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  • Can't connect to samba

    - by Rick
    Windows 7, connecting to Samba shares I have a follow up question from the link above. I am running Samba 3.0.23d on FreeBSD is release 7.1 I changed the policies as described above but still cannot connect to the samba server with the windows 7 or a server 2008. I feel it is a problem with recognizing the new machines on the network. the windows machines can see the samba server, but cannot connect to it or view any of the files. After changing the security policies the samba server asked for network id and password but would not allow the machine to connect, said they were unknown username or bad password. Here is my current config file. there is no sign of encryption anywhere, should I just add the line? not sure what that would do elsewhere. Workgroup = WWOFFSET server string = WWO File Server (%v) security = server username map = /usr/local/etc/smb.users hosts allow = 10. 127. # If you want to automatically load your printer list rather # than setting them up individually then you'll need this ; load printers = yes # you may wish to override the location of the printcap file ; printcap name = /etc/printcap # on SystemV system setting printcap name to lpstat should allow # you to automatically obtain a printer list from the SystemV spool # system ; printcap name = lpstat # It should not be necessary to specify the print system type unless # it is non-standard. Currently supported print systems include: # bsd, cups, sysv, plp, lprng, aix, hpux, qnx ; printing = cups # Uncomment this if you want a guest account, you must add this to /etc/passwd # otherwise the user "nobody" is used ; guest account = pcguest # this tells Samba to use a separate log file for each machine # that connects log file = /var/log/samba/log.%m # Put a capping on the size of the log files (in Kb). max log size = 50 # Use password server option only with security = server # The argument list may include: # password server = My_PDC_Name [My_BDC_Name] [My_Next_BDC_Name] # or to auto-locate the domain controller/s # password server = * ; password server = <NT-Server-Name> password server = SERVER0 # Use the realm option only with security = ads # Specifies the Active Directory realm the host is part of ; realm = MY_REALM # Backend to store user information in. New installations should # use either tdbsam or ldapsam. smbpasswd is available for backwards # compatibility. tdbsam requires no further configuration. ; passdb backend = tdbsam ; passdb backend = smbpasswd # Using the following line enables you to customise your configuration # on a per machine basis. The %m gets replaced with the netbios name # of the machine that is connecting. # Note: Consider carefully the location in the configuration file of # this line. The included file is read at that point. ; include = /usr/local/etc/smb.conf.%m # Most people will find that this option gives better performance. # See the chapter 'Samba performance issues' in the Samba HOWTO Collection # and the manual pages for details. # You may want to add the following on a Linux system: # SO_RCVBUF=8192 SO_SNDBUF=8192 socket options = TCP_NODELAY # Configure Samba to use multiple interfaces # If you have multiple network interfaces then you must list them # here. See the man page for details. ; interfaces = 192.168.12.2/24 192.168.13.2/24 # Browser Control Options: # set local master to no if you don't want Samba to become a master # browser on your network. Otherwise the normal election rules apply ; local master = no # OS Level determines the precedence of this server in master browser # elections. The default value should be reasonable ; os level = 33 # Domain Master specifies Samba to be the Domain Master Browser. This # allows Samba to collate browse lists between subnets. Don't use this # if you already have a Windows NT domain controller doing this job ; domain master = yes # Preferred Master causes Samba to force a local browser election on startup # and gives it a slightly higher chance of winning the election ; preferred master = yes # Enable this if you want Samba to be a domain logon server for # Windows95 workstations. ; domain logons = yes # if you enable domain logons then you may want a per-machine or # per user logon script # run a specific logon batch file per workstation (machine) ; logon script = %m.bat # run a specific logon batch file per username ; logon script = %U.bat # Where to store roving profiles (only for Win95 and WinNT) # %L substitutes for this servers netbios name, %U is username # You must uncomment the [Profiles] share below ; logon path = \\%L\Profiles\%U # Windows Internet Name Serving Support Section: # WINS Support - Tells the NMBD component of Samba to enable it's WINS Server ; wins support = yes # WINS Server - Tells the NMBD components of Samba to be a WINS Client # Note: Samba can be either a WINS Server, or a WINS Client, but NOT both ; wins server = w.x.y.z # WINS Proxy - Tells Samba to answer name resolution queries on # behalf of a non WINS capable client, for this to work there must be # at least one WINS Server on the network. The default is NO. ; wins proxy = yes # DNS Proxy - tells Samba whether or not to try to resolve NetBIOS names # via DNS nslookups. The default is NO. dns proxy = no # charset settings ; display charset = ASCII ; unix charset = ASCII ; dos charset = ASCII # These scripts are used on a domain controller or stand-alone # machine to add or delete corresponding unix accounts ; add user script = /usr/sbin/useradd %u ; add group script = /usr/sbin/groupadd %g ; add machine script = /usr/sbin/adduser -n -g machines -c Machine -d /dev/null -s /bin/false %u ; delete user script = /usr/sbin/userdel %u ; delete user from group script = /usr/sbin/deluser %u %g ; delete group script = /usr/sbin/groupdel %g unix extensions = no

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  • winForms Booking Class Help

    - by cameron
    Hi, I am using C# Windows Forms in visual studio with different classes performing different functions in my program. I have a "Program" main class with the following information: static class Program { /// <summary> /// The main entry point for the application. /// </summary> [STAThread] static void Main() { Application.EnableVisualStyles(); Application.SetCompatibleTextRenderingDefault(false); Application.Run(new Form1()); } } and a Screen class with the following information class Screen { public List<Show> shows { get; private set; } public int ScreenNumber { get; private set; } public Screen(int screenNumber, params Show[] schedule) { this.ScreenNumber = screenNumber; this.shows = schedule.ToList<Show>(); } } and a Seat class with the following information public class Seat { private string name; public bool IsAvailable { get; set; } public decimal Price { get; private set; } public int Number { get; private set; } public Seat(bool isAvailable, int number) { this.IsAvailable = isAvailable; this.name = String.Format("Seat {0}",number); this.Price = 7.50m; this.Number = number; } public override string ToString() { return this.name; } } and finally a Show class with the following information public class Show { private List<Seat> seats = new List<Seat>(); public string Title { get; private set; } public string Time { get; private set; } public int ScreenNumber { get; private set; } public List<Seat> Seats { get { return this.seats; } } public Show(string title, DateTime time, int screenNumber, int numberOfSeats) { this.Title = title; this.Time = time.ToShortTimeString(); this.ScreenNumber = screenNumber; this.initSeats(numberOfSeats); } private void initSeats(int numberOfSeats) { for (int i = 0; i < numberOfSeats; i++) this.seats.Add(new Seat(true, i + 1)); } }` these all feed into two different winForms to create a booking system for shows. therefore i need to collate the data given in program and output it into a txt file. any help will be much appreciated NOTE: the code for FORM1 which allows the user to select which show they want is: namespace CindysSeats { public partial class Form1 : Form { private Cinema cinema = new Cinema(); //booked show could be added to booking object when you create it so that it is easily writable to the external file private Show selectedShow; public Form1() { InitializeComponent(); this.showList_dg.DataSource = this.cinema.GetShowList(); } private void showList_dg_RowHeaderMouseClick(object sender, DataGridViewCellMouseEventArgs e) { Show selectedShow = this.selectedShow = this.cinema.GetShowList()[e.RowIndex]; this.showTitle_lbl.Text = selectedShow.Title; this.showTime_lbl.Text = selectedShow.Time; this.showScreen_lbl.Text = selectedShow.ScreenNumber.ToString(); } private void confirmShow_btn_Click(object sender, EventArgs e) { if (this.selectedShow == null) return; Form2 seats = new Form2(this.selectedShow); seats.Show(); } And the code for FORM2 which is where the user selects their seats they want is: namespace CindysSeats { public partial class Form2 : Form { //booked seats could be added to booking object when you create it so that it is easily writable to the external file private List<Seat> bookedSeats = new List<Seat>(); private Show selectedShow; public Form2(Show selectedShow) { InitializeComponent(); this.selectedShow = selectedShow; this.showSeats_dg.DataSource = this.selectedShow.Seats; } private void showSeats_dg_RowHeaderMouseClick(object sender, DataGridViewCellMouseEventArgs e) { Seat selectedSeat = this.selectedShow.Seats[e.RowIndex]; if(this.bookedSeats.Contains(selectedSeat)) return; if(!selectedSeat.IsAvailable) return; this.bookedSeats.Add(selectedSeat); this.bookedSeats_lv.Items.Add(selectedSeat.ToString() + " " + selectedSeat.Price.ToString()+"\n"); this.bookedSeats_lv.Invalidate(); } private void bookSeats_btn_Click(object sender, EventArgs e) { } } thank you for helping

