT(*) does not. This question have received many interesting comments. Let us go over few of the answers, which are valid. Before I start the same, let me acknowledge Rob Farley who has not only answered correctly very first but also started interesting conversation in the same thread. The usual question will be what is the right answer. I would like to point to official Microsoft Connect Items which discusses the same. RGarvao https://connect.microsoft.com/SQLServer/feedback/details/671475/select-test-where-exists-select tiberiu utan http://connect.microsoft.com/SQLServer/feedback/details/338532/count-returns-a-value-1 Rob Farley count(*) is about counting rows, not a particular column. It doesn’t even look to see what columns are available, it’ll just count the rows, which in the case of a missing FROM clause, is 1. “select *” is designed to return columns, and therefore barfs if there are none available. Even more odd is this one: select ‘blah’ where exists (select *) You might be surprised at the results… Koushik The engine performs a “Constant scan” for Count(*) where as in the case of “SELECT *” the engine is trying to perform either Index/Cluster/Table scans. amikolaj When you query ‘select * from sometable’, SQL replaces * with the current schema of that table. With out a source for the schema, SQL throws an error. so when you query ‘select count(*)’, you are counting the one row. * is just a constant to SQL here. Check out the execution plan. Like the description states – ‘Scan an internal table of constants.’ You could do ‘select COUNT(‘my name is adam and this is my answer’)’ and get the same answer. Netra Acharya SELECT * Here, * represents all columns from a table. So it always looks for a table (As we know, there should be FROM clause before specifying table name). So, it throws an error whenever this condition is not satisfied. SELECT COUNT(*) Here, COUNT is a Function. So it is not mandetory to provide a table. Check it out this: DECLARE @cnt INT SET @cnt = COUNT(*) SELECT @cnt SET @cnt = COUNT(‘x’) SELECT @cnt Naveen Select 1 / Select ‘*’ will return 1/* as expected. Select Count(1)/Count(*) will return the count of result set of select statement. Count(1)/Count(*) will have one 1/* for each row in the result set of select statement. Select 1 or Select ‘*’ result set will contain only 1 result. so count is 1. Where as “Select *” is a sysntax which expects the table or equauivalent to table (table functions, etc..). It is like compilation error for that query. Ramesh Hi Friends, Count is an aggregate function and it expects the rows (list of records) for a specified single column or whole rows for *. So, when we use ‘select *’ it definitely give and error because ‘*’ is meant to have all the fields but there is not any table and without table it can only raise an error. So, in the case of ‘Select Count(*)’, there will be an error as a record in the count function so you will get the result as ’1'. Try using : Select COUNT(‘RAMESH’) and think there is an error ‘Must specify table to select from.’ in place of ‘RAMESH’ Pinal : If i am wrong then please clarify this. Sachin Nandanwar Any aggregate function expects a constant or a column name as an expression. DO NOT be confused with * in an aggregate function.The aggregate function does not treat it as a column name or a set of column names but a constant value, as * is a key word in SQL. You can replace any value instead of * for the COUNT function.Ex Select COUNT(5) will result as 1. The error resulting from select * is obvious it expects an object where it can extract the result set. I sincerely thank you all for wonderful conversation, I personally enjoyed it and I am sure all of you have the same feeling. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: CodeProject, Pinal Dave, PostADay, Readers Contribution, Readers Question, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Seeking on a Heap, and Two Useful DMVs

