How Can I Optimize Batch INSERT Operations in JDBC for Enhanced Performance?

Optimizing Batch INSERTS with JDBC

Java applications using plain JDBC to execute INSERT queries often face performance challenges due to network latency. While batching is enabled to reduce latencies, the queries are still executed sequentially as separate INSERTs. This article explores efficient batch INSERT techniques to address this issue.

Collapsing INSERTs

Consider the following scenario:

insert into some_table (col1, col2) values (val1, val2)
insert into some_table (col1, col2) values (val3, val4)
insert into some_table (col1, col2) values (val5, val6)

One optimization approach is to collapse multiple INSERTs into a single query:

insert into some_table (col1, col2) values (val1, val2), (val3, val4), (val5, val6)

By combining INSERTs, fewer network round-trips are required, resulting in improved performance.

Using PreparedStatements

Another key technique is utilizing PreparedStatements to cache the query plan. The following code demonstrates its use in a batch INSERT operation:

PreparedStatement ps = c.prepareStatement("INSERT INTO employees VALUES (?, ?)");

ps.setString(1, "John");
ps.setString(2, "Doe");
ps.addBatch();

ps.clearParameters();
ps.setString(1, "Dave");
ps.setString(2, "Smith");
ps.addBatch();

ps.clearParameters();
int[] results = ps.executeBatch();

Additional Tips

• Use auto-incrementing keys: Oracle supports primary key columns that automatically generate unique IDs. This eliminates the need for manual key generation and simplifies the INSERT process.
• Tune the database: Parameters such as the buffer cache size and connection pool settings can impact INSERT performance. Optimize these settings based on your workload.

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