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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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  • Android: Crashed when single contact is clicked

    - by Sean Tan
    My application is always crashed at this moment, guru here please help me to solved. Thanks.The situation now is as mentioned in title above. Hereby is my AndroidManifest.xml <?xml version="1.0" encoding="utf-8"?> <!-- Copyright (C) 2009 The Android Open Source Project Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <manifest xmlns:android="http://schemas.android.com/apk/res/android" package="com.example.android.contactmanager" android:versionCode="1" android:versionName="1.0"> <uses-sdk android:minSdkVersion="10" /> <uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/> <uses-permission android:name="android.permission.MANAGE_ACCOUNTS"/> <uses-permission android:name="android.permission.WRITE_OWNER_DATA"/> <uses-permission android:name="android.permission.CAMERA"/> <uses-permission android:name="android.permission.CALL_PHONE"/> <uses-permission android:name="android.permission.GET_ACCOUNTS" /> <uses-permission android:name="android.permission.READ_CONTACTS" /> <uses-permission android:name="android.permission.WRITE_CONTACTS" /> <uses-permission android:name="android.permission.ACCESS_FINE_LOCATION"/> <uses-permission android:name="android.permission.INTERNET"/> <uses-permission android:name="android.permission.CAMERA"/> <uses-permission android:name="android.permission.ACCESS_COARSE_LOCATION"/> <uses-permission android:name="android.permission.GET_ACCOUNTS"/> <application android:label="@string/app_name" android:icon="@drawable/icon" android:allowBackup="true"> <!-- --><activity android:name=".ContactManager" android:label="@string/app_name"> <intent-filter> <action android:name="android.intent.action.MAIN" /> <category android:name="android.intent.category.LAUNCHER" /> </intent-filter> </activity> <activity android:name="ContactAdder" android:label="@string/addContactTitle"> </activity> <activity android:name=".SingleListContact" android:label="Contact Person Details"> </activity> </application> </manifest> The SingleListContact.java package com.example.android.contactmanager; import android.app.Activity; import android.content.Intent; import android.os.Bundle; import android.widget.TextView; public class SingleListContact extends Activity{ @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); this.setContentView(R.layout.single_list_contact_view); TextView txtContact = (TextView) findViewById(R.id.contactList); Intent i = getIntent(); // getting attached intent data String contact = i.getStringExtra("contact"); // displaying selected product name txtContact.setText(contact); } } My ContactManager.java as below /* * Copyright (C) 2009 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package com.example.android.contactmanager; import android.app.Activity; import android.content.Intent; import android.database.Cursor; import android.net.Uri; import android.os.Bundle; import android.provider.ContactsContract; import android.util.Log; import android.view.View; import android.widget.AdapterView; import android.widget.AdapterView.OnItemClickListener; import android.widget.Button; import android.widget.CheckBox; import android.widget.CompoundButton; import android.widget.CompoundButton.OnCheckedChangeListener; import android.widget.ListView; import android.widget.SimpleCursorAdapter; import android.widget.TextView; public final class ContactManager extends Activity implements OnItemClickListener { public static final String TAG = "ContactManager"; private Button mAddAccountButton; private ListView mContactList; private boolean mShowInvisible; //public BooleanObservable ShowInvisible = new BooleanObservable(false); private CheckBox mShowInvisibleControl; /** * Called when the activity is first created. Responsible for initializing the UI. */ @Override public void onCreate(Bundle savedInstanceState) { Log.v(TAG, "Activity State: onCreate()"); super.onCreate(savedInstanceState); setContentView(R.layout.contact_manager); // Obtain handles to UI objects mAddAccountButton = (Button) findViewById(R.id.addContactButton); mContactList = (ListView) findViewById(R.id.contactList); mShowInvisibleControl = (CheckBox) findViewById(R.id.showInvisible); // Initialise class properties mShowInvisible = false; mShowInvisibleControl.setChecked(mShowInvisible); // Register handler for UI elements mAddAccountButton.setOnClickListener(new View.OnClickListener() { public void onClick(View v) { Log.d(TAG, "mAddAccountButton