    - by Paul White
    So far in this mini-series on seeks and scans, we have seen that a simple ‘seek’ operation can be much more complex than it first appears.  A seek can contain one or more seek predicates – each of which can either identify at most one row in a unique index (a singleton lookup) or a range of values (a range scan).  When looking at a query plan, we will often need to look at the details of the seek operator in the Properties window to see how many operations it is performing, and what type of operation each one is.  As you saw in the first post in this series, the number of hidden seeking operations can have an appreciable impact on performance. Measuring Seeks and Scans I mentioned in my last post that there is no way to tell from a graphical query plan whether you are seeing a singleton lookup or a range scan.  You can work it out – if you happen to know that the index is defined as unique and the seek predicate is an equality comparison, but there’s no separate property that says ‘singleton lookup’ or ‘range scan’.  This is a shame, and if I had my way, the query plan would show different icons for range scans and singleton lookups – perhaps also indicating whether the operation was one or more of those operations underneath the covers. In light of all that, you might be wondering if there is another way to measure how many seeks of either type are occurring in your system, or for a particular query.  As is often the case, the answer is yes – we can use a couple of dynamic management views (DMVs): sys.dm_db_index_usage_stats and sys.dm_db_index_operational_stats. Index Usage Stats The index usage stats DMV contains counts of index operations from the perspective of the Query Executor (QE) – the SQL Server component that is responsible for executing the query plan.  It has three columns that are of particular interest to us: user_seeks – the number of times an Index Seek operator appears in an executed plan user_scans – the number of times a Table Scan or Index Scan operator appears in an executed plan user_lookups – the number of times an RID or Key Lookup operator appears in an executed plan An operator is counted once per execution (generating an estimated plan does not affect the totals), so an Index Seek that executes 10,000 times in a single plan execution adds 1 to the count of user seeks.  Even less intuitively, an operator is also counted once per execution even if it is not executed at all.  I will show you a demonstration of each of these things later in this post. Index Operational Stats The index operational stats DMV contains counts of index and table operations from the perspective of the Storage Engine (SE).  It contains a wealth of interesting information, but the two columns of interest to us right now are: range_scan_count – the number of range scans (including unrestricted full scans) on a heap or index structure singleton_lookup_count – the number of singleton lookups in a heap or index structure This DMV counts each SE operation, so 10,000 singleton lookups will add 10,000 to the singleton lookup count column, and a table scan that is executed 5 times will add 5 to the range scan count. The Test Rig To explore the behaviour of seeks and scans in detail, we will need to create a test environment.  The scripts presented here are best run on SQL Server 2008 Developer Edition, but the majority of the tests will work just fine on SQL Server 2005.  A couple of tests use partitioning, but these will be skipped if you are not running an Enterprise-equivalent SKU.  Ok, first up we need a database: USE master; GO IF DB_ID('ScansAndSeeks') IS NOT NULL DROP DATABASE ScansAndSeeks; GO CREATE DATABASE ScansAndSeeks; GO USE ScansAndSeeks; GO ALTER DATABASE ScansAndSeeks SET ALLOW_SNAPSHOT_ISOLATION OFF ; ALTER DATABASE ScansAndSeeks SET AUTO_CLOSE OFF, AUTO_SHRINK OFF, AUTO_CREATE_STATISTICS OFF, AUTO_UPDATE_STATISTICS OFF, PARAMETERIZATION SIMPLE, READ_COMMITTED_SNAPSHOT OFF, RESTRICTED_USER ; Notice that several database options are set in particular ways to ensure we get meaningful and reproducible results from the DMVs.  In particular, the options to auto-create and update statistics are disabled.  There are also three stored procedures, the first of which creates a test table (which may or may not be partitioned).  The table is pretty much the same one we used yesterday: The table has 100 rows, and both the key_col and data columns contain the same values – the integers from 1 to 100 inclusive.  The table is a heap, with a non-clustered primary key on key_col, and a non-clustered non-unique index on the data column.  The only reason I have used a heap here, rather than a clustered table, is so I can demonstrate a seek on a heap later on.  The table has an extra column (not shown because I am too lazy to update the diagram from yesterday) called padding – a CHAR(100) column that just contains 100 spaces in every row.  It’s just there to discourage SQL Server from choosing table scan over an index + RID lookup in one of the tests. The first stored procedure is called ResetTest: CREATE PROCEDURE dbo.ResetTest @Partitioned BIT = 'false' AS BEGIN SET NOCOUNT ON ; IF OBJECT_ID(N'dbo.Example', N'U') IS NOT NULL BEGIN DROP TABLE dbo.Example; END ; -- Test table is a heap -- Non-clustered primary key on 'key_col' CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, padding CHAR(100) NOT NULL DEFAULT SPACE(100), CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col) ) ; IF @Partitioned = 'true' BEGIN -- Enterprise, Trial, or Developer -- required for partitioning tests IF SERVERPROPERTY('EngineEdition') = 3 BEGIN EXECUTE (' DROP TABLE dbo.Example ; IF EXISTS ( SELECT 1 FROM sys.partition_schemes WHERE name = N''PS'' ) DROP PARTITION SCHEME PS ; IF EXISTS ( SELECT 1 FROM sys.partition_functions WHERE name = N''PF'' ) DROP PARTITION FUNCTION PF ; CREATE PARTITION FUNCTION PF (INTEGER) AS RANGE RIGHT FOR VALUES (20, 40, 60, 80, 100) ; CREATE PARTITION SCHEME PS AS PARTITION PF ALL TO ([PRIMARY]) ; CREATE TABLE dbo.Example ( key_col INTEGER NOT NULL, data INTEGER NOT NULL, padding CHAR(100) NOT NULL DEFAULT SPACE(100), CONSTRAINT [PK dbo.Example key_col] PRIMARY KEY NONCLUSTERED (key_col) ) ON PS (key_col); '); END ELSE BEGIN RAISERROR('Invalid SKU for partition test', 16, 1); RETURN; END; END ; -- Non-unique non-clustered index on the 'data' column CREATE NONCLUSTERED INDEX [IX dbo.Example data] ON dbo.Example (data) ; -- Add 100 rows INSERT dbo.Example WITH (TABLOCKX) ( key_col, data ) SELECT key_col = V.number, data = V.number FROM master.dbo.spt_values AS V WHERE V.[type] = N'P' AND V.number BETWEEN 1 AND 100 ; END; GO The second stored procedure, ShowStats, displays information from the Index Usage Stats and Index Operational Stats DMVs: CREATE PROCEDURE dbo.ShowStats @Partitioned BIT = 'false' AS BEGIN -- Index Usage Stats DMV (QE) SELECT index_name = ISNULL(I.name, I.type_desc), scans = IUS.user_scans, seeks = IUS.user_seeks, lookups = IUS.user_lookups FROM sys.dm_db_index_usage_stats AS IUS JOIN sys.indexes AS I ON I.object_id = IUS.object_id AND I.index_id = IUS.index_id WHERE IUS.database_id = DB_ID(N'ScansAndSeeks') AND IUS.object_id = OBJECT_ID(N'dbo.Example', N'U') ORDER BY I.index_id ; -- Index Operational Stats DMV (SE) IF @Partitioned = 'true' SELECT index_name = ISNULL(I.name, I.type_desc), partitions = COUNT(IOS.partition_number), range_scans = SUM(IOS.range_scan_count), single_lookups = SUM(IOS.singleton_lookup_count) FROM sys.dm_db_index_operational_stats ( DB_ID(N'ScansAndSeeks'), OBJECT_ID(N'dbo.Example', N'U'), NULL, NULL ) AS IOS JOIN sys.indexes AS I ON I.object_id = IOS.object_id AND I.index_id = IOS.index_id GROUP BY I.index_id, -- Key I.name, I.type_desc ORDER BY I.index_id; ELSE SELECT index_name = ISNULL(I.name, I.type_desc), range_scans = SUM(IOS.range_scan_count), single_lookups = SUM(IOS.singleton_lookup_count) FROM sys.dm_db_index_operational_stats ( DB_ID(N'ScansAndSeeks'), OBJECT_ID(N'dbo.Example', N'U'), NULL, NULL ) AS IOS JOIN sys.indexes AS I ON I.object_id = IOS.object_id AND I.index_id = IOS.index_id GROUP BY I.index_id, -- Key I.name, I.type_desc ORDER BY I.index_id; END; The final stored procedure, RunTest, executes a query written against the example table: CREATE PROCEDURE dbo.RunTest @SQL VARCHAR(8000), @Partitioned BIT = 'false' AS BEGIN -- No execution plan yet SET STATISTICS XML OFF ; -- Reset the test environment EXECUTE dbo.ResetTest @Partitioned ; -- Previous call will throw an error if a partitioned -- test was requested, but SKU does not support it IF @@ERROR = 0 BEGIN -- IO statistics and plan on SET STATISTICS XML, IO ON ; -- Test statement EXECUTE (@SQL) ; -- Plan and IO statistics off SET STATISTICS XML, IO OFF ; EXECUTE dbo.ShowStats @Partitioned; END; END; The Tests The first test is a simple scan of the heap table: EXECUTE dbo.RunTest @SQL = 'SELECT * FROM Example'; The top result set comes from the Index Usage Stats DMV, so it is the Query Executor’s (QE) view.  The lower result is from Index Operational Stats, which shows statistics derived from the actions taken by the Storage Engine (SE).  We see that QE performed 1 scan operation on the heap, and SE performed a single range scan.  Let’s try a single-value equality seek on a unique index next: EXECUTE dbo.RunTest @SQL = 'SELECT key_col FROM Example WHERE key_col = 32'; This time we see a single seek on the non-clustered primary key from QE, and one singleton lookup on the same index by the SE.  Now for a single-value seek on the non-unique non-clustered index: EXECUTE dbo.RunTest @SQL = 'SELECT data FROM Example WHERE data = 32'; QE shows a single seek on the non-clustered non-unique index, but SE shows a single range scan on that index – not the singleton lookup we saw in the previous test.  That makes sense because we know that only a single-value seek into a unique index is a singleton seek.  A single-value seek into a non-unique index might retrieve any number of rows, if you think about it.  The next query is equivalent to the IN list example seen in the first post in this series, but it is written using OR (just for variety, you understand): EXECUTE dbo.RunTest @SQL = 'SELECT data FROM Example WHERE data = 32 OR data = 33'; The plan looks the same, and there’s no difference in the stats recorded by QE, but the SE shows two range scans.  Again, these are range scans because we are looking for two values in the data column, which is covered by a non-unique index.  I’ve added a snippet from the Properties window to show that the query plan does show two seek predicates, not just one.  Now let’s rewrite the query using BETWEEN: EXECUTE dbo.RunTest @SQL = 'SELECT data FROM Example WHERE data BETWEEN 32 AND 33'; Notice the seek operator only has one predicate now – it’s just a single range scan from 32 to 33 in the index – as the SE output shows.  For the next test, we will look up four values in the key_col column: EXECUTE dbo.RunTest @SQL = 'SELECT key_col FROM Example WHERE key_col IN (2,4,6,8)'; Just a single seek on the PK from the Query Executor, but four singleton lookups reported by the Storage Engine – and four seek predicates in the Properties window.  On to a more complex example: EXECUTE dbo.RunTest @SQL = 'SELECT * FROM Example WITH (INDEX([PK dbo.Example key_col])) WHERE key_col BETWEEN 1 AND 8'; This time we are forcing use of the non-clustered primary key to return eight rows.  The index is not covering for this query, so the query plan includes an RID lookup into the heap to fetch the data and padding columns.  The QE reports a seek on the PK and a lookup on the heap.  The SE reports a single range scan on the PK (to find key_col values between 1 and 8), and eight singleton lookups on the heap.  Remember that a bookmark lookup (RID or Key) is a seek to a single value in a ‘unique index’ – it finds a row in the heap or cluster from a unique RID or clustering key – so that’s why lookups are always singleton lookups, not range scans. Our next example shows what happens when a query plan operator is not executed at all: EXECUTE dbo.RunTest @SQL = 'SELECT key_col FROM Example WHERE key_col = 8 AND @@TRANCOUNT < 0'; The Filter has a start-up predicate which is always false (if your @@TRANCOUNT is less than zero, call CSS immediately).  The index seek is never executed, but QE still records a single seek against the PK because the operator appears once in an executed plan.  The SE output shows no activity at all.  This next example is 2008 and above only, I’m afraid: EXECUTE dbo.RunTest @SQL = 'SELECT * FROM Example WHERE key_col BETWEEN 1 AND 30', @Partitioned = 'true'; This is the first example to use a partitioned table.  QE reports a single seek on the heap (yes – a seek on a heap), and the SE reports two range scans on the heap.  SQL Server knows (from the partitioning definition) that it only needs to look at partitions 1 and 2 to find all the rows where key_col is between 1 and 30 – the engine seeks to find the two partitions, and performs a range scan seek on each partition. The final example for today is another seek on a heap – try to work out the output of the query before running it! EXECUTE dbo.RunTest @SQL = 'SELECT TOP (2) WITH TIES * FROM Example WHERE key_col BETWEEN 1 AND 50 ORDER BY $PARTITION.PF(key_col) DESC', @Partitioned = 'true'; Notice the lack of an explicit Sort operator in the query plan to enforce the ORDER BY clause, and the backward range scan. © 2011 Paul White email: [email protected] twitter: @SQL_Kiwi

