title | summary | aliases | |||
---|---|---|---|---|---|
Dumpling Overview |
Use the Dumpling tool to export data from TiDB. |
|
This document introduces the data export tool - Dumpling. Dumpling exports data stored in TiDB/MySQL as SQL or CSV data files and can be used to make a logical full backup or export.
For backups of SST files (key-value pairs) or backups of incremental data that are not sensitive to latency, refer to BR. For real-time backups of incremental data, refer to TiCDC.
Note:
PingCAP previously maintained a fork of the mydumper project with enhancements specific to TiDB. This fork has since been replaced by Dumpling, which has been rewritten in Go, and supports more optimizations that are specific to TiDB. It is strongly recommended that you use Dumpling instead of mydumper.
For the overview of Mydumper, refer to v4.0 Mydumper documentation.
- Support exporting data in multiple formats, including SQL and CSV
- Support the table-filter feature, which makes it easier to filter data
- Support exporting data to Amazon S3 cloud storage.
- More optimizations are made for TiDB:
- Support configuring the memory limit of a single TiDB SQL statement
- Support automatic adjustment of TiDB GC time for TiDB v4.0.0 and above
- Use TiDB's hidden column
_tidb_rowid
to optimize the performance of concurrent data export from a single table - For TiDB, you can set the value of
tidb_snapshot
to specify the time point of the data backup. This ensures the consistency of the backup, instead of usingFLUSH TABLES WITH READ LOCK
to ensure the consistency.
Dumpling is written in Go. The Github project is pingcap/dumpling.
For detailed usage of Dumpling, use the --help
option or refer to Option list of Dumpling.
When using Dumpling, you need to execute the export command on a running cluster. This document assumes that there is a TiDB instance on the 127.0.0.1:4000
host and that this TiDB instance has a root user without a password.
You can get Dumpling using TiUP by running tiup install dumpling
. Afterwards, you can use tiup dumpling ...
to run Dumpling.
Dumpling is also included in the tidb-toolkit installation package and can be download here.
- SELECT
- RELOAD
- LOCK TABLES
- REPLICATION CLIENT
Dumpling exports data to SQL files by default. You can also export data to SQL files by adding the --filetype sql
flag:
{{< copyable "shell-regular" >}}
dumpling \
-u root \
-P 4000 \
-h 127.0.0.1 \
--filetype sql \
--t 8 \
-o /tmp/test \
-r 200000 \
-F 256MiB
In the command above:
- The
-h
,-p
, and-u
option respectively mean the address, the port, and the user. If a password is required for authentication, you can use-p $YOUR_SECRET_PASSWORD
to pass the password to Dumpling. - The
-o
option specifies the export directory of the storage, which supports a local file path or a URL of an external storage. - The
t
option specifies the number of threads for the export. Increasing the number of threads improves the concurrency of Dumpling and the export speed, and also increases the database's memory consumption. Therefore, it is not recommended to set the number too large. - The
-r
option specifies the maximum number of rows in a single file. With this option specified, Dumpling enables the in-table concurrency to speed up the export and reduce the memory usage. - The
-F
option is used to specify the maximum size of a single file (the unit here isMiB
; inputs like5GiB
or8KB
are also acceptable). It is recommended to keep its value to 256 MiB or less if you plan to use TiDB Lightning to load this file into a TiDB instance.
Note:
If the size of a single exported table exceeds 10 GB, it is strongly recommended to use the
-r
and-F
options.
If Dumpling exports data to CSV files (use --filetype csv
to export to CSV files), you can also use --sql <SQL>
to export the records selected by the specified SQL statement.
For example, you can export all records that match id < 100
in test.sbtest1
using the following command:
{{< copyable "shell-regular" >}}
./dumpling \
-u root \
-P 4000 \
-h 127.0.0.1 \
-o /tmp/test \
--filetype csv \
--sql 'select * from `test`.`sbtest1` where id < 100'
Note:
Currently, the
--sql
option can be used only for exporting to CSV files.Here you need to execute the
select * from <table-name> where id <100
statement on all tables to be exported. If some tables do not have specified fields, the export fails.Strings and keywords are not distinguished in CSV files. If the imported data is the Boolean type, you need to convert
true
andfalse
to1
and0
.