clicked"); launchContactAdder(); } }); mShowInvisibleControl.setOnCheckedChangeListener(new OnCheckedChangeListener() { public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) { Log.d(TAG, "mShowInvisibleControl changed: " + isChecked); mShowInvisible = isChecked; populateContactList(); } }); mContactList = (ListView) findViewById(R.id.contactList); mContactList.setOnItemClickListener(this); // Populate the contact list populateContactList(); } /** * Populate the contact list based on account currently selected in the account spinner. */ private void populateContactList() { // Build adapter with contact entries Cursor cursor = getContacts(); String[] fields = new String[] { ContactsContract.Data.DISPLAY_NAME }; SimpleCursorAdapter adapter = new SimpleCursorAdapter(this, R.layout.contact_entry, cursor, fields, new int[] {R.id.contactEntryText}); mContactList.setAdapter(adapter); } /** * Obtains the contact list for the currently selected account. * * @return A cursor for for accessing the contact list. */ private Cursor getContacts() { // Run query Uri uri = ContactsContract.Contacts.CONTENT_URI; String[] projection = new String[] { ContactsContract.Contacts._ID, ContactsContract.Contacts.DISPLAY_NAME }; String selection = ContactsContract.Contacts.IN_VISIBLE_GROUP + " = '" + (mShowInvisible ? "0" : "1") + "'"; //String selection = ContactsContract.Contacts.IN_VISIBLE_GROUP + " = '" + (mShowInvisible.get() ? "0" : "1") + "'"; String[] selectionArgs = null; String sortOrder = ContactsContract.Contacts.DISPLAY_NAME + " COLLATE LOCALIZED ASC"; return this.managedQuery(uri, projection, selection, selectionArgs, sortOrder); } /** * Launches the ContactAdder activity to add a new contact to the selected account. */ protected void launchContactAdder() { Intent i = new Intent(this, ContactAdder.class); startActivity(i); } public void onItemClick(AdapterView<?> l, View v, int position, long id) { Log.i("TAG", "You clicked item " + id + " at position " + position); // Here you start the intent to show the contact details // selected item TextView tv=(TextView)v.findViewById(R.id.contactList); String allcontactlist = tv.getText().toString(); // Launching new Activity on selecting single List Item Intent i = new Intent(getApplicationContext(), SingleListContact.class); // sending data to new activity i.putExtra("Contact Person", allcontactlist); startActivity(i); } } contact_entry.xml <?xml version="1.0" encoding="utf-8"?> <!-- Copyright (C) 2009 The Android Open Source Project Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" android:layout_width="fill_parent" android:layout_height="fill_parent" android:orientation="vertical"> <ListView android:layout_width="wrap_content" android:id="@+id/contactList" android:layout_height="0dp" android:padding="10dp" android:textSize="200sp" android:layout_weight="10"/> <CheckBox android:layout_width="wrap_content" android:layout_height="wrap_content" android:id="@+id/showInvisible" android:text="@string/showInvisible"/> <Button android:layout_width="fill_parent" android:layout_height="wrap_content" android:id="@+id/addContactButton" android:text="@string/addContactButtonLabel"/> </LinearLayout> Logcat result: 12-05 05:00:31.289: E/AndroidRuntime(642): FATAL EXCEPTION: main 12-05 05:00:31.289: E/AndroidRuntime(642): java.lang.NullPointerException 12-05 05:00:31.289: E/AndroidRuntime(642): at com.example.android.contactmanager.ContactManager.onItemClick(ContactManager.java:148) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.widget.AdapterView.performItemClick(AdapterView.java:284) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.widget.ListView.performItemClick(ListView.java:3513) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.widget.AbsListView$PerformClick.run(AbsListView.java:1812) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.os.Handler.handleCallback(Handler.java:587) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.os.Handler.dispatchMessage(Handler.java:92) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.os.Looper.loop(Looper.java:123) 12-05 05:00:31.289: E/AndroidRuntime(642): at android.app.ActivityThread.main(ActivityThread.java:3683) 12-05 05:00:31.289: E/AndroidRuntime(642): at java.lang.reflect.Method.invokeNative(Native Method) 12-05 05:00:31.289: E/AndroidRuntime(642): at java.lang.reflect.Method.invoke(Method.java:507) 12-05 05:00:31.289: E/AndroidRuntime(642): at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:839) 12-05 05:00:31.289: E/AndroidRuntime(642): at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:597) 12-05 05:00:31.289: E/AndroidRuntime(642): at dalvik.system.NativeStart.main(Native Method)

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  • JsTree v1.0 - How to manipulate effectively the data from the backend to render the trees and operate correctly?