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  • How to create array with unique sprites? in cocos2d iphone

    - by prakash s
    I write the code like this. This displays only one sprite (red colour bubble) with number of times and moving down, but actually I want to display different sprites (different colour bubble) every time and moving down. I also add no of .png images in resource folder of my project. Here I used only 3.png, but I need to display all *.png images (different colour bubbles) in my project but I don't know how to get this. Please help me Thank you. Here is the code: -(void)addTarget { CCSprite *target = [CCSprite spriteWithFile:@"3.png" rect:CGRectMake(0, 0, 256, 256)]; CGSize winSize = [[CCDirector sharedDirector] winSize]; int minY = target.contentSize.height/2; int maxY = winSize.height - target.contentSize.height/2; int rangeY = maxY - minY; int actualY = (arc4random() % rangeY) + minY; // Create the target slightly off-screen along the right edge, // and along a random position along the Y axis as calculated above target.position = ccp(winSize.width + (target.contentSize.width/2), actualY); [self addChild:target]; // Determine speed of the target int minDuration = 4.0; int maxDuration = 12.0; int rangeDuration = maxDuration - minDuration; int actualDuration = (arc4random() % rangeDuration) + minDuration; // Create the actions id actionMove = [CCMoveTo actionWithDuration:actualDuration position:ccp(-target.contentSize.width/2,actualY)]; id actionMoveDone = [CCCallFuncN actionWithTarget:self selector:@selector(spriteMoveFinished:)]; [target runAction:[CCSequence actions:actionMove, actionMoveDone, nil]]; // Add to targets array target.tag = 2; [_targets addObject:target]; } -(void)gameLogic:(ccTime)dt { [self addTarget]; } -(id) init { if( (self=[super initWithColor:ccc4(255,255,255,255)] )) { // Enable touch events self.isTouchEnabled = YES; // Initialize arrays _targets = [[NSMutableArray alloc] init]; _projectiles = [[NSMutableArray alloc] init]; // Get the dimensions of the window for calculation purposes CGSize winSize = [[CCDirector sharedDirector] winSize]; [self schedule:@selector(gameLogic:) interval:1.0]; [self schedule:@selector(update:)]; } return self; } - (void)update:(ccTime)dt { NSMutableArray *projectilesToDelete = [[NSMutableArray alloc] init]; for (CCSprite *projectile in _projectiles) { CGRect projectileRect = CGRectMake(projectile.position.x - (projectile.contentSize.width/2), projectile.position.y - (projectile.contentSize.height/2), projectile.contentSize.width, projectile.contentSize.height); NSMutableArray *targetsToDelete = [[NSMutableArray alloc] init]; for (CCSprite *target in _targets) { CGRect targetRect = CGRectMake(target.position.x - (target.contentSize.width/2), target.position.y - (target.contentSize.height/2), target.contentSize.width, target.contentSize.height); if (CGRectIntersectsRect(projectileRect, targetRect)) { [targetsToDelete addObject:target]; } } for (CCSprite *target in targetsToDelete) { [_targets removeObject:target]; [self removeChild:target cleanup:YES]; _projectilesDestroyed++; if (_projectilesDestroyed > 30) { //GameOverScene *gameOverScene = [GameOverScene node]; // [gameOverScene.layer.label setString:@"You Win!"]; // [[CCDirector sharedDirector] replaceScene:gameOverScene]; } } if (targetsToDelete.count > 0) { [projectilesToDelete addObject:projectile]; } [targetsToDelete release]; } for (CCSprite *projectile in projectilesToDelete) { [_projectiles removeObject:projectile]; [self removeChild:projectile cleanup:YES]; } [projectilesToDelete release]; }

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  • How to Load Oracle Tables From Hadoop Tutorial (Part 5 - Leveraging Parallelism in OSCH)

