I have written a Node.js application that writes lots of records to a PostgreSQL 9.6 database. Unfortunately, it feels quite slow. To be able to test things I have created a short but complete program that reproduces the scenario:
我编写了一个Node.js应用程序,它将大量记录写入PostgreSQL 9.6数据库。不幸的是,感觉很慢。为了能够测试我创建了一个简短但完整的程序来重现场景:
'use strict';
const async = require('async'),
pg = require('pg'),
uuid = require('uuidv4');
const pool = new pg.Pool({
protocol: 'pg',
user: 'golo',
host: 'localhost',
port: 5432,
database: 'golo'
});
const records = [];
for (let i = 0; i < 10000; i++) {
records.push({ id: uuid(), revision: i, data: { foo: 'bar', bar: 'baz' }, flag: true });
}
pool.connect((err, database, close) => {
if (err) {
/* eslint-disable no-console */
return console.log(err);
/* eslint-enable no-console */
}
database.query(`
CREATE TABLE IF NOT EXISTS "foo" (
"position" bigserial NOT NULL,
"id" uuid NOT NULL,
"revision" integer NOT NULL,
"data" jsonb NOT NULL,
"flag" boolean NOT NULL,
CONSTRAINT "foo_pk" PRIMARY KEY("position"),
CONSTRAINT "foo_index_id_revision" UNIQUE ("id", "revision")
);
`, errQuery => {
if (errQuery) {
/* eslint-disable no-console */
return console.log(errQuery);
/* eslint-enable no-console */
}
async.series({
beginTransaction (done) {
/* eslint-disable no-console */
console.time('foo');
/* eslint-enable no-console */
database.query('BEGIN', done);
},
saveRecords (done) {
async.eachSeries(records, (record, doneEach) => {
database.query({
name: 'save',
text: `
INSERT INTO "foo"
("id", "revision", "data", "flag")
VALUES
($1, $2, $3, $4) RETURNING position;
`,
values: [ record.id, record.revision, record.data, record.flag ]
}, (errQuery2, result) => {
if (errQuery2) {
return doneEach(errQuery2);
}
record.position = Number(result.rows[0].position);
doneEach(null);
});
}, done);
},
commitTransaction (done) {
database.query('COMMIT', done);
}
}, errSeries => {
/* eslint-disable no-console */
console.timeEnd('foo');
/* eslint-enable no-console */
if (errSeries) {
return database.query('ROLLBACK', errRollback => {
close();
if (errRollback) {
/* eslint-disable no-console */
return console.log(errRollback);
/* eslint-enable no-console */
}
/* eslint-disable no-console */
console.log(errSeries);
/* eslint-enable no-console */
});
}
close();
/* eslint-disable no-console */
console.log('Done!');
/* eslint-enable no-console */
});
});
});
The performance I get for inserting 10.000 rows is 2.5 seconds. This is not bad, but also not great. What can I do to improve speed?
插入10.000行的性能是2.5秒。这不错,但也不是很好。我该怎么做才能提高速度?
Some thoughts that I had so far:
到目前为止我有些想法:
- Use prepared statements. As you can see I have done this, this speeded up things by ~30 %.
- 使用准备好的陈述正如你所看到的,我已经做到了这一点,这加速了大约30%。
- Insert multiple rows at once using a single
INSERT
command. Unfortunately, this is not possible, as in reality, the number of records that need to be written varies from call to call and a varying number of arguments makes it impossible to use prepared statements. - 使用单个INSERT命令一次插入多行。不幸的是,这是不可能的,因为实际上,需要写入的记录数量因呼叫而异,并且不同数量的参数使得无法使用预准备语句。
- Use
COPY
instead ofINSERT
: I can't use this, since this happens at runtime, not at initialization time. - 使用COPY代替INSERT:我不能使用它,因为这发生在运行时,而不是在初始化时。
- Use
text
instead ofjsonb
: Didn't change a thing. - 使用文本而不是jsonb:没有改变一件事。
- Use
json
instead ofjsonb
: Didn't change a thing either. - 使用json而不是jsonb:也没有改变一件事。
A few more notes on the data that happens in reality:
关于现实中发生的数据的更多说明:
- The
revision
is not necessarily increasing. This is just a number. - 修订不一定会增加。这只是一个数字。
- The
flag
is not alwaystrue
, it can betrue
andfalse
as well. - 标志并不总是正确的,它也可以是真的和假的。
- Of course the
data
field contains different data, too. - 当然,数据字段也包含不同的数据。
So in the end it comes down to:
所以最后归结为:
- What possibilities are there to significantly speed up multiple single calls to
INSERT
? - 什么样的可能性可以显着加快对INSERT的多次单次调用?
1 个解决方案
#1
3
Insert multiple rows at once using a single INSERT command. Unfortunately, this is not possible, as in reality, the number of records that need to be written varies from call to call and a varying number of arguments makes it impossible to use prepared statements.
使用单个INSERT命令一次插入多行。不幸的是,这是不可能的,因为实际上,需要写入的记录数量因呼叫而异,并且不同数量的参数使得无法使用预准备语句。
This is the right answer, followed by an invalid counter-argument.
这是正确的答案,然后是无效的反驳。
You can generate your multi-row inserts in a loop, with some 1000 - 10,000 records per query, depending on the size of the records.
您可以在循环中生成多行插入,每个查询大约1000 - 10,000条记录,具体取决于记录的大小。
And you do not need prepared statements for this at all.
而且你根本不需要准备好的陈述。
See this article I wrote about the same issues: Performance Boost.
看到这篇文章我写了同样的问题:Performance Boost。
Following the article, my code was able to insert 10,000 records in under 50ms.
在这篇文章之后,我的代码能够在50ms内插入10,000条记录。
A related question: Multi-row insert with pg-promise.
一个相关的问题:带有pg-promise的多行插入。
#1
3
Insert multiple rows at once using a single INSERT command. Unfortunately, this is not possible, as in reality, the number of records that need to be written varies from call to call and a varying number of arguments makes it impossible to use prepared statements.
使用单个INSERT命令一次插入多行。不幸的是,这是不可能的,因为实际上,需要写入的记录数量因呼叫而异,并且不同数量的参数使得无法使用预准备语句。
This is the right answer, followed by an invalid counter-argument.
这是正确的答案,然后是无效的反驳。
You can generate your multi-row inserts in a loop, with some 1000 - 10,000 records per query, depending on the size of the records.
您可以在循环中生成多行插入,每个查询大约1000 - 10,000条记录,具体取决于记录的大小。
And you do not need prepared statements for this at all.
而且你根本不需要准备好的陈述。
See this article I wrote about the same issues: Performance Boost.
看到这篇文章我写了同样的问题:Performance Boost。
Following the article, my code was able to insert 10,000 records in under 50ms.
在这篇文章之后,我的代码能够在50ms内插入10,000条记录。
A related question: Multi-row insert with pg-promise.
一个相关的问题:带有pg-promise的多行插入。