分类目录归档:PostgreSQL

PostgreSQL恢复工具—pdu工具介绍

张晨同学开发了一个PostgreSQL数据恢复工具PDU(PDU: Postgresql Data Rescue Tool),我这边配合做一些测试
使用帮助命令

PDU.public=# ;

PDU数据拯救工具 | 命令帮助
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
**基础操作**
b;                                      │ 初始化数据库元信息
exit;                                   │ 退出工具

**数据库切换**
use <db>;                               │ 指定目标数据库 (例: use logs;)
set <schema>;                           │ 指定操作模式 (例: set recovery;)

**元数据展示**
\l;                                     │ 列出所有数据库
\dn;                                    │ 显示当前数据库模式
\dt;                                    │ 列出当前模式下的表
\d+ <table>;                            │ 查看表结构详情 (例: \d+ users;)
\d <table>;                             │ 查看表列类型 (例: \d users;)

**数据导出**
unload <table>;                         │ 导出表数据 → ./<表名>.csv (例: unload orders;)
unload SCH;                             │ 导出当前模式所有数据
unload DDL;                             │ 生成模式结构定义文件
unload COPY;                            │ 生成PSQL COPY语句脚本

**误删数据恢复**
scan t1;                                │ 扫描被误删的表
restore del <Tx Number>;                │ 通过事务号恢复被误删的数据
--------------------------------------------------------------------------------------
scan drop;                              │ 扫描wal日志中的drop事务
restore drop <Tx Number>;               │ 通过事务号恢复被drop的表
add <oid> <tablename> <attibutes>;      │ 将表信息手动添加到restore库中
例如: <add 12345 t1 varchar,varchar,timestamp,varchar,numeric,varchar,varchar,varchar,numeric;>

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
语法规则
◈ 指令后缀必须带 `;`

加载PostgreSQL元数据

PDU.public=# b;
开始初始化...
 -pg_database:</var/lib/pgsql/12/data/global/1262>
    【postgres】
      -pg_schema:</var/lib/pgsql/12/data/base/14399/2615>
      -pg_class:</var/lib/pgsql/12/data/base/14399/1259>,共55行
      -pg_attribute:</var/lib/pgsql/12/data/base/14399/1249>,共2913行
      模式:
        -->public,2张表
    【his5_dms】
      -pg_schema:</var/lib/pgsql/12/data/base/16386/2615>
      -pg_class:</var/lib/pgsql/12/data/base/16386/1259>,共793行
      -pg_attribute:</var/lib/pgsql/12/data/base/16386/1249>,共31329行
      模式:
        -->public,660张表
        -->hiscrm,55张表
        -->pgagent,8张表
        -->report,7张表
        -->statistics,10张表

查看当前有哪些库

PDU.public=# \l;
|------------------|
|     数据库名     |
|------------------|
|    postgres      |
|    template1     |
|    template0     |
|    his5_dms      |
|    restore       |
|------------------|

      5 rows selected

进入某个库

PDU.public=# use his5_dms;
|----------------------------------------|
|          模式             |  表数量    |
|----------------------------------------|
|    public                 |  660       |
|    hiscrm                 |  55        |
|    pgagent                |  8         |
|    report                 |  7         |
|    statistics             |  10        |
|----------------------------------------|

进入某个模式

his5_dms.public=# set hiscrm;
|--------------------------------------------------|
|               表名                  |  表大小    |
|--------------------------------------------------|
|    t_patient_other                  |  600.00 KB |
|    t_sys_oper_log                   |  88.00 KB  |
|    t_auth                           |  88.00 KB  |
|    t_setting_user                   |  56.00 KB  |
|    t_field_define                   |  32.00 KB  |
|    t_oper_log                       |  16.00 KB  |
|    t_role                           |  16.00 KB  |
|    t_sys_login_log                  |  8.00 KB   |
|    t_appointment_item               |  8.00 KB   |
|    t_clinic                         |  8.00 KB   |
|    t_dept                           |  8.00 KB   |
|    t_employee                       |  8.00 KB   |
|    t_menu                           |  8.00 KB   |
|    t_patient_label                  |  8.00 KB   |
|    t_patient_label_detail_tpl       |  8.00 KB   |
|    t_patient_source_ref             |  8.00 KB   |
|    t_return_visit_tpl               |  8.00 KB   |
|    t_setting_clinic                 |  8.00 KB   |
|    t_setting_notify                 |  8.00 KB   |
|    t_sms_template_category          |  8.00 KB   |
|--------------------------------------------------|