    - by Bob Hanckel
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Using OSCH: Beyond Hello World In the previous post we discussed a “Hello World” example for OSCH focusing on the mechanics of getting a toy end-to-end example working. In this post we are going to talk about how to make it work for big data loads. We will explain how to optimize an OSCH external table for load, paying particular attention to Oracle’s DOP (degree of parallelism), the number of external table location files we use, and the number of HDFS files that make up the payload. We will provide some rules that serve as best practices when using OSCH. The assumption is that you have read the previous post and have some end to end OSCH external tables working and now you want to ramp up the size of the loads. Using OSCH External Tables for Access and Loading OSCH external tables are no different from any other Oracle external tables.  They can be used to access HDFS content using Oracle SQL: SELECT * FROM my_hdfs_external_table; or use the same SQL access to load a table in Oracle. INSERT INTO my_oracle_table SELECT * FROM my_hdfs_external_table; To speed up the load time, you will want to control the degree of parallelism (i.e. DOP) and add two SQL hints. ALTER SESSION FORCE PARALLEL DML PARALLEL  8; ALTER SESSION FORCE PARALLEL QUERY PARALLEL 8; INSERT /*+ append pq_distribute(my_oracle_table, none) */ INTO my_oracle_table SELECT * FROM my_hdfs_external_table; There are various ways of either hinting at what level of DOP you want to use.  The ALTER SESSION statements above force the issue assuming you (the user of the session) are allowed to assert the DOP (more on that in the next section).  Alternatively you could embed additional parallel hints directly into the INSERT and SELECT clause respectively. /*+ parallel(my_oracle_table,8) *//*+ parallel(my_hdfs_external_table,8) */ Note that the "append" hint lets you load a target table by reserving space above a given "high watermark" in storage and uses Direct Path load.  In other doesn't try to fill blocks that are already allocated and partially filled. It uses unallocated blocks.  It is an optimized way of loading a table without incurring the typical resource overhead associated with run-of-the-mill inserts.  The "pq_distribute" hint in this context unifies the INSERT and SELECT operators to make data flow during a load more efficient. Finally your target Oracle table should be defined with "NOLOGGING" and "PARALLEL" attributes.   The combination of the "NOLOGGING" and use of the "append" hint disables REDO logging, and its overhead.  The "PARALLEL" clause tells Oracle to try to use parallel execution when operating on the target table. Determine Your DOP It might feel natural to build your datasets in Hadoop, then afterwards figure out how to tune the OSCH external table definition, but you should start backwards. You should focus on Oracle database, specifically the DOP you want to use when loading (or accessing) HDFS content using external tables. The DOP in Oracle controls how many PQ slaves are launched in parallel when executing an external table. Typically the DOP is something you want to Oracle to control transparently, but for loading content from Hadoop with OSCH, it's something that you will want to control. Oracle computes the maximum DOP that can be used by an Oracle user. The maximum value that can be assigned is an integer value typically equal to the number of CPUs on your Oracle instances, times the number of cores per CPU, times the number of Oracle instances. For example, suppose you have a RAC environment with 2 Oracle instances. And suppose that each system has 2 CPUs with 32 cores. The maximum DOP would be 128 (i.e. 2*2*32). In point of fact if you are running on a production system, the maximum DOP you are allowed to use will be restricted by the Oracle DBA. This is because using a system maximum DOP can subsume all system resources on Oracle and starve anything else that is executing. Obviously on a production system where resources need to be shared 24x7, this can’t be allowed to happen. The use cases for being able to run OSCH with a maximum DOP are when you have exclusive access to all the resources on an Oracle system. This can be in situations when your are first seeding tables in a new Oracle database, or there is a time where normal activity in the production database can be safely taken off-line for a few hours to free up resources for a big incremental load. Using OSCH on high end machines (specifically Oracle Exadata and Oracle BDA cabled with Infiniband), this mode of operation can load up to 15TB per hour. The bottom line is that you should first figure out what DOP you will be allowed to run with by talking to the DBAs who manage the production system. You then use that number to derive the number of location files, and (optionally) the number of HDFS data files that you want to generate, assuming that is flexible. Rule 1: Find out the maximum DOP you will be allowed to use with OSCH on the target Oracle system Determining the Number of Location Files Let’s assume that the DBA told you that your maximum DOP was 8. You want the number of location files in your external table to be big enough to utilize all 8 PQ slaves, and you want them to represent equally balanced workloads. Remember location files in OSCH are metadata lists of HDFS files and are created using OSCH’s External Table tool. They also represent the workload size given to an individual Oracle PQ slave (i.e. a PQ slave is given one location file to process at a time, and only it will process the contents of the location file.) Rule 2: The size of the workload of a single location file (and the PQ slave that processes it) is the sum of the content size of the HDFS files it lists For example, if a location file lists 5 HDFS files which are each 100GB in size, the workload size for that location file is 500GB. The number of location files that you generate is something you control by providing a number as input to OSCH’s External Table tool. Rule 3: The number of location files chosen should be a small multiple of the DOP Each location file represents one workload for one PQ slave. So the goal is to keep all slaves busy and try to give them equivalent workloads. Obviously if you run with a DOP of 8 but have 5 location files, only five PQ slaves will have something to do and the other three will have nothing to do and will quietly exit. If you run with 9 location files, then the PQ slaves will pick up the first 8 location files, and assuming they have equal work loads, will finish up about the same time. But the first PQ slave to finish its job will then be rescheduled to process the ninth location file, potentially doubling the end to end processing time. So for this DOP using 8, 16, or 32 location files would be a good idea. Determining the Number of HDFS Files Let’s start with the next rule and then explain it: Rule 4: The number of HDFS files should try to be a multiple of the number of location files and try to be relatively the same size In our running example, the DOP is 8. This means that the number of location files should be a small multiple of 8. Remember that each location file represents a list of unique HDFS files to load, and that the sum of the files listed in each location file is a workload for one Oracle PQ slave. The OSCH External Table tool will look in an HDFS directory for a set of HDFS files to load.  It will generate N number of location files (where N is the value you gave to the tool). It will then try to divvy up the HDFS files and do its best to make sure the workload across location files is as balanced as possible. (The tool uses a greedy algorithm that grabs the biggest HDFS file and delegates it to a particular location file. It then looks for the next biggest file and puts in some other location file, and so on). The tools ability to balance is reduced if HDFS file sizes are grossly out of balance or are too few. For example suppose my DOP is 8 and the number of location files is 8. Suppose I have only 8 HDFS files, where one file is 900GB and the others are 100GB. When the tool tries to balance the load it will be forced to put the singleton 900GB into one location file, and put each of the 100GB files in the 7 remaining location files. The load balance skew is 9 to 1. One PQ slave will be working overtime, while the slacker PQ slaves are off enjoying happy hour. If however the total payload (1600 GB) were broken up into smaller HDFS files, the OSCH External Table tool would have an easier time generating a list where each workload for each location file is relatively the same.  Applying Rule 4 above to our DOP of 8, we could divide the workload into160 files that were approximately 10 GB in size.  For this scenario the OSCH External Table tool would populate each location file with 20 HDFS file references, and all location files would have similar workloads (approximately 200GB per location file.) As a rule, when the OSCH External Table tool has to deal with more and smaller files it will be able to create more balanced loads. How small should HDFS files get? Not so small that the HDFS open and close file overhead starts having a substantial impact. For our performance test system (Exadata/BDA with Infiniband), I compared three OSCH loads of 1 TiB. One load had 128 HDFS files living in 64 location files where each HDFS file was about 8GB. I then did the same load with 12800 files where each HDFS file was about 80MB size. The end to end load time was virtually the same. However when I got ridiculously small (i.e. 128000 files at about 8MB per file), it started to make an impact and slow down the load time. What happens if you break rules 3 or 4 above? Nothing draconian, everything will still function. You just won’t be taking full advantage of the generous DOP that was allocated to you by your friendly DBA. The key point of the rules articulated above is this: if you know that HDFS content is ultimately going to be loaded into Oracle using OSCH, it makes sense to chop them up into the right number of files roughly the same size, derived from the DOP that you expect to use for loading. Next Steps So far we have talked about OLH and OSCH as alternative models for loading. That’s not quite the whole story. They can be used together in a way that provides for more efficient OSCH loads and allows one to be more flexible about scheduling on a Hadoop cluster and an Oracle Database to perform load operations. The next lesson will talk about Oracle Data Pump files generated by OLH, and loaded using OSCH. It will also outline the pros and cons of using various load methods.  This will be followed up with a final tutorial lesson focusing on how to optimize OLH and OSCH for use on Oracle's engineered systems: specifically Exadata and the BDA. /* 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:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; 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;}

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  • mysql: Cannot load from mysql.proc. The table is probably corrupted