-
metadata
: The start time of the exported files and the position of the master binary log.{{< copyable "shell-regular" >}}
cat metadata
Started dump at: 2020-11-10 10:40:19 SHOW MASTER STATUS: Log: tidb-binlog Pos: 420747102018863124 Finished dump at: 2020-11-10 10:40:20
-
{schema}-schema-create.sql
: The SQL file used to create the schema{{< copyable "shell-regular" >}}
cat test-schema-create.sql
CREATE DATABASE `test` /*!40100 DEFAULT CHARACTER SET utf8mb4 */;
-
{schema}.{table}-schema.sql
: The SQL file used to create the table{{< copyable "shell-regular" >}}
cat test.t1-schema.sql
CREATE TABLE `t1` ( `id` int(11) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_bin;
-
{schema}.{table}.{0001}.{sql|csv
}: The date source file{{< copyable "shell-regular" >}}
cat test.t1.0.sql
/*!40101 SET NAMES binary*/; INSERT INTO `t1` VALUES (1);
-
*-schema-view.sql
、*-schema-trigger.sql
、*-schema-post.sql
: Other exported files
Since v4.0.8, Dumpling supports exporting data to cloud storages. If you need to back up data to Amazon's S3 backend storage, you need to specify the S3 storage path in the -o
parameter.
You need to create an S3 bucket in the specified region (see the Amazon documentation - How do I create an S3 Bucket). If you also need to create a folder in the bucket, see the Amazon documentation - Creating a folder.
Pass SecretKey
and AccessKey
of the account with the permission to access the S3 backend storage to the Dumpling node as environment variables.
{{< copyable "shell-regular" >}}
export AWS_ACCESS_KEY_ID=${AccessKey}
export AWS_SECRET_ACCESS_KEY=${SecretKey}
Dumpling also supports reading credential files from ~/.aws/credentials
. For more Dumpling configuration, see the configuration of External storages.
When you back up data using Dumpling, explicitly specify the --s3.region
parameter, which means the region of the S3 storage (for example, ap-northeast-1
):
{{< copyable "shell-regular" >}}
./dumpling \
-u root \
-P 4000 \
-h 127.0.0.1 \
-r 200000 \
-o "s3://${Bucket}/${Folder}" \
--s3.region "${region}"
By default, Dumpling exports all databases except system databases (including mysql
, sys
, INFORMATION_SCHEMA
, PERFORMANCE_SCHEMA
, METRICS_SCHEMA
, and INSPECTION_SCHEMA
). You can use --where <SQL where expression>
to select the records to be exported.
{{< copyable "shell-regular" >}}
./dumpling \
-u root \
-P 4000 \
-h 127.0.0.1 \
-o /tmp/test \
--where "id < 100"
The above command exports the data that matches id < 100
from each table. Note that you cannot use the --where
parameter together with --sql
.
Dumpling can filter specific databases or tables by specifying the table filter with the --filter
option. The syntax of table filters is similar to that of .gitignore
. For details, see Table Filter.
{{< copyable "shell-regular" >}}
./dumpling \
-u root \
-P 4000 \
-h 127.0.0.1 \
-o /tmp/test \
-r 200000 \
--filter "employees.*" \
--filter "*.WorkOrder"
The above command exports all the tables in the employees
database and the WorkOrder
tables in all databases.
Dumpling can also export specific databases with the -B
option or specific tables with the -T
option.
Note:
- The
--filter
option and the-T
option cannot be used at the same time.- The
-T
option can only accept a complete form of inputs likedatabase-name.table-name
, and inputs with only the table name are not accepted. Example: Dumpling cannot recognize-T WorkOrder
.
Examples:
-B employees
exports theemployees
database.-T employees.WorkOrder
exports theemployees.WorkOrder
table.
The exported file is stored in the ./export-<current local time>
directory by default. Commonly used options are as follows:
- The
t
option specifies the number of threads for the export. Increasing the number of threads improves the concurrency of Dumpling and the export speed, and also increases the database's memory consumption. Therefore, it is not recommended to set the number too large. - The
-r
option specifies the maximum number of records (or the number of rows in the database) for a single file. When it is enabled, Dumpling enables concurrency in the table to improve the speed of exporting large tables.
With the above options specified, Dumpling can have a quicker speed of data export.
Note:
In most scenarios, you do not need to adjust the default data consistency options of Dumpling (the default value is
auto
).
Dumpling uses the --consistency <consistency level>
option to control the way in which data is exported for "consistency assurance". When using snapshot for consistency, you can use the --snapshot
option to specify the timestamp to be backed up. You can also use the following levels of consistency:
flush
: UseFLUSH TABLES WITH READ LOCK
to temporarily interrupt the DML and DDL operations of the replica database, to ensure the global consistency of the backup connection, and to record the binlog position (POS) information. The lock is released after all backup connections start transactions. It is recommended to perform full backups during off-peak hours or on the MySQL replica database.snapshot
: Get a consistent snapshot of the specified timestamp and export it.lock
: Add read locks on all tables to be exported.none
: No guarantee for consistency.auto
: Useflush
for MySQL andsnapshot
for TiDB.
After everything is done, you can see the exported file in /tmp/test
:
{{< copