In this post we will see how to select records using queryForObject, queryForList, BeanPropertyRowMapper in Spring JdbcTemplate.Here we will create annotation based example. Aug 17, 2020 A single JdbcTemplate query operation may not fit in all situations. In this guide we have covered several examples on Spring JdbcTemplate query, queryForObject, queryForList, queryForMap, queryForRowSet operations to understand how to use them depends on requirement. In Short: query – is used to get multiple rows results as list.
I’m trying to find the faster way to do batch insert.
I tried to insert several batches with jdbcTemplate.update(String sql), where
sql was builded by StringBuilder and looks like:
sql was builded by StringBuilder and looks like:
Batch size was exactly 1000. I inserted nearly 100 batches.
I checked the time using StopWatch and found out insert time:
I checked the time using StopWatch and found out insert time:
I was glad but I wanted to make my code better.
After that, I tried to use jdbcTemplate.batchUpdate in way like:
where sql was look like
and I was disappointed! jdbcTemplate executed every single insert of 1000 lines batch in separated way. I loked at mysql_log and found there a thousand inserts.
I checked the time using StopWatch and found out insert time:
I checked the time using StopWatch and found out insert time:
min[900ms], avg[1100ms], max[2000ms] per Batch
So, can anybody explain to me, why jdbcTemplate doing separated inserts in this method? Why method’s name is batchUpdate?
Or may be I am using this method in wrong way?
Or may be I am using this method in wrong way?
Answers:
These parameters in the JDBC connection URL can make a big difference in the speed of batched statements — in my experience, they speed things up:
?useServerPrepStmts=false&rewriteBatchedStatements=true
See: JDBC batch insert performance
Answers:
I have also faced the same issue with Spring JDBC template. Probably with Spring Batch the statement was executed and committed on every insert or on chunks, that slowed things down.
I have replaced the jdbcTemplate.batchUpdate() code with original JDBC batch insertion code and found the Major performance improvement.
Check this link as well
JDBC batch insert performance
JDBC batch insert performance
Answers:
Change your sql insert to
For example:
INSERT INTO TABLE(x, y, i) VALUES(1,2,3)
. The framework creates a loop for you.For example:
IF you have something like this. Spring will do something like:
The framework first creates PreparedStatement from the query (the
You can take a look at http://docs.spring.io/spring/docs/3.0.x/reference/jdbc.html
sql
variable) then the setValues method is called and the statement is executed. that is repeated as much times as you specify in the getBatchSize()
method. So the right way to write the insert statement is with only one values clause.You can take a look at http://docs.spring.io/spring/docs/3.0.x/reference/jdbc.html
Answers:
Simply use transaction. Add @Transactional on method.
Be sure to declare the correct TX manager if using several datasources @Transactional(“dsTxManager”). I have a case where inserting 60000 records. It takes about 15s. No other tweak:
Answers:
I don’t know if this will work for you, but here’s a Spring-free way that I ended up using. It was significantly faster than the various Spring methods I tried. I even tried using the JDBC template batch update method the other answer describes, but even that was slower than I wanted. I’m not sure what the deal was and the Internets didn’t have many answers either. I suspected it had to do with how commits were being handled.
This approach is just straight JDBC using the java.sql packages and PreparedStatement’s batch interface. This was the fastest way that I could get 24M records into a MySQL DB.
I more or less just built up collections of “record” objects and then called the below code in a method that batch inserted all the records. The loop that built the collections was responsible for managing the batch size.
I was trying to insert 24M records into a MySQL DB and it was going ~200 records per second using Spring batch. When I switched to this method, it went up to ~2500 records per second. so my 24M record load went from a theoretical 1.5 days to about 2.5 hours.
First create a connection…
Then create a prepared statement and load it with batches of values for insert, and then execute as a single batch insert…
Obviously I’ve removed error handling and the query and Record object is notional and whatnot.
Edit:
Since your original question was comparing the insert into foobar values (?,?,?), (?,?,?)…(?,?,?) method to Spring batch, here’s a more direct response to that:
Since your original question was comparing the insert into foobar values (?,?,?), (?,?,?)…(?,?,?) method to Spring batch, here’s a more direct response to that:
It looks like your original method is likely the fastest way to do bulk data loads into MySQL without using something like the “LOAD DATA INFILE” approach. A quote from the MysQL docs (http://dev.mysql.com/doc/refman/5.0/en/insert-speed.html):
If you are inserting many rows from the same client at the same time,
use INSERT statements with multiple VALUES lists to insert several
rows at a time. This is considerably faster (many times faster in some
cases) than using separate single-row INSERT statements.
use INSERT statements with multiple VALUES lists to insert several
rows at a time. This is considerably faster (many times faster in some
cases) than using separate single-row INSERT statements.
You could modify the Spring JDBC Template batchUpdate method to do an insert with multiple VALUES specified per ‘setValues’ call, but you’d have to manually keep track of the index values as you iterate over the set of things being inserted. And you’d run into a nasty edge case at the end when the total number of things being inserted isn’t a multiple of the number of VALUES lists you have in your prepared statement.
If you use the approach I outline, you could do the same thing (use a prepared statement with multiple VALUES lists) and then when you get to that edge case at the end, it’s a little easier to deal with because you can build and execute one last statement with exactly the right number of VALUES lists. It’s a bit hacky, but most optimized things are.
Answers:
I found a major improvement setting the argTypes array in the call.
In my case, with Spring 4.1.4 and Oracle 12c, for insertion of 5000 rows with 35 fields:
The argTypes param is an int array where you set each field in this way:
I debugged orgspringframeworkjdbccoreJdbcTemplate.java and found that most of the time was consumed trying to know the nature of each field, and this was made for each record.
Hope this helps !
Tags: date, spring
Introduction
The JdbcTemplate class executes SQL queries, update statements and stored procedure calls, performs iteration over ResultSets and extraction of returned parameter values. It also catches JDBC exceptions and translates them to the generic, more informative, exception hierarchy defined in the org.springframework.dao package.
Instances of the JdbcTemplate class are threadsafe once configured so it can be safely inject this shared reference into multiple DAOs.
Basic Query methods
Some of the queryFor* methods available in JdbcTemplate are useful for simple sql statements that perform CRUD operations.
Querying for Date
Querying for Integer
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Querying for String
Querying for List
Batch operations
JdbcTemplate also provides convenient methods to execute batch operations.
Batch Insert
Batch Update
There are further batchUpdate methods which accept List of object array as input parameters. These methods internally use BatchPreparedStatementSetter to set the values from the list of arrays into sql statement.
NamedParameterJdbcTemplate extension of JdbcTemplate
The
NamedParameterJdbcTemplate
class adds support for programming JDBC statements using named parameters, as opposed to programming JDBC statements using only classic placeholder ( '?') arguments. The NamedParameterJdbcTemplate
class wraps a JdbcTemplate
, and delegates to the wrapped JdbcTemplate
to do much of its work.Query for List of Maps
SQLRowSet
Jdbctemplate Batch Update
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