    - by Alex
    Mysql was started: /usr/bin/mysqld_safe --datadir=/srv/mysql/myDB --log-error=/srv/mysql/logs/mysqld-myDB.log --pid-file=/srv/mysql/pids/mysqld-myDB.pid --user=mysql --socket=/srv/mysql/sockets/mysql-myDB.sock --port=3700 but when I'm trying to do something: ERROR 1548 (HY000) at line 1: Cannot load from mysql.proc. The table is probably corrupted How to fix it? $ mysql -V mysql Ver 14.14 Distrib 5.1.58, for debian-linux-gnu (x86_64) using readline 6.2 $ lsb_release -a Distributor ID: Ubuntu Description: Ubuntu 11.10 Release: 11.10 Codename: oneiric $ sudo mysql_upgrade -uroot -p<password> --force Looking for 'mysql' as: mysql Looking for 'mysqlcheck' as: mysqlcheck Running 'mysqlcheck' with connection arguments: '--port=3306' '--socket=/var/run/mysqld/mysqld.sock' Running 'mysqlcheck' with connection arguments: '--port=3306' '--socket=/var/run/mysqld/mysqld.sock' mysql.columns_priv OK mysql.db OK mysql.event OK mysql.func OK mysql.general_log Error : You can't use locks with log tables. status : OK mysql.help_category OK mysql.help_keyword OK mysql.help_relation OK mysql.help_topic OK mysql.host OK mysql.ndb_binlog_index OK mysql.plugin OK mysql.proc OK mysql.procs_priv OK mysql.servers OK mysql.slow_log Error : You can't use locks with log tables. status : OK mysql.tables_priv OK mysql.time_zone OK mysql.time_zone_leap_second OK mysql.time_zone_name OK mysql.time_zone_transition OK mysql.time_zone_transition_type OK mysql.user OK Running 'mysql_fix_privilege_tables'... OK $ mysqlcheck --port=3700 --socket=/srv/mysql/sockets/mysql-my-env.sock -A -udata_owner -pdata_owner <all tables> OK UPD1: for example I'm trying to remove procedure: mysql> DROP PROCEDURE IF EXISTS mysql.myproc; ERROR 1548 (HY000): Cannot load from mysql.proc. The table is probably corrupted mysql> UPD2: mysql> REPAIR TABLE mysql.proc; +------------+--------+----------+-----------------------------------------------------------------------------------------+ | Table | Op | Msg_type | Msg_text | +------------+--------+----------+-----------------------------------------------------------------------------------------+ | mysql.proc | repair | error | 1 when fixing table | | mysql.proc | repair | Error | Can't change permissions of the file '/srv/mysql/myDB/mysql/proc.MYD' (Errcode: 1) | | mysql.proc | repair | status | Operation failed | +------------+--------+----------+-----------------------------------------------------------------------------------------+ 3 rows in set (0.04 sec) This is strange, because: $ ls -l /srv/mysql/myDB/mysql/proc.MYD -rwxrwxrwx 1 mysql root 3983252 2012-02-03 22:51 /srv/mysql/myDB/mysql/proc.MYD UPD3: $ ls -la /srv/mysql/myDB/mysql total 8930 drwxrwxrwx 2 mysql root 2480 2012-02-21 13:13 . drwxrwxrwx 13 mysql root 504 2012-02-21 19:01 .. -rwxrwxrwx 1 mysql root 8820 2012-02-20 15:50 columns_priv.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 columns_priv.MYD -rwxrwxrwx 1 mysql root 4096 2012-02-20 15:50 columns_priv.MYI -rwxrwxrwx 1 mysql root 9582 2012-02-20 15:50 db.frm -rwxrwxrwx 1 mysql root 8360 2011-12-08 02:14 db.MYD -rwxrwxrwx 1 mysql root 5120 2012-02-20 15:50 db.MYI -rwxrwxrwx 1 mysql root 54 2011-11-12 15:42 db.opt -rwxrwxrwx 1 mysql root 10223 2012-02-20 15:50 event.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 event.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 event.MYI -rwxrwxrwx 1 mysql root 8665 2012-02-20 15:50 func.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 func.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 func.MYI -rwxrwxrwx 1 mysql root 8700 2012-02-20 15:50 help_category.frm -rwxrwxrwx 1 mysql root 21497 2011-11-12 15:42 help_category.MYD -rwxrwxrwx 1 mysql root 3072 2012-02-20 15:50 help_category.MYI -rwxrwxrwx 1 mysql root 8612 2012-02-20 15:50 help_keyword.frm -rwxrwxrwx 1 mysql root 88650 2011-11-12 15:42 help_keyword.MYD -rwxrwxrwx 1 mysql root 16384 2012-02-20 15:50 help_keyword.MYI -rwxrwxrwx 1 mysql root 8630 2012-02-20 15:50 help_relation.frm -rwxrwxrwx 1 mysql root 8874 2011-11-12 15:42 help_relation.MYD -rwxrwxrwx 1 mysql root 16384 2012-02-20 15:50 help_relation.MYI -rwxrwxrwx 1 mysql root 8770 2012-02-20 15:50 help_topic.frm -rwxrwxrwx 1 mysql root 414320 2011-11-12 15:42 help_topic.MYD -rwxrwxrwx 1 mysql root 20480 2012-02-20 15:50 help_topic.MYI -rwxrwxrwx 1 mysql root 9510 2012-02-20 15:50 host.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 host.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 host.MYI -rwxrwxrwx 1 mysql root 8554 2011-11-12 15:42 innodb_monitor.frm -rwxrwxrwx 1 mysql root 98304 2011-11-12 15:55 innodb_monitor.ibd -rwxrwxrwx 1 mysql root 8592 2012-02-20 15:50 inventory.frm -rwxrwxrwx 1 mysql root 76 2011-11-12 15:42 inventory.MYD -rwxrwxrwx 1 mysql root 2048 2012-02-20 15:50 inventory.MYI -rwxrwxrwx 1 mysql root 8778 2012-02-20 15:50 ndb_binlog_index.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 ndb_binlog_index.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 ndb_binlog_index.MYI -rwxrwxrwx 1 mysql root 8586 2012-02-20 15:50 plugin.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 plugin.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 plugin.MYI -rwxrwxrwx 1 mysql root 9996 2012-02-20 15:50 proc.frm -rwxrwxrwx 1 mysql root 3983252 2012-02-03 22:51 proc.MYD -rwxrwxrwx 1 mysql root 36864 2012-02-21 13:23 proc.MYI -rwxrwxrwx 1 mysql root 8875 2012-02-20 15:50 procs_priv.frm -rwxrwxrwx 1 mysql root 1700 2011-11-12 15:42 procs_priv.MYD -rwxrwxrwx 1 mysql root 8192 2012-02-20 15:50 procs_priv.MYI -rwxrwxrwx 1 mysql root 3977704 2012-02-21 13:23 proc.TMD -rwxrwxrwx 1 mysql root 8800 2012-02-20 15:50 proxies_priv.frm -rwxrwxrwx 1 mysql root 693 2011-11-12 15:42 proxies_priv.MYD -rwxrwxrwx 1 mysql root 5120 2012-02-20 15:50 proxies_priv.MYI -rwxrwxrwx 1 mysql root 8838 2012-02-20 15:50 servers.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 servers.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 servers.MYI -rwxrwxrwx 1 mysql root 8955 2012-02-20 15:50 tables_priv.frm -rwxrwxrwx 1 mysql root 5957 2011-11-12 15:42 tables_priv.MYD -rwxrwxrwx 1 mysql root 8192 2012-02-20 15:50 tables_priv.MYI -rwxrwxrwx 1 mysql root 8636 2012-02-20 15:50 time_zone.frm -rwxrwxrwx 1 mysql root 8624 2012-02-20 15:50 time_zone_leap_second.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_leap_second.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_leap_second.MYI -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone.MYI -rwxrwxrwx 1 mysql root 8606 2012-02-20 15:50 time_zone_name.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_name.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_name.MYI -rwxrwxrwx 1 mysql root 8686 2012-02-20 15:50 time_zone_transition.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_transition.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_transition.MYI -rwxrwxrwx 1 mysql root 8748 2012-02-20 15:50 time_zone_transition_type.frm -rwxrwxrwx 1 mysql root 0 2011-11-12 15:42 time_zone_transition_type.MYD -rwxrwxrwx 1 mysql root 1024 2012-02-20 15:50 time_zone_transition_type.MYI -rwxrwxrwx 1 mysql root 10630 2012-02-20 15:50 user.frm -rwxrwxrwx 1 mysql root 5456 2011-11-12 21:01 user.MYD -rwxrwxrwx 1 mysql root 4096 2012-02-20 15:50 user.MYI

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  • Should I create separate Work and Personal Github accounts?

    - by Almost Surely
    I'm fairly new to programming, and I've been working on many personal projects, which I'm concerned can come across as silly/unprofessional. The kind of projects I have are a Reddit Image Downloader and a tool for GM's to use in roleplaying games. I want to start building up a Github for projects in my chosen field of Data Analytics, but I'm not sure how to orgaqnize projects on my Github account. Should I create a "Professional" Github, mainly containing different analytical scripts and have a separate "Personal" account for fun little projects of mine? Or am I just overthinking this and should I just maintain account?

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  • How can I create blog post functionality without Wordpress or Drupal?