        仅显示表大小排名前 50 的表名

显示部分表

his5_dms.hiscrm=# \dt;
|--------------------------------------------------|
|               表名                  |  表大小    |
|--------------------------------------------------|
|    t_patient_other                  |  600.00 KB |
|    t_sys_oper_log                   |  88.00 KB  |
|    t_auth                           |  88.00 KB  |
|    t_setting_user                   |  56.00 KB  |
|    t_field_define                   |  32.00 KB  |
|    t_oper_log                       |  16.00 KB  |
|    t_role                           |  16.00 KB  |
|    t_sys_login_log                  |  8.00 KB   |
|    t_appointment_item               |  8.00 KB   |
|    t_clinic                         |  8.00 KB   |
|    t_dept                           |  8.00 KB   |
|    t_employee                       |  8.00 KB   |
|    t_menu                           |  8.00 KB   |
|    t_patient_label                  |  8.00 KB   |
|    t_patient_label_detail_tpl       |  8.00 KB   |
|    t_patient_source_ref             |  8.00 KB   |
|    t_return_visit_tpl               |  8.00 KB   |
|    t_setting_clinic                 |  8.00 KB   |
|    t_setting_notify                 |  8.00 KB   |
|    t_sms_template_category          |  8.00 KB   |
|--------------------------------------------------|

        仅显示表大小排名前 50 的表名

显示某个表的信息

his5_dms.hiscrm=# \d+ t_auth;
----------------------------------------------------------------
|                            建表语句                           |
----------------------------------------------------------------
   CREATE TABLE t_auth (
        id                       bigint,
        clinic_id                bigint,
        group_id                 bigint,
        parient_id               varchar(64),
        menu_id                  varchar(64),
        auth_key                 varchar(60),
        auth_name                varchar(64),
        uris                     varchar,
        rely                     varchar(255),
        state                    bigint,
        sort                     bigint,
        tag                      bigint,
        explain                  varchar(255),
        desc                     varchar(255)
   );
----------------------------------------------------------------
|                                                              |
----------------------------------------------------------------
his5_dms.hiscrm=# \d t_auth;
----------------------------------------------------------------
|                            列类型                             |
----------------------------------------------------------------
bigint,bigint,bigint,varchar,varchar,varchar,varchar,varchar,varchar,bigint,bigint,bigint,varchar,varchar

恢复表数据

his5_dms.hiscrm=# unload t_auth;
正在解析表 <t_auth>. 已解析数据页: 11, 已解析数据: 492 条
<t_auth>-</var/lib/pgsql/12/data/base/16386/16895> 解析完成, 12 个数据页 ,共计 492 条数据. 成功 492 条; 失败【0】条 
 COPY文件路径为:<his5_dms/hiscrm/t_auth.csv>

确认恢复表的数据情况

[root@xifenfeidg hiscrm]# wc -l t_auth.csv
492 t_auth.csv

QQ20250228-224837


PostgreSQL中查询表实际数据情况

his5_dms=# select count(1) from hiscrm.t_auth;
 count 
-------
   492
(1 row)
is5_dms=# \d hiscrm.t_auth;
                                Table "hiscrm.t_auth"
   Column   |          Type          | Collation | Nullable |         Default         
------------+------------------------+-----------+----------+-------------------------
 id         | bigint                 |           | not null | 
 clinic_id  | bigint                 |           |          | 
 group_id   | bigint                 |           |          | 
 parient_id | character varying(64)  |           | not null | 
 menu_id    | character varying(64)  |           | not null | 
 auth_key   | character varying(60)  |           | not null | 
 auth_name  | character varying(64)  |           | not null | 
 uris       | text                   |           | not null | 
 rely       | character varying(255) |           |          | NULL::character varying
 state      | bigint                 |           | not null | 
 sort       | bigint                 |           | not null | 
 tag        | bigint                 |           |          | '0'::bigint
 explain    | character varying(255) |           |          | NULL::character varying
 desc       | character varying(255) |           |          | NULL::character varying

truncate表

his5_dms=# truncate table hiscrm.t_auth;
TRUNCATE TABLE
his5_dms=# select count(1) from hiscrm.t_auth;
 count 
-------
     0
(1 row)

导入数据,并验证恢复效果

his5_dms=# \i /tmp/pdu/his5_dms/COPY/hiscrm_copy.sql 
SET
COPY 492
his5_dms=# select count(1) from  hiscrm.t_auth;
 count 
-------
   492
(1 row)