    - by Jean Paul
    Backend info: PHP 5 / MySQL URL: http://github.com/downloads/vakata/jstree/jstree_pre1.0_fix_1.zip Table structure for table discussions_tree -- CREATE TABLE IF NOT EXISTS `discussions_tree` ( `id` int(11) NOT NULL AUTO_INCREMENT, `parent_id` int(11) NOT NULL DEFAULT '0', `user_id` int(11) NOT NULL DEFAULT '0', `label` varchar(16) DEFAULT NULL, `position` bigint(20) unsigned NOT NULL DEFAULT '0', `left` bigint(20) unsigned NOT NULL DEFAULT '0', `right` bigint(20) unsigned NOT NULL DEFAULT '0', `level` bigint(20) unsigned NOT NULL DEFAULT '0', `type` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL, `h_label` varchar(16) NOT NULL DEFAULT '', `fulllabel` varchar(255) DEFAULT NULL, UNIQUE KEY `uidx_3` (`id`), KEY `idx_1` (`user_id`), KEY `idx_2` (`parent_id`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=8 ; /*The first element should in my understanding not even be shown*/ INSERT INTO `discussions_tree` (`id`, `parent_id`, `user_id`, `label`, `position`, `left`, `right`, `level`, `type`, `h_label`, `fulllabel`) VALUES (0, 0, 0, 'Contacts', 0, 1, 1, 0, NULL, '', NULL); INSERT INTO `discussions_tree` (`id`, `parent_id`, `user_id`, `label`, `position`, `left`, `right`, `level`, `type`, `h_label`, `fulllabel`) VALUES (1, 0, 0, 'How to Tag', 1, 2, 2, 0, 'drive', '', NULL); Front End : I've simplified the logic, it has 6 trees actually inside of a panel and that works fine $array = array("Discussions"); $id_arr = array("d"); $nid = 0; foreach ($array as $k=> $value) { $nid++; ?> <li id="<?=$value?>" class="label"> <a href='#<?=$value?>'><span> <?=$value?> </span></a> <div class="sub-menu" style="height:auto; min-height:120px; background-color:#E5E5E5" > <div class="menu" id="menu_<?=$id_arr[$k]?>" style="position:relative; margin-left:56%"> <img src="./js/jsTree/create.png" alt="" id="create" title="Create" > <img src="./js/jsTree/rename.png" alt="" id="rename" title="Rename" > <img src="./js/jsTree/remove.png" alt="" id="remove" title="Delete"> <img src="./js/jsTree/cut.png" alt="" id="cut" title="Cut" > <img src="./js/jsTree/copy.png" alt="" id="copy" title="Copy"> <img src="./js/jsTree/paste.png" alt="" id="paste" title="Paste"> </div> <div id="<?=$id_arr[$k]?>" class="jstree_container"></div> </div> </li> <!-- JavaScript neccessary for this tree : <?=$value?> --> <script type="text/javascript" > jQuery(function ($) { $("#<?=$id_arr[$k]?>").jstree({ // List of active plugins used "plugins" : [ "themes", "json_data", "ui", "crrm" , "hotkeys" , "types" , "dnd", "contextmenu"], // "ui" :{ "initially_select" : ["#node_"+ $nid ] } , "crrm": { "move": { "always_copy": "multitree" }, "input_width_limit":128 }, "core":{ "strings":{ "new_node" : "New Tag" }}, "themes": {"theme": "classic"}, "json_data" : { "ajax" : { "url" : "./js/jsTree/server-<?=$id_arr[$k]?>.php", "data" : function (n) { // the result is fed to the AJAX request `data` option return { "operation" : "get_children", "id" : n.attr ? n.attr("id").replace("node_","") : 1, "state" : "", "user_id": <?=$uid?> }; } } } , "types" : { "max_depth" : -1, "max_children" : -1, "types" : { // The default type "default" : { "hover_node":true, "valid_children" : [ "default" ], }, // The `drive` nodes "drive" : { // can have files and folders inside, but NOT other `drive` nodes "valid_children" : [ "default", "folder" ], "hover_node":true, "icon" : { "image" : "./js/jsTree/root.png" }, // those prevent the functions with the same name to be used on `drive` nodes.. internally the `before` event is used "start_drag" : false, "move_node" : false, "remove_node" : false } } }, "contextmenu" : { "items" : customMenu , "select_node": true} }) //Hover function binded to jstree .bind("hover_node.jstree", function (e, data) { $('ul li[rel="drive"], ul li[rel="default"], ul li[rel=""]').each(function(i) { $(this).find("a").attr('href', $(this).attr("id")+".php" ); }) }) //Create function binded to jstree .bind("create.jstree", function (e, data) { $.post( "./js/jsTree/server-<?