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I have a Grid View control and use old style manual binding with a Data Source property and invoke the Data Bind() method.

If you don't use one of the Data Source controls, you are required to handle the Row Updating event.

The winner is: Statement 1, running a bulk update It looks like this: We'd get far worse results for larger tables!

The difference is much more drastic if each call to the SQL engine has to be done over the network from another process.

The code looks like this: As shown previously on this blog, there is a significant cost of JDBC server roundtrips, which can be seen in the JDBC benchmark.

This cost is much more severe if we unnecessarily create many server roundtrips for a task that could be done in a single roundtrip, namely by using a SQL bulk .

If you cannot guess which one will be much faster, remember that row-by-row kinda rhymes with "slow-by-slow" (hint, hint). I'm doing two benchmarks for this: Run 1, Statement 1 : .01457 (avg : .0098) Run 1, Statement 2 : .0133 (avg : .01291) Run 1, Statement 3 : .02351 (avg : .02519) Run 2, Statement 1 : .00882 (avg : .0098) Run 2, Statement 2 : .01159 (avg : .01291) Run 2, Statement 3 : .02348 (avg : .02519) Run 3, Statement 1 : .01012 (avg : .0098) Run 3, Statement 2 : .01453 (avg : .01291) Run 3, Statement 3 : .02544 (avg : .02519) Run 4, Statement 1 : .00799 (avg : .0098) Run 4, Statement 2 : .01346 (avg : .01291) Run 4, Statement 3 : .02958 (avg : .02519) Run 5, Statement 1 : .00749 (avg : .0098) Run 5, Statement 2 : .01166 (avg : .01291) Run 5, Statement 3 : .02396 (avg : .02519) The difference between Statement 1 and 3 is a factor of 2.5x.

Let's say we have a simple table for our blog posts (using Oracle syntax, but the effect is the same on all databases): CREATE TABLE post ( id INT NOT NULL PRIMARY KEY, text VARCHAR2(1000) NOT NULL, archived NUMBER(1) NOT NULL CHECK (archived IN (0, 1)), creation_date DATE NOT NULL ); CREATE INDEX post_creation_date_i ON post (creation_date); statement is probably better than looping over each individual row and updating each individual row explicitly. Showing the time it takes for each statement type to complete, each time updating 3649 / 10000 rows.

The result is (same time unit): Run 0, Statement 1: PT4.546S Run 0, Statement 2: PT3.52S Run 0, Statement 3: PT0.144S Run 0, Statement 4: PT0.028S Run 1, Statement 1: PT3.712S Run 1, Statement 2: PT3.185S Run 1, Statement 3: PT0.138S Run 1, Statement 4: PT0.025S Run 2, Statement 1: PT3.481S Run 2, Statement 2: PT3.007S Run 2, Statement 3: PT0.122S Run 2, Statement 4: PT0.026S Run 3, Statement 1: PT3.518S Run 3, Statement 2: PT3.077S Run 3, Statement 3: PT0.113S Run 3, Statement 4: PT0.027S Run 4, Statement 1: PT3.54S Run 4, Statement 2: PT2.94S Run 4, Statement 3: PT0.123S Run 4, Statement 4: PT0.03S The difference between Statement 1 and 4 is a factor of 100x !! Again (by far): Statement 4, running the bulk update In fact, the time is not too far away from the time taken by PL/SQL.If doing everything in a single statement isn't possible due to the limitations of SQL, we can still save roundtrips by grouping statements in a block, either by using an anonymous block in databases that support them: (You can easily send these anonymous blocks over JDBC, as well! ) Or, by emulating anonymous blocks using the JDBC batch API (has its limitations), or by writing stored procedures. Get String("Grid View_Unhandled Even t", new object[] { this. tbl Set Marks: Class, Section, Admission No, Subject ID, Subject Code, Max Marks, Marks I want to update marks inside gridview using edit command button.

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