通过验证pdu可以在数据库离线的情况下,恢复PostgreSQL数据库中表的数据,更加方便和灵活的实现替代pg_filedump功能,而且pdu还在不断完善和新功能更新中

发表在 PostgreSQL恢复 | 标签为 , , | 留下评论

PostgreSQL解析wal日志之—walminer

在oracle数据库中可以通过logminer实现对归档日志的解析,从而分析执行sql语句和undo sql,可以实现某些情况下数据库一些操作的定位(比如日志突然增加,数据突然丢失)以及一些故障的恢复(比如需要把update/delete执行的数据找回)等。在PostgreSQL数据库中walminer可以实现该需求,对pg的预写式日志(wal)的解析,具体见官网:https://gitee.com/movead/XLogMiner/
walminer安装

[postgres@localhost tmp]$ ls -l walminer_x86_64_centos_v4.6.0.tar.gz
-rw-r--r--. 1 root root 3866437 Apr 18 10:08 walminer_x86_64_centos_v4.6.0.tar.gz
[postgres@localhost tmp]$ tar xzvf walminer_x86_64_centos_v4.6.0.tar.gz 
walminer_x86_64_centos_v4.6.0/
walminer_x86_64_centos_v4.6.0/bin/
walminer_x86_64_centos_v4.6.0/bin/walminer
walminer_x86_64_centos_v4.6.0/lib/
walminer_x86_64_centos_v4.6.0/lib/libpq.so.5.15
walminer_x86_64_centos_v4.6.0/lib/libpq.so.5
walminer_x86_64_centos_v4.6.0/lib/libpq.so
walminer_x86_64_centos_v4.6.0/share/
…………
[root@localhost ~]# mkdir -p /usr/local/walminer/
[root@localhost ~]# chown postgres:postgres  /usr/local/walminer/
[root@localhost ~]# cp /tmp/walminer/walminer.license /usr/local/walminer/
[postgres@localhost bin]$ cd /tmp/walminer
[postgres@localhost walminer]$ cp -rp * /usr/local/walminer/
[postgres@localhost bin]$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/walminer/
[postgres@localhost bin]$ cd /usr/local/walminer/bin
[postgres@localhost bin]$ ./walminer  help
walminer [command] [options]
COMMANDS
---------
#wal2sql
  options
    -D dic file for miner
    -a out detail info for catalog change
    -w wal file path to miner
    -t dest of miner result(1 stdout, 2 file, 3 db)(stdout default)
    -k boundary kind(1 all, 2 lsn, 3 time, 4 xid)(all default)
    -m miner mode(0 nomal miner, 1 accurate miner)(nomal default) if k=2
    -r the relname for single table miner 
    -s start location if k=2 or k=3, or xid if k = 4 
          if k=2 default the min lsn of input wals   
          if k=3 or k=4 you need input this
    -e end wal location if k=2 or k=3
          if k=2 default the max lsn of input wals   
          if k=3 you need input this
    -f file to store miner result if t = 2
    -d target database name if t=3(default postgres)
    -h target database host if t=3(default localhost)
    -p target database port if t=3(default 5432)
    -u target database user if t=3(default postgres)
    -W target user password if t=3
---------
#builtdic
  options
    -d target database name for connect(default postgres)
    -h target database host(default localhost)
    -p target database port(default 5432)
    -u target database user(default postgres)
    -W target user password
    -D dic produce path
    -f rewrite walminer dic if exists
    -s only database pointed by -d
---------
#showdic
  options
    -D dic file to show
---------
#avatardic
  options
    -r avatar rel that new created
    -n avatared relfilenode
    -D avatared walminer dic path
    -b target database name which contain rel pointed by -r
---------
#regress(not support for user)
  options
    -w test database wal path(default postgres)
    -d test database name(default postgres)
    -h test database host(default localhost)
    -p test database port(default 5432)
    -u test database user(default postgres)
    -P apply database port 
    -W test user password
---------
#fosync
  options
    -D dic file for miner
    -w wal file path to miner
    -t dest of miner result(1 stdout, 2 file, 3 db, 4 apply)(stdout default)
    -f file to store miner result if t = 2
    -l lsn it start fync
    -d target database name if t=3 or 4(default postgres)
    -h target database host if t=3 or 4(default localhost)
    -p target database port if t=3 or 4(default 5432)
    -u target database user if t=3 or 4(default postgres)
    -W target user password if t=3 or 4
---------
#pgto
  options
    -c configure path
    -i to init a CDC configure
    -r to run a CDC configure
    Below is needed when -i
    -d source database name(default postgres)
    -h source database host(default localhost)
    -p source database port(default 5432)
    -u source database user(default postgres)
    -w source user password
    -D target database name
    -H target database host
    -P target database port
    -U target database user
    -W target user password
    -K target database type(1 postgres) (support postgres only currently)
    -s slot name need for CDC
---------
#waldump
  options
    -D dic file for miner
    -w wal file path to dump
    -t dest of miner result(1 stdout, 2 file)(stdout default)
    -s start lsn to dump
    -e end lsn to dump
    -f file to store miner result if t = 2
    -v verbose
---------
#################################################