    - by Ali
    I'm currently learning Python (as a beginner in programming). I go through each chapter learning basics. I haven't gotten far enough to understand how CMS works. I eventually want a blog that doesn't depend on Wordpress or Drupal. I would like to develop it myself as my skills progress. My immediate curiosity is on blog posts. What is the component called that will allow me to make a daily post on my blog? There must be a technical term for this function. I would like to learn how to make one, but don't even know what to research. Everything I research points me to Wordpress or Drupal. I would like to create my own. Thanks in advance! Ali

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  • Export mysql database tables to php code to create same tables in other database?

    - by chefnelone
    How do I Export mysql database tables to php code so that it allows me to create and populate same tables in other database? I have a local database, I exported to sql syntax, then I get something like: CREATE TABLE `boletinSuscritos` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(120) NOT NULL, `email` varchar(120) NOT NULL, `date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=3 ; INSERT INTO `boletinSuscritos` VALUES(1, 'walter', '[email protected]', '2010-03-24 12:53:12'); INSERT INTO `boletinSuscritos` VALUES(2, 'Paco', '[email protected]', '2010-03-24 12:56:56'); but I need it to be: (Is there any way to export the tables in this way) $sql = "CREATE TABLE boletinSuscritos ( id int(11) NOT NULL AUTO_INCREMENT, name varchar(120) NOT NULL, email varchar(120) NOT NULL, date timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY ( id ) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=3 )"; mysql_query($sql,$conexion); mysql_query("INSERT INTO boletinSuscritos VALUES(1, 'walter', '[email protected]', '2010-03-24 12:53:12')"); mysql_query("INSERT INTO boletinSuscritos VALUES(2, 'Paco', '[email protected]', '2010-03-24 12:56:56')");

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  • Count Items in Access 2003

    - by Anna
    I have a table which contains a column with different items which i would like to count by there type. For example the table looks like the following: Id Type 1 Table 2 Table 3 TV 4 TV 5 Table 6 TV 7 TV The result should looks like: Type NumOfItems Table 3 TV 4 I use the following code which doesn't work for my Access 2003: SELECT Table1.Type, Count(Table1.Type) AS NumOfItems FROM Table1

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  • Developers are strange

    - by DavidWimbush
    Why do developers always use the GUI tools in SQL Server? I've always found this irritating and just vaguely assumed it's because they aren't familiar with SQL syntax. But when you think about it it, it's a genuine puzzle. Developers type code all day - really heavy code too like generics, lamda functions and extension methods. They (thankfully) scorn the Visual Studio stuff where you drag a table onto the class and it pastes in lots of code to query the table into a DataSet or something. But when they want to add a column to a table, without fail they dive into the graphical table designer. And half the time the script it generates does horrible things like copy the table to another one with the new column, delete the old table, and rename the new table. Which is fine if your users don't care about uptime. Is ALTER TABLE ADD <column definition> really that hard? I just don't get it.

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  • nf_conntrack complaints in dmesg

    - by Alexander Gladysh
    While investigating complains on bad HTTP server performance, I've discovered these lines in dmesg of my Xen XCP host that contains a guest OS with said server: [11458852.811070] net_ratelimit: 321 callbacks suppressed [11458852.811075] nf_conntrack: table full, dropping packet. [11458852.819957] nf_conntrack: table full, dropping packet. [11458852.821083] nf_conntrack: table full, dropping packet. [11458852.822195] nf_conntrack: table full, dropping packet. [11458852.824987] nf_conntrack: table full, dropping packet. [11458852.825298] nf_conntrack: table full, dropping packet. [11458852.825891] nf_conntrack: table full, dropping packet. [11458852.826225] nf_conntrack: table full, dropping packet. [11458852.826234] nf_conntrack: table full, dropping packet. [11458852.826814] nf_conntrack: table full, dropping packet. Complains are repeated every five seconds (number of suppressed callbacks is different each time). What can these sympthoms mean? Is that bad? Any hints? (Note that the question is more narrow than "how to solve specific case of bad HTTP server performance", so I do not give more details on that.) Additional info: $ uname -a Linux MYHOST 3.2.0-24-generic #37-Ubuntu SMP Wed Apr 25 08:43:22 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux $ lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 12.04 LTS Release: 12.04 Codename: precise $ cat /proc/sys/net/netfilter/nf_conntrack_max 1548576 The server is under about 10M hits / day load.

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  • When importing an Access table into Excel, a look-up column is showing all values as numbers

    - by user3651997
    I have a basic Access to Excel question that has me frustrated. I have two Access 2010 data tables. One is a list of managers. The primary key is a manager ID (which is an autonumber because managers can have the same name), and each row also has manager name, manager email, etc. The second data table is a list of departments. The primary key for each row is a unique department code, and the foreign key is a manager ID (autonumber). I used the Look-up Wizard to create this connection. However, Access does not show the manager ID in the foreign key location. It shows Manager Name like I requested when I used the Look-up Wizard. Now I am trying to import the second table (departments) into Excel 2010. I clicked import from Access, chose the Department table, and everything popped into Excel. BUT, the Manager Name column is showing Manager ID instead. So I have a list of numbers instead of names. How can I make Excel show what I see in Access? Thanks!

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  • Spooling in SQL execution plans