=$id_arr[$k]?>.php", { "operation" : "create_node", "id" : data.rslt.parent.attr("id").replace("node_",""), "position" : data.rslt.position, "label" : data.rslt.name, "href" : data.rslt.obj.attr("href"), "type" : data.rslt.obj.attr("rel"), "user_id": <?=$uid?> }, function (r) { if(r.status) { $(data.rslt.obj).attr("id", "node_" + r.id); } else { $.jstree.rollback(data.rlbk); } } ); }) //Remove operation .bind("remove.jstree", function (e, data) { data.rslt.obj.each(function () { $.ajax({ async : false, type: 'POST', url: "./js/jsTree/server-<?=$id_arr[$k]?>.php", data : { "operation" : "remove_node", "id" : this.id.replace("node_",""), "user_id": <?=$uid?> }, success : function (r) { if(!r.status) { data.inst.refresh(); } } }); }); }) //Rename operation .bind("rename.jstree", function (e, data) { data.rslt.obj.each(function () { $.ajax({ async : true, type: 'POST', url: "./js/jsTree/server-<?=$id_arr[$k]?>.php", data : { "operation" : "rename_node", "id" : this.id.replace("node_",""), "label" : data.rslt.new_name, "user_id": <?=$uid?> }, success : function (r) { if(!r.status) { data.inst.refresh(); } } }); }); }) //Move operation .bind("move_node.jstree", function (e, data) { data.rslt.o.each(function (i) { $.ajax({ async : false, type: 'POST', url: "./js/jsTree/server-<?=$id_arr[$k]?>.php", data : { "operation" : "move_node", "id" : $(this).attr("id").replace("node_",""), "ref" : data.rslt.cr === -1 ? 1 : data.rslt.np.attr("id").replace("node_",""), "position" : data.rslt.cp + i, "label" : data.rslt.name, "copy" : data.rslt.cy ? 1 : 0, "user_id": <?=$uid?> }, success : function (r) { if(!r.status) { $.jstree.rollback(data.rlbk); } else { $(data.rslt.oc).attr("id", "node_" + r.id); if(data.rslt.cy && $(data.rslt.oc).children("UL").length) { data.inst.refresh(data.inst._get_parent(data.rslt.oc)); } } } }); }); }); // This is for the context menu to bind with operations on the right clicked node function customMenu(node) { // The default set of all items var control; var items = { createItem: { label: "Create", action: function (node) { return {createItem: this.create(node) }; } }, renameItem: { label: "Rename", action: function (node) { return {renameItem: this.rename(node) }; } }, deleteItem: { label: "Delete", action: function (node) { return {deleteItem: this.remove(node) }; }, "separator_after": true }, copyItem: { label: "Copy", action: function (node) { $(node).addClass("copy"); return {copyItem: this.copy(node) }; } }, cutItem: { label: "Cut", action: function (node) { $(node).addClass("cut"); return {cutItem: this.cut(node) }; } }, pasteItem: { label: "Paste", action: function (node) { $(node).addClass("paste"); return {pasteItem: this.paste(node) }; } } }; // We go over all the selected items as the context menu only takes action on the one that is right clicked $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element) { if ( $(element).attr("id") != $(node).attr("id") ) { // Let's deselect all nodes that are unrelated to the context menu -- selected but are not the one right clicked $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); } }); //if any previous click has the class for copy or cut $("#<?