[postgres@localhost bin]$ 

postgresql创建测试表和插入数据

[postgres@localhost ~]$ psql
psql (16.2)
Type "help" for help.

postgres=# select now();
              now              
-------------------------------
 2024-04-25 10:48:00.602067-04
(1 row)

postgres=# 
postgres=# create table t_walminer(id int,name varchar(100));
CREATE TABLE
postgres=# insert into t_walminer values(1,'www.xifenfei.com');
INSERT 0 1
postgres=# insert into t_walminer values(2,'www.orasos.com');
INSERT 0 1
postgres=# insert into t_walminer values(3,'xifenfei');
INSERT 0 1
postgres=# select * from t_walminer;
 id |       name       
----+------------------
  1 | www.xifenfei.com
  2 | www.orasos.com
  3 | xifenfei
(3 rows)

postgres=# select now();
              now              
-------------------------------
 2024-04-25 10:49:47.036881-04
(1 row)
postgres=# select pg_switch_wal();
 pg_switch_wal 
---------------
 0/D5023E8
(1 row)

walminer 生成字典

[postgres@localhost bin]$ ./walminer builtdic -D /usr/local/walminer/xifenfei.dic
#################################################
Walminer for PostgreSQL wal
Contact Author by mail 'lchch1990@sina.cn'
Persional License for posgress
#################################################
DIC INFO#
sysid:7357852038421105818 timeline:1 dbversion:160002 walminer:4.6

walminer解析这个时间段wal操作

[postgres@localhost bin]$  ./walminer wal2sql -D /usr/local/walminer/xifenfei.dic -w /pg/database/data/pg_arch \
 -k 3 -s 2024-04-24 -e 2024-04-26
#################################################
Walminer for PostgreSQL wal
Contact Author by mail 'lchch1990@sina.cn'
Persional License for posgress
#################################################
Switch wal to /pg/database/data/pg_arch/000000010000000000000001 on time 2024-04-25 23:27:07.42721+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000002 on time 2024-04-25 23:27:07.45369+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000003 on time 2024-04-25 23:27:07.453891+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000004 on time 2024-04-25 23:27:07.486403+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000005 on time 2024-04-25 23:27:07.513144+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000006 on time 2024-04-25 23:27:07.538212+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000007 on time 2024-04-25 23:27:07.561455+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000008 on time 2024-04-25 23:27:07.584488+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000009 on time 2024-04-25 23:27:07.606598+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000A on time 2024-04-25 23:27:07.609195+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000B on time 2024-04-25 23:27:07.609344+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000C on time 2024-04-25 23:27:07.609364+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000D on time 2024-04-25 23:27:07.66233+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000E on time 2024-04-25 23:27:07.684666+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000F on time 2024-04-25 23:27:07.684877+08
Switch wal to /pg/database/data/pg_arch/000000010000000000000001 on time 2024-04-25 23:27:07.684899+08
Get start lsn 0/d4eb380 for time range
Switch wal to /pg/database/data/pg_arch/00000001000000000000000D on time 2024-04-25 23:27:07.694947+08
[XID]=425507, [TOPXID]=0
[SQLNO]=1
[SQL]=INSERT INTO public.t_walminer(id ,name) VALUES(1 ,'www.xifenfei.com')
[UNDO]=DELETE FROM public.t_walminer WHERE id=1 AND name='www.xifenfei.com'
[database]=postgres
[COMPLETE]=true
[LSN]=0/d5021c8
[COMMITLSN]=0/d502218
[COMMITTIME]=2024-04-25 22:48:55.775279+08
------------------------------------------------------
[XID]=425508, [TOPXID]=0
[SQLNO]=1
[SQL]=INSERT INTO public.t_walminer(id ,name) VALUES(2 ,'www.orasos.com')
[UNDO]=DELETE FROM public.t_walminer WHERE id=2 AND name='www.orasos.com'
[database]=postgres
[COMPLETE]=true
[LSN]=0/d502278
[COMMITLSN]=0/d5022c8
[COMMITTIME]=2024-04-25 22:49:10.769752+08
------------------------------------------------------
[XID]=425509, [TOPXID]=0
[SQLNO]=1
[SQL]=INSERT INTO public.t_walminer(id ,name) VALUES(3 ,'xifenfei')
[UNDO]=DELETE FROM public.t_walminer WHERE id=3 AND name='xifenfei'
[database]=postgres
[COMPLETE]=true
[LSN]=0/d502328
[COMMITLSN]=0/d502370
[COMMITTIME]=2024-04-25 22:49:23.382642+08
------------------------------------------------------
Switch wal to /pg/database/data/pg_arch/00000001000000000000000E on time 2024-04-25 23:27:07.696041+08
Switch wal to /pg/database/data/pg_arch/00000001000000000000000F on time 2024-04-25 23:27:07.696062+08
[postgres@localhost bin]$ 

