Efficient way to do batch INSERTS with JDBC

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In my app I need to do a lot of INSERTS. Its a Java app and I am using plain JDBC to execute the queries. The DB being Oracle. I have enabled batching though, so it saves me network latencies to execute queries. But the queries execute serially as separate INSERTs:

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)

I was wondering if the following form of INSERT might be more efficient:

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

i.e. collapsing multiple INSERTs into one.

Any other tips for making batch INSERTs faster?

This is a mix of the two previous answers:

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

  ps.setString(1, "John");

  ps.setString(1, "Dave");

  int[] results = ps.executeBatch();

Efficient way to do batch INSERTS with JDBC, Let's see how we can perform batch insert in Java using JDBC APIs. Although Best idea would be to execute batch itself in batch. Check out  Batch Insert in Java & JDBC. To avoid SQL Injection as well as OutOfMemoryError. Batch Insert into Database using Java. Batch Insert in Java & JDBC. To avoid SQL Injection as well as OutOfMemoryError. Batch Insert into Database using Java. About. Contact. Privacy.

Batch Insert in Java, If you've ever tried to insert data via a JDBC connection — say to a So what can we do to improve the performance of these bulk inserts? However, let's take a look at how the connection to the database is established: try {. java - Batch inserts with JDBC and Unique constraint; java - Getting the count of results returned by a MySQL Query with JDBC in the most performance efficient way; java - JDBC prepared statement, batch insert performance improvement; java - Does JDBC adjust the Date before it inserts it into Oracle DB? How do I prevent this?

The Statement gives you the following option:

Statement stmt = con.createStatement();

stmt.addBatch("INSERT INTO employees VALUES (1000, 'Joe Jones')");
stmt.addBatch("INSERT INTO departments VALUES (260, 'Shoe')");
stmt.addBatch("INSERT INTO emp_dept VALUES (1000, 260)");

// submit a batch of update commands for execution
int[] updateCounts = stmt.executeBatch();

Performant Batch Inserts Using JDBC, to the database in one go, is faster than sending them one by one, waiting for each one to finish. Do not INSERT thousands of records one by one, re-creating a new PreparedStatement every time. If all of your records go to the same table, create a batch INSERT/UPDATE statement with a single SQL

You'll have to benchmark, obviously, but over JDBC issuing multiple inserts will be much faster if you use a PreparedStatement rather than a Statement.

4.5.3. Batch Inserts JBoss Enterprise Application Platform 5, and submit them with one call to the database. When you send several SQL statements to the database at once, you reduce the amount of communication overhead, thereby improving performance. Introduction JDBC has long been offering support for DML statement batching. By default, all statements are sent one after the other, each one in a separate network round-trip. Batching allows us to send multiple statements in one-shot, saving unnecessary socket stream flushing. Hibernate hides the database statements behind a transactional write-behind abstraction layer. An intermediate layer

You can use this rewriteBatchedStatements parameter to make the batch insert even faster.

you can read here about the param: MySQL and JDBC with rewriteBatchedStatements=true

JDBC Batch Updates, Which of the following provides batch processing methods in JDBC? create a staging table with the same structure as the target table but without the unique constraint. batch insert all rows into that staging table. The most efficient way is to use copy or use the CopyManager (although I don't know if that is already supported in your ancient driver version.

JDBC - Batch Processing, You then set the parameters using data-type-specific methods on the Once you begin a streaming batch insert, you cannot make other JDBC calls that require  Introduction Recently, one of my followers asked me to answer a question on Quora about batch processing, and, since the question was really interesting, I decided to turn it into a blog post. In this article, you are going to find out what batch processing is, why do we use it, and how to use it properly with JPA and Hibernate. Batch processing When writing an enterprise application, it’s

Batch Processing in Java JDBC, Today we will look into JDBC Batch insert and update examples in MySQL and Statement and PreparedStatement addBatch() and executeBatch() methods. One way to speed things up is to explicitly perform multiple inserts or copy's within a transaction (say 1000). Postgres's default behavior is to commit after each statement, so by batching the commits, you can avoid some overhead. As the guide in Daniel's answer says, you may have to disable autocommit for this to work.

Batch Inserts Using JDBC Prepared Statements, Learn how to execute SQL queries using the batching features of JDBC Performance and data consistency are the primary motives to do batch processing. statement.execute( "INSERT INTO EMPLOYEE(ID, NAME, DESIGNATION) implementation of the addBatch() and executeBatch() methods which  With JDBC, the simplest way to execute queries on a database is via the Statement object. First, using addBatch() we can add all SQL queries to a batch and then execute those SQL queries using executeBatch(). The return type of executeBatch() is an int array indicating how many records were affected by the execution of each SQL statement.

  • WOW! I tested your "collapse multiple inserts into one" while inserting to SQL Server, and I went from 107 rows/second to 3333 rows per second!
  • That's a stunning 31x increase.
  • This is perfect solutions as statement is prepared (parsed) only once.
  • The ps.clearParameters(); is unnecessary in this particular case.
  • Be sure to measure it. Depending on the JDBC driver's implementation this might be the expected one roundtrip per batch but can also end up being one roundtrip per statement.
  • prepareStatement/setXXX - that's the way it should be!
  • for mysql also add the following to the url: "&useServerPrepStmts=false&rewriteBatchedStatements=true"
  • Hi. Does the length of the record play a role in the time to insert ?? I have 3 Varchar columns with URIs as their values and inserting 8555 as a batch still takind ~3.5 min to insert !!
  • As per my understanding record size might matter during data transfer to database server from your application server but insertion time does not affect much. I tried in local oracle database with 3 columns of size 125 bytes and takes around (145 to 300) ms for batch of 10,000 records. Code here. While multiple transactions for 10,000 records takes 20seconds.
  • While the end result is same, in this method, multiple statements are parsed, which is much slower for bulk, in fact not much efficient than executing each statement individually. Also please use PreparedStatement whenever possible for repeated queries as they perform much better..
  • @AshishPatil: do you have any benchmarks for testing with and without PreparedStatement?
  • Whoa! After 8 years. Nevertheless, @prayagupd has given detailed stats in his answer which is much more recent. stackoverflow.com/a/42756134/372055
  • Thank you so much for this. This is really helpful when inserting data dynamically and you don't have the time to be checking the type of data a parameter is.
  • No, it won't, ever. A normal Statement (not PrepareStatement) object has to do ALL the same things a PreparedStatement does and is in fact a wrapper around PreparedStatement that actually does the prepared part as well. The difference between the two is that a Statement object silently prepares the statement and validates it every time you execute it, where as a prepared statement only does that once and then can be executed multiple times to process each item in the batch.