Using the batched statement capability of your JDBC driver can give you 7-8X throughput gains. Not only is batching significantly faster, it’ll save database CPU cycles and be easier on the network, too.

The graph below shows elapsed time (in milliseconds) by batch size. For each data point, 1K rows were inserted into a simple table in MySQL. The benchmarking code I used can be found here.


Why is batching so much faster?

First, depending on how much PreparedStatement caching your driver is doing, your database may be spending a lot of time parsing and compiling statements. After the statement is parsed and compiled, bind variables are applied. In our example, the data base will parse and compile the statement once as opposed to 1,000 times. This reduces the work your database performs and saves CPU.

Second, all bind variables are passed to the database in a single network call instead of 1,000 separate out-of-process, across-the-network calls. This helps reduce network traffic.

Third, depending on the internal architecture of your code, single statements may return the connection to a pool after every use. Multiply that by 1,000 and run a profiler and you’ll see yourself calling take/put methods a lot. Many pools also verify the connection on check-in and check-out. “select 1 from dual” is a common check for a pool to use. Your 1,000 uses of a connection may also be incurring the cost of 2,000 “select 1 from dual” statements!

When should you use batching?

Batching is particularly useful in importing scenarios where you need to get lots of data into your application quickly, but it can be used even when executing a few similar statements. Check out the example source code provided to see if batching is right for you. Fiddle with the numbers to see the gains for batching just 10 similar statements. It may not be 8X big, but trumpeting 25% gains to management is still a win for you and your team.

Use JDBC Batching!

JDBC batching can give you dramatic throughput gains while simultaneously being less abusive to your hardware. Overall, if you have the opportunity to use batch inserts and updates, you should seize that opportunity. Look at your application’s internal architecture to see if batching is right for you.