通过上述测试证明walminer可以非常好的解析pg的wal日志

发表在 PostgreSQL恢复 | 标签为 , , | 评论关闭

PostgreSQL恢复系列:pg_filedump批量处理

pg_filedump工具使用起来比较麻烦,主要存在问题:
1. 需要人工一个个枚举各个列类型无法实现批量恢复,参考以前写的PostgreSQL恢复系列:pg_filedump基本使用
2. 特别是在pg库无法正常运行的情况下,如果没有业务提供表创建语句,恢复基本上无法正常进行.
基于这两个问题,在以前的文章中写过PostgreSQL恢复系列:pg_filedump恢复字典构造,为了解决上述的两个,弄了一个pg_filedump_batch脚本实现批量恢复需求

在测试的pg库中创建了一些测试表,并查看部分表数据,便于对比后续恢复效果

postgres=# \d
             List of relations
 Schema |      Name      | Type  |  Owner   
--------+----------------+-------+----------
 public | t_tbs          | table | postgres
 public | t_xff          | table | postgres
 public | t_xff2         | table | postgres
 public | t_xff3         | table | postgres
 public | t_xff4         | table | postgres
 public | t_xifenfei     | table | postgres
 public | tab_attribute  | table | postgres
 public | tab_class      | table | postgres
 public | tab_database   | table | postgres
 public | tab_namespace  | table | postgres
 public | tab_tablespace | table | postgres
 public | tab_type       | table | postgres
(12 rows)

postgres=# select * from tab_database;
  oid  |   datname   | datdba | encoding | datcollate  |  datctype   | datistemplate | datallowconn | datconnlimit | datlastsysoi
d | datfrozenxid | datminmxid | dattablespace 
-------+-------------+--------+----------+-------------+-------------+---------------+--------------+--------------+-------------
--+--------------+------------+---------------
 14187 | postgres    |     10 |        6 | en_US.UTF-8 | en_US.UTF-8 | f             | t            |           -1 |         1418
6 |          479 |          1 |          1663
 16403 | db_xff      |     10 |        6 | en_US.UTF-8 | en_US.UTF-8 | f             | t            |           -1 |         1418
6 |          479 |          1 |          1663
     1 | template1   |     10 |        6 | en_US.UTF-8 | en_US.UTF-8 | t             | t            |           -1 |         1418
6 |          479 |          1 |          1663
 14186 | template0   |     10 |        6 | en_US.UTF-8 | en_US.UTF-8 | t             | f            |           -1 |         1418
6 |          479 |          1 |          1663
 16407 | db_xifenfei |  16405 |        6 | en_US.UTF-8 | en_US.UTF-8 | f             | t            |           -1 |         1418
6 |          479 |          1 |         16406
(5 rows)
postgres=# select count(1) from tab_class;
 count 
-------
   407
(1 row)

postgres=# select *from pg_tablespace;
  oid  |   spcname    | spcowner | spcacl | spcoptions 
-------+--------------+----------+--------+------------
  1663 | pg_default   |       10 |        | 
  1664 | pg_global    |       10 |        | 
 16406 | tbs_xifenfei |    16405 |        | 
(3 rows)

使用pg_filedump_bath脚本来实现批量恢复

[root@xifenfei tmp]# ./pg_filedump_batch recover --database-oid=14187  \
 --output-directory=/data/recovery --pgdata=/var/lib/pgsql/12/data
Recover tables in database with oid: 14187
LOG: starting to process table tab_attribute
LOG: starting to process table tab_class
LOG: starting to process table tab_database
LOG: starting to process table tab_namespace
LOG: starting to process table tab_tablespace
LOG: starting to process table tab_type
LOG: starting to process table t_tbs
LOG: starting to process table t_xff
LOG: starting to process table t_xff2
LOG: starting to process table t_xff3
LOG: starting to process table t_xff4
LOG: starting to process table t_xifenfei
Check dumps in /data/recovery