    - by Rob Farley
    Sewing has never been my thing. I barely even know the terminology, and when discussing this with American friends, I even found out that half the words that Americans use are different to the words that English and Australian people use. That said – let’s talk about spools! In particular, the Spool operators that you find in some SQL execution plans. This post is for T-SQL Tuesday, hosted this month by me! I’ve chosen to write about spools because they seem to get a bad rap (even in my song I used the line “There’s spooling from a CTE, they’ve got recursion needlessly”). I figured it was worth covering some of what spools are about, and hopefully explain why they are remarkably necessary, and generally very useful. If you have a look at the Books Online page about Plan Operators, at http://msdn.microsoft.com/en-us/library/ms191158.aspx, and do a search for the word ‘spool’, you’ll notice it says there are 46 matches. 46! Yeah, that’s what I thought too... Spooling is mentioned in several operators: Eager Spool, Lazy Spool, Index Spool (sometimes called a Nonclustered Index Spool), Row Count Spool, Spool, Table Spool, and Window Spool (oh, and Cache, which is a special kind of spool for a single row, but as it isn’t used in SQL 2012, I won’t describe it any further here). Spool, Table Spool, Index Spool, Window Spool and Row Count Spool are all physical operators, whereas Eager Spool and Lazy Spool are logical operators, describing the way that the other spools work. For example, you might see a Table Spool which is either Eager or Lazy. A Window Spool can actually act as both, as I’ll mention in a moment. In sewing, cotton is put onto a spool to make it more useful. You might buy it in bulk on a cone, but if you’re going to be using a sewing machine, then you quite probably want to have it on a spool or bobbin, which allows it to be used in a more effective way. This is the picture that I want you to think about in relation to your data. I’m sure you use spools every time you use your sewing machine. I know I do. I can’t think of a time when I’ve got out my sewing machine to do some sewing and haven’t used a spool. However, I often run SQL queries that don’t use spools. You see, the data that is consumed by my query is typically in a useful state without a spool. It’s like I can just sew with my cotton despite it not being on a spool! Many of my favourite features in T-SQL do like to use spools though. This looks like a very similar query to before, but includes an OVER clause to return a column telling me the number of rows in my data set. I’ll describe what’s going on in a few paragraphs’ time. So what does a Spool operator actually do? The spool operator consumes a set of data, and stores it in a temporary structure, in the tempdb database. This structure is typically either a Table (ie, a heap), or an Index (ie, a b-tree). If no data is actually needed from it, then it could also be a Row Count spool, which only stores the number of rows that the spool operator consumes. A Window Spool is another option if the data being consumed is tightly linked to windows of data, such as when the ROWS/RANGE clause of the OVER clause is being used. You could maybe think about the type of spool being like whether the cotton is going onto a small bobbin to fit in the base of the sewing machine, or whether it’s a larger spool for the top. A Table or Index Spool is either Eager or Lazy in nature. Eager and Lazy are Logical operators, which talk more about the behaviour, rather than the physical operation. If I’m sewing, I can either be all enthusiastic and get all my cotton onto the spool before I start, or I can do it as I need it. “Lazy” might not the be the best word to describe a person – in the SQL world it describes the idea of either fetching all the rows to build up the whole spool when the operator is called (Eager), or populating the spool only as it’s needed (Lazy). Window Spools are both physical and logical. They’re eager on a per-window basis, but lazy between windows. And when is it needed? The way I see it, spools are needed for two reasons. 1 – When data is going to be needed AGAIN. 2 – When data needs to be kept away from the original source. If you’re someone that writes long stored procedures, you are probably quite aware of the second scenario. I see plenty of stored procedures being written this way – where the query writer populates a temporary table, so that they can make updates to it without risking the original table. SQL does this too. Imagine I’m updating my contact list, and some of my changes move data to later in the book. If I’m not careful, I might update the same row a second time (or even enter an infinite loop, updating it over and over). A spool can make sure that I don’t, by using a copy of the data. This problem is known as the Halloween Effect (not because it’s spooky, but because it was discovered in late October one year). As I’m sure you can imagine, the kind of spool you’d need to protect against the Halloween Effect would be eager, because if you’re only handling one row at a time, then you’re not providing the protection... An eager spool will block the flow of data, waiting until it has fetched all the data before serving it up to the operator that called it. In the query below I’m forcing the Query Optimizer to use an index which would be upset if the Name column values got changed, and we see that before any data is fetched, a spool is created to load the data into. This doesn’t stop the index being maintained, but it does mean that the index is protected from the changes that are being done. There are plenty of times, though, when you need data repeatedly. Consider the query I put above. A simple join, but then counting the number of rows that came through. The way that this has executed (be it ideal or not), is to ask that a Table Spool be populated. That’s the Table Spool operator on the top row. That spool can produce the same set of rows repeatedly. This is the behaviour that we see in the bottom half of the plan. In the bottom half of the plan, we see that the a join is being done between the rows that are being sourced from the spool – one being aggregated and one not – producing the columns that we need for the query. Table v Index When considering whether to use a Table Spool or an Index Spool, the question that the Query Optimizer needs to answer is whether there is sufficient benefit to storing the data in a b-tree. The idea of having data in indexes is great, but of course there is a cost to maintaining them. Here we’re creating a temporary structure for data, and there is a cost associated with populating each row into its correct position according to a b-tree, as opposed to simply adding it to the end of the list of rows in a heap. Using a b-tree could even result in page-splits as the b-tree is populated, so there had better be a reason to use that kind of structure. That all depends on how the data is going to be used in other parts of the plan. If you’ve ever thought that you could use a temporary index for a particular query, well this is it – and the Query Optimizer can do that if it thinks it’s worthwhile. It’s worth noting that just because a Spool is populated using an Index Spool, it can still be fetched using a Table Spool. The details about whether or not a Spool used as a source shows as a Table Spool or an Index Spool is more about whether a Seek predicate is used, rather than on the underlying structure. Recursive CTE I’ve already shown you an example of spooling when the OVER clause is used. You might see them being used whenever you have data that is needed multiple times, and CTEs are quite common here. With the definition of a set of data described in a CTE, if the query writer is leveraging this by referring to the CTE multiple times, and there’s no simplification to be leveraged, a spool could theoretically be used to avoid reapplying the CTE’s logic. Annoyingly, this doesn’t happen. Consider this query, which really looks like it’s using the same data twice. I’m creating a set of data (which is completely deterministic, by the way), and then joining it back to itself. There seems to be no reason why it shouldn’t use a spool for the set described by the CTE, but it doesn’t. On the other hand, if we don’t pull as many columns back, we might see a very different plan. You see, CTEs, like all sub-queries, are simplified out to figure out the best way of executing the whole query. My example is somewhat contrived, and although there are plenty of cases when it’s nice to give the Query Optimizer hints about how to execute queries, it usually doesn’t do a bad job, even without spooling (and you can always use a temporary table). When recursion is used, though, spooling should be expected. Consider what we’re asking for in a recursive CTE. We’re telling the system to construct a set of data using an initial query, and then use set as a source for another query, piping this back into the same set and back around. It’s very much a spool. The analogy of cotton is long gone here, as the idea of having a continual loop of cotton feeding onto a spool and off again doesn’t quite fit, but that’s what we have here. Data is being fed onto the spool, and getting pulled out a second time when the spool is used as a source. (This query is running on AdventureWorks, which has a ManagerID column in HumanResources.Employee, not AdventureWorks2012) The Index Spool operator is sucking rows into it – lazily. It has to be lazy, because at the start, there’s only one row to be had. However, as rows get populated onto the spool, the Table Spool operator on the right can return rows when asked, ending up with more rows (potentially) getting back onto the spool, ready for the next round. (The Assert operator is merely checking to see if we’ve reached the MAXRECURSION point – it vanishes if you use OPTION (MAXRECURSION 0), which you can try yourself if you like). Spools are useful. Don’t lose sight of that. Every time you use temporary tables or table variables in a stored procedure, you’re essentially doing the same – don’t get upset at the Query Optimizer for doing so, even if you think the spool looks like an expensive part of the query. I hope you’re enjoying this T-SQL Tuesday. Why not head over to my post that is hosting it this month to read about some other plan operators? At some point I’ll write a summary post – once I have you should find a comment below pointing at it. @rob_farley

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  • Working with EO composition associations via ADF BC SDO web services

    - by Chris Muir
    ADF Business Components support the ability to publish the underlying Application Modules (AMs) and View Objects (VOs) as web services through Service Data Objects (SDOs).  This blog post looks at a minor challenge to overcome when using SDOs and Entity Objects (EOs) that use a composition association. Using the default ADF BC EO association behaviour ADF BC components allow you to work with VOs that are based on EOs that are a part of a parent-child composition association.  A composition association enforces that you cannot create records for the child outside the context of the parent.  As example when creating invoice-lines you want to enforce the individual lines have a relating parent invoice record, it just simply doesn't make sense to save invoice-lines without their parent invoice record. In the following screenshot using the ADF BC Tester it demonstrates the correct way to create a child Employees record as part of a composition association with Departments: And the following screenshot shows you the wrong way to create an Employee record: Note the error which is enforced by the composition association: (oracle.jbo.InvalidOwnerException) JBO-25030: Detail entity Employees with row key null cannot find or invalidate its owning entity.  Working with composition associations via the SDO web services  Shay Shmeltzer recently recorded a good video which demonstrates how to expose your ADF Business Components through the SDO interface. On exposing the VOs you get a choice of operation to publish including create, update, delete and more: For example through the SDO test interface we can see that the create operation will request the attributes for the VO exposed, in this case EmployeesView1: In this specific case though, just like the ADF BC Tester, an attempt to create this record will fail with JBO-25030, the composition association is still enforced: The correct way to to do this is through the create operation on the DepartmentsView1 which also lets you create employees record in context of the parent, thus satisfying the composition association rule: Yet at issue here is the create operation will always create both the parent Departments and Employees records.  What do we do if we've already previously created the parent Departments records, and we just want to create additional Employees records for that Department?  The create method of the EmployeeView1 as we saw previously doesn't allow us to do that, the JBO-3050 error will be raised. The solution is the "merge" operation on the parent Departments record: In this case for the Departments record you just need to supply the DepartmentId of the Department you want the Employees record to be associated with, as well as the new Employees record.  When invoked only the Employees record is created, and the supply of the DepartmentId of the Departments record satisfies the composition association without actually creating or updating the associated Department record that already exists in the database. Be warned however if you supply any more attributes for the Department record, it will result in a merge (update) of the associated Departments record too. 

