PostgreSQL数据加载工具之pg

  PostgreSQL提供了一个copy命令的便利数据加载工具,copy命令源于PostgreSQL数据库,copy命令支持文件与表之间的数据加载和表对文件的数据卸载。pg_bulkload是一种用于PostgreSQL的高速数据加载工具,相比copy命令。最大的优势就是速度。优势在让我们跳过shared buffer,wal buffer。直接写文件。pg_bulkload的direct模式就是这种思路来实现的,它还包含了数据恢复功能,即导入失败的话,需要恢复。

2. pg_bulkload架构图

  pg_bulkload主要包括两个模块:reader和writer。reader负责读取文件、解析tuple,writer负责把解析出的tuple写入输出源中。pg_bulkload最初的版本功能很简单,只是加载数据。3.1版本增加了数据过滤的功能。

PostgreSQL数据加载工具之pg

3. pg_bulkload安装

[root@Postgres201 ~]# unzip pg_bulkload-VERSION3_1_10.zip
[root@Postgres201 ~]# cd pg_bulkload-VERSION3_1_10
[root@Postgres201 pg_bulkload-VERSION3_1_10]# make
[root@Postgres201 pg_bulkload-VERSION3_1_10]# make install

安装完成;要使用它需要建extension

[postgres@Postgres201 ~]$ psql lottu lottu
psql (9.6.0)
Type "help" for help.
lottu=# create extension pg_bulkload;
CREATE EXTENSION

4. pg_bulkload参数

[postgres@Postgres201 ~]$ pg_bulkload --help
pg_bulkload is a bulk data loading tool for PostgreSQL
Usage:
  Dataload: pg_bulkload [dataload options] control_file_path
  Recovery: pg_bulkload -r [-D DATADIR]
Dataload options:
  -i, --input=INPUT        INPUT path or function
  -O, --output=OUTPUT      OUTPUT path or table
  -l, --logfile=LOGFILE    LOGFILE path
  -P, --parse-badfile=*    PARSE_BADFILE path
  -u, --duplicate-badfile=* DUPLICATE_BADFILE path
  -o, --option="key=val"    additional option
Recovery options:
  -r, --recovery            execute recovery
  -D, --pgdata=DATADIR      database directory
Connection options:
  -d, --dbname=DBNAME      database to connect
  -h, --host=HOSTNAME      database server host or socket directory
  -p, --port=PORT          database server port
  -U, --username=USERNAME  user name to connect as
  -w, --no-password        never prompt for password
  -W, --password            force password prompt
Generic options:
  -e, --echo                echo queries
  -E, --elevel=LEVEL        set output message level
  --help                    show this help, then exit
  --version                output version information, then exit

5. pg_bulkload的使用

  创建测试表tbl_lottu和测试文件tbl_lottu_output.txt

[postgres@Postgres201 ~]$ psql lottu lottu
psql (9.6.0)
Type "help" for help.
lottu=# create table tbl_lottu(id int,name text);
CREATE TABLE
[postgres@Postgres201 ~]$  seq 100000| awk '{print $0"|lottu"}' > tbl_lottu_output.txt


1.不使用控制文件使用参数

[postgres@Postgres201 ~]$ pg_bulkload -i /home/postgres/tbl_lottu_output.txt -O tbl_lottu -l /home/postgres/tbl_lottu_output.log -P /home/postgres/tbl_lottu_bad.txt  -o "TYPE=CSV" -o "DELIMITER=|" -d lottu -U lottu
NOTICE: BULK LOAD START
NOTICE: BULK LOAD END
 0 Rows skipped.
 100000 Rows successfully loaded.
 0 Rows not loaded due to parse errors.
 0 Rows not loaded due to duplicate errors.
 0 Rows replaced with new rows.
[postgres@Postgres201 ~]$ cat tbl_lottu_output.log
pg_bulkload 3.1.9 on 2018-07-12 13:37:18.326685+08
INPUT = /home/postgres/tbl_lottu_output.txt
PARSE_BADFILE = /home/postgres/tbl_lottu_bad.txt
LOGFILE = /home/postgres/tbl_lottu_output.log
LIMIT = INFINITE
PARSE_ERRORS = 0
CHECK_CONSTRAINTS = NO
TYPE = CSV
SKIP = 0
DELIMITER = |
QUOTE = "\""
ESCAPE = "\""
NULL =
OUTPUT = lottu.tbl_lottu
MULTI_PROCESS = NO
VERBOSE = NO
WRITER = DIRECT
DUPLICATE_BADFILE = /data/postgres/data/pg_bulkload/20180712133718_lottu_lottu_tbl_lottu.dup.csv
DUPLICATE_ERRORS = 0
ON_DUPLICATE_KEEP = NEW
TRUNCATE = NO
  0 Rows skipped.
  100000 Rows successfully loaded.
  0 Rows not loaded due to parse errors.
  0 Rows not loaded due to duplicate errors.
  0 Rows replaced with new rows.
Run began on 2018-07-12 13:37:18.326685+08
Run ended on 2018-07-12 13:37:18.594494+08
CPU 0.14s/0.07u sec elapsed 0.27 sec

  2. 导入之前先清理表数据

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