参考数据恢复

[root@xifenfei tmp]# cd /data/recovery/
[root@xifenfei recovery]# ls -ltr
total 156
-rw-r--r-- 1 root root 82797 Apr 18 20:35 recovered-14187-tab_attribute.csv
-rw-r--r-- 1 root root 31129 Apr 18 20:35 recovered-14187-tab_class.csv
-rw-r--r-- 1 root root   343 Apr 18 20:35 recovered-14187-tab_database.csv
-rw-r--r-- 1 root root   118 Apr 18 20:35 recovered-14187-tab_namespace.csv
-rw-r--r-- 1 root root    50 Apr 18 20:35 recovered-14187-tab_tablespace.csv
-rw-r--r-- 1 root root  7907 Apr 18 20:35 recovered-14187-tab_type.csv
-rw-r--r-- 1 root root     0 Apr 18 20:35 recovered-14187-t_tbs.csv
-rw-r--r-- 1 root root    38 Apr 18 20:35 recovered-14187-t_xff.csv
-rw-r--r-- 1 root root    38 Apr 18 20:35 recovered-14187-t_xff2.csv
-rw-r--r-- 1 root root    38 Apr 18 20:35 recovered-14187-t_xff3.csv
-rw-r--r-- 1 root root    38 Apr 18 20:35 recovered-14187-t_xff4.csv
-rw-r--r-- 1 root root    38 Apr 18 20:35 recovered-14187-t_xifenfei.csv
[root@xifenfei recovery]# cat recovered-14187-tab_database.csv
14187   postgres        10      6       en_US.UTF-8     en_US.UTF-8     f       t       -1      14186   479     1       1663
16403   db_xff  10      6       en_US.UTF-8     en_US.UTF-8     f       t       -1      14186   479     1       1663
1       template1       10      6       en_US.UTF-8     en_US.UTF-8     t       t       -1      14186   479     1       1663
14186   template0       10      6       en_US.UTF-8     en_US.UTF-8     t       f       -1      14186   479     1       1663
16407   db_xifenfei     16405   6       en_US.UTF-8     en_US.UTF-8     f       t       -1      14186   479     1       16406
[root@xifenfei recovery]# cat recovered-14187-tab_class.csv|wc -l
407
[root@xifenfei recovery]# cat recovered-14187-tab_tablespace.csv
1663    pg_default
1664    pg_global
16406   tbs_xifenfei

把pg_class恢复数据导入库中进行对比,证明恢复的数据完全正确

postgres=# COPY tab_class_new FROM '/data/recovery/recovered-14187-tab_class.csv';
COPY 407

postgres=# select count(1) from tab_class;
 count 
-------
   407
(1 row)

 count 
-------
   407
(1 row)

postgres=# select count(1) from tab_class_new;
 count 
-------
   407
(1 row)

postgres=# select * from tab_class_new 
postgres-# EXCEPT
postgres-# select * from tab_class;
 oid | relname | relnamespace | reltype | reloftype | relowner | relam | relfilenode | reltablespace | relpages | reltuples | rel
allvisible | reltoastrelid | relhasindex | relisshared | relpersistence | relkind 
-----+---------+--------------+---------+-----------+----------+-------+-------------+---------------+----------+-----------+----
-----------+---------------+-------------+-------------+----------------+---------
(0 rows)

postgres=# select * from tab_class
postgres-# EXCEPT
postgres-# select * from tab_class_new;
 oid | relname | relnamespace | reltype | reloftype | relowner | relam | relfilenode | reltablespace | relpages | reltuples | rel
allvisible | reltoastrelid | relhasindex | relisshared | relpersistence | relkind 
-----+---------+--------------+---------+-----------+----------+-------+-------------+---------------+----------+-----------+----
-----------+---------------+-------------+-------------+----------------+---------
(0 rows)

通过上述操作证明:
1. 在没有人工列出列类型的情况下实现批量pg_filedump恢复功能
2. 在pg库没有启动的情况下直接解析字典实现恢复功能
3. 实现pg数据库的批量恢复
如果有PostgreSQL的数据库故障,自行无法解决,请联系我们提供专业数据库恢复技术支持:
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