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  • Why is my WordPress installation unable to create a directory?

    - by Ankur
    I am a new user of Ubuntu 12.04 64 bit and I want to test WordPress on my local PC installation. I've only installed LAMP and the latest version of WordPress for now. Further actions were creating a directory www in /home, i.e /home/www install wordpress in it. changed Apache to use /home/www instead of /var/www Apache is running smoothly & wordpress seems to be so as well. However, if try to change my background of my wordpress blog it throws an error Unable to create directory wp-content/uploads/2012/12. Is its parent directory writable by the server? Plese help me to resolve my problem.

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  • How to filter a mysql database with user input on a website and then spit the filtered table back to the website? [migrated]

    - by Luke
    I've been researching this on google for literally 3 weeks, racking my brain and still not quite finding anything. I can't believe this is so elusive. (I'm a complete beginner so if my terminology sounds stupid then that's why.) I have a database in mysql/phpmyadmin on my web host. I'm trying to create a front end that will allow a user to specify criteria for querying the database in a way that they don't have to know sql, basically just combo boxes and checkboxes on a form. Then have this form 'submit' a query to the database, and show the filtered tables. This is how the SQL looks in Microsoft Access: PARAMETERS TEXTINPUT1 Text ( 255 ), NUMBERINPUT1 IEEEDouble; // pops up a list of parameters for the user to input SELECT DISTINCT Table1.Column1, Table1.Column2, Table1.Column3,* // selects only the unique rows in these three columns FROM Table1 // the table where this query is happening WHERE (((Table1.Column1) Like TEXTINPUT1] AND ((Table1.Column2)<=[NUMBERINPUT1] AND ((Table1.Column3)>=[NUMBERINPUT1])); // the criteria for the filter, it's comparing the user input parameters to the data in the rows and only selecting matches according to the equal sign, or greater than + equal sign, or less than + equal sign What I don't get: WHAT IN THE WORLD AM I SUPPOSED TO USE (that isn't totally hard)!? I've tried google fusion tables - doesn't filter right with numerical data or empty cells in rows, can't relate tables I've tried DataTables.net, can't filter right with numerical data and can't use SQL without a bunch of indepth knowledge, not even sure it can if you have that.. I've looked into using jQuery with google spreadsheets, doesn't work at all either I have no idea how I'm supposed to build a front end with my database. Every place that looks promising (like zohocreator) is asking for money, and is far too simplified to be able to do the LIKE criteria or SELECT DISTINCT stuff.

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  • Is it possible to create and distribute an app for the BlackBerry Playbook that doesn't go into App World?

    - by Drackir
    My company is looking to create an app that we'll use internally on several (about 20) BlackBerry Playbooks. We don't want it to be put up on App World because it's just an internal application. I'm wondering if there are any: Costs involved with this outside of paying a programmer to develop it - i.e. Are there any license fees, deployment fees, etc. License issues involved with deploying the app to multiple Playbooks without deploying it to App World Limitations on functionality of the app Other things we should be taking into consideration If it matters, the app will be collecting information and downloading it to a computer via USB.

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  • Oracle HRMS APIs

    - by PRajkumar
    Oracle HRMS APIs..... Here I will be sharing all the Oracle HRMS APIs related articles. Item Type Author 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Create Employee API Update Employee API Create Employee Contact API Create Employee Address API Update Employee Address API Create Element Entries for Employee API Delete Element Entries for Employee API Rehire Employee API Create Employee Payment Method API Create and Update Employee Phone API Create and Update Employee Salary Proposal API Update Employee Fed Tax Rule API Create Employee State Tax Rule API Update Employee State Tax Rule API Update Employee Assignment API Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar Puneet Rajkumar

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  • Can't create site connection in Contribute. Adminstrator account removed from domain

    - by tribus
    I have been tasked with administering several sites through Contribute. The previous administrator has since left and his domain account was removed. I believe I had been set up as an additional admin on these sites previously. However, when I attempt to create a connection through "My Connections" in Contribute using SFTP and my credentials, I get the following error: I have verified that I have read/write access to these sites through FTP. How can I take control of these sites through Contribute so that I can start administering them? Is this related to the removal of the previous admin's account?

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  • create new subdomain or buy new domain? seo costs [migrated]

    - by greek_no_money
    If I am targeting the same audience, but the new sub-site has different concept from the existing site, should I create a new sub-domain or create a new domain? What are the seo advantages and disadvantages of creating a new sub-domain? For example Stack Exchange with Alexa rank 1.474 right now, has sub-domains such as programmers.stackexchange.com and other domains such us serverfault.com with rank 3.515 and stackoverflow.com with rank 109. So why didn't Stack Exchange put, for example, Stack Overflow in a sub-domain to create a better ranking?

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  • Is it a good idea to create shared UI library that would render natively on different platforms?

    - by Maciej Donajski
    I am designing an application that has following flow: User designs a form using web application (J2EE backend application) The form is sent to mobile device (Android) Mobile device User fills out the form designed in 1. Results are synced with backend. One of my ideas is to create a common java UI library for creating the type of forms that I need. This library would also have a native renderers for different platforms (Web and Android would be implemented first). The whole point of it is to have a native experience on web and android side. Are there any existing solutions to meet the requirements that I have? Is it a good approach to achieve them?

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  • Is there a way to batch create DNS slave zones on a new slave DNS server?

    - by Josh
    I currently have a DNS server which is serving as a master DNS server for a number of our domains. I want to set up a brand new secondary DNS server. Is there any way I can automatically have BIND on the new server act as a secondary for all the domains on the primary server? In case it matters, I have Webmin on the primary server. I believe Webmin has an option to create a zone as a secondary on another server when creating a new master zone on one server, but I don;t know of any way to batch create secondary zones for a number of existing master zones. Maybe I'm missing something. Is there a way to "batch create" DNS slave zones on a brand new slave DNS server for all the DNS zones on an existing master?

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  • Organising data access for dependency injection

    - by IanAWP
    In our company we have a relatively long history of database backed applications, but have only just begun experimenting with dependency injection. I am looking for advice about how to convert our existing data access pattern into one more suited for dependency injection. Some specific questions: Do you create one access object per table (Given that a table represents an entity collection)? One interface per table? All of these would need the low level Data Access object to be injected, right? What about if there are dozens of tables, wouldn't that make the composition root into a nightmare? Would you instead have a single interface that defines things like GetCustomer(), GetOrder(), etc? If I took the example of EntityFramework, then I would have one Container that exposes an object for each table, but that container doesn't conform to any interface itself, so doesn't seem like it's compatible with DI. What we do now, in case it helps: The way we normally manage data access is through a generic data layer which exposes CRUD/Transaction capabilities and has provider specific subclasses which handle the creation of IDbConnection, IDbCommand, etc. Actual table access uses Table classes that perform the CRUD operations associated with a particular table and accept/return domain objects that the rest of the system deals with. These table classes expose only static methods, and utilise a static DataAccess singleton instantiated from a config file.

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  • How to create a bootable Clonezilla usb with Tuxboot that work?

    - by Feanor
    I'm trying to create a bootable clonezilla usb with tuxboot, the application that is recommended by clonezilla site. I installed it via Ubuntu PPA and follow the instructions on the site to put files on usb. Everything went well and then I restarted the system. Now when I'm trying to boot from usb it says: "This is not a bootable disk. Please insert a bootable floppy and press any key to try again ..." What is causing this problem? I really appreciate any help you can provide. My laptop model is Dell studio-1558 and I'm running Ubuntu 14.04

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