=$id_arr[$k]?>").find("li").each(function(index,element) { if ($(element) != $(node) ) { if( $(element).hasClass("copy") || $(element).hasClass("cut") ) control=1; } else if( $(node).hasClass("cut") || $(node).hasClass("copy")) { control=0; } }); //only remove the class for cut or copy if the current operation is to paste if($(node).hasClass("paste") ) { control=0; // Let's loop through all elements and try to find if the paste operation was done already $("#<?=$id_arr[$k]?>").find("li").each(function(index,element) { if( $(element).hasClass("copy") ) $(this).removeClass("copy"); if ( $(element).hasClass("cut") ) $(this).removeClass("cut"); if ( $(element).hasClass("paste") ) $(this).removeClass("paste"); }); } switch (control) { //Remove the paste item from the context menu case 0: switch ($(node).attr("rel")) { case "drive": delete items.renameItem; delete items.deleteItem; delete items.cutItem; delete items.copyItem; delete items.pasteItem; break; case "default": delete items.pasteItem; break; } break; //Remove the paste item from the context menu only on the node that has either copy or cut added class case 1: if( $(node).hasClass("cut") || $(node).hasClass("copy") ) { switch ($(node).attr("rel")) { case "drive": delete items.renameItem; delete items.deleteItem; delete items.cutItem; delete items.copyItem; delete items.pasteItem; break; case "default": delete items.pasteItem; break; } } else //Re-enable it on the clicked node that does not have the cut or copy class { switch ($(node).attr("rel")) { case "drive": delete items.renameItem; delete items.deleteItem; delete items.cutItem; delete items.copyItem; break; } } break; //initial state don't show the paste option on any node default: switch ($(node).attr("rel")) { case "drive": delete items.renameItem; delete items.deleteItem; delete items.cutItem; delete items.copyItem; delete items.pasteItem; break; case "default": delete items.pasteItem; break; } break; } return items; } $("#menu_<?=$id_arr[$k]?> img").hover( function () { $(this).css({'cursor':'pointer','outline':'1px double teal'}) }, function () { $(this).css({'cursor':'none','outline':'1px groove transparent'}) } ); $("#menu_<?=$id_arr[$k]?> img").click(function () { switch(this.id) { //Create only the first element case "create": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ switch(index) { case 0: $("#<?=$id_arr[$k]?>").jstree("create", '#'+$(element).attr("id"), null, /*{attr : {href: '#' }}*/null ,null, false); break; default: $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); break; } }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; //REMOVE case "remove": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ //only execute if the current node is not the first one (drive) if( $(element).attr("id") != $("div.jstree > ul > li").first().attr("id") ) { $("#<?=$id_arr[$k]?>").jstree("remove",'#'+$(element).attr("id")); } else $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; //RENAME NODE only one selection case "rename": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ if( $(element).attr("id") != $("div.jstree > ul > li").first().attr("id") ) { switch(index) { case 0: $("#<?=$id_arr[$k]?>").jstree("rename", '#'+$(element).attr("id") ); break; default: $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); break; } } else $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; //Cut case "cut": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ switch(index) { case 0: $("#<?=$id_arr[$k]?>").jstree("cut", '#'+$(element).attr("id")); $.facebox('<p class=\'p_inner teal\'>Operation "Cut" successfully done.<p class=\'p_inner teal bold\'>Where to place it?'); setTimeout(function(){ $.facebox.close(); $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id")); }, 2000); break; default: $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); break; } }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; //Copy case "copy": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ switch(index) { case 0: $("#<?=$id_arr[$k]?>").jstree("copy", '#'+$(element).attr("id")); $.facebox('<p class=\'p_inner teal\'>Operation "Copy": Successfully done.<p class=\'p_inner teal bold\'>Where to place it?'); setTimeout(function(){ $.facebox.close(); $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); }, 2000); break; default: $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); break; } }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; case "paste": if ( $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).length ) { $.jstree._reference("#<?=$id_arr[$k]?>").get_selected(false, true).each(function(index,element){ switch(index) { case 0: $("#<?=$id_arr[$k]?>").jstree("paste", '#'+$(element).attr("id")); break; default: $("#<?=$id_arr[$k]?>").jstree("deselect_node", '#'+$(element).attr("id") ); break; } }); } else { $.facebox('<p class=\'p_inner error bold\'>A selection needs to be made to work with this operation'); setTimeout(function(){ $.facebox.close(); }, 2000); } break; } }); <? } ?> server.php $path='../../../..'; require_once "$path/phpfoo/dbif.class"; require_once "$path/global.inc"; // Database config & class $db_config = array( "servername"=> $dbHost, "username" => $dbUser, "password" => $dbPW, "database" => $dbName ); if(extension_loaded("mysqli")) require_once("_inc/class._database_i.php"); else require_once("_inc/class._database.php"); //Tree class require_once("_inc/class.ctree.php"); $dbLink = new dbif(); $dbErr = $dbLink->connect($dbName,$dbUser,$dbPW,$dbHost); $jstree = new json_tree(); if(isset($_GET["reconstruct"])) { $jstree->_reconstruct(); die(); } if(isset($_GET["analyze"])) { echo $jstree->_analyze(); die(); } $table = '`discussions_tree`'; if($_REQUEST["operation"] && strpos($_REQUEST["operation"], "_") !== 0 && method_exists($jstree, $_REQUEST["operation"])) { foreach($_REQUEST as $k => $v) { switch($k) { case 'user_id': //We are passing the user_id from the $_SESSION on each request and trying to pick up the min and max value from the table that matches the 'user_id' $sql = "SELECT max(`right`) , min(`left`) FROM $table WHERE `user_id`=$v"; //If the select does not return any value then just let it be :P if (!list($right, $left)=$dbLink->getRow($sql)) { $sql = $dbLink->dbSubmit("UPDATE $table SET `user_id`=$v WHERE `id` = 1 AND `parent_id` = 0"); $sql = $dbLink->dbSubmit("UPDATE $table SET `user_id`=$v WHERE `parent_id` = 1 AND `label`='How to Tag' "); } else { $sql = $dbLink->dbSubmit("UPDATE $table SET `user_id`=$v, `right`=$right+2 WHERE `id` = 1 AND `parent_id` = 0"); $sql = $dbLink->dbSubmit("UPDATE $table SET `user_id`=$v, `left`=$left+1, `right`=$right+1 WHERE `parent_id` = 1 AND `label`='How to Tag' "); } break; } } header("HTTP/1.0 200 OK"); header('Content-type: application/json; charset=utf-8'); header("Cache-Control: no-cache, must-revalidate"); header("Expires: Mon, 26 Jul 1997 05:00:00 GMT"); header("Pragma: no-cache"); echo $jstree->{$_REQUEST["operation"]}($_REQUEST); die(); } header("HTTP/1.0 404 Not Found"); ?> The problem: DND *(Drag and Drop) works, Delete works, Create works, Rename works, but Copy, Cut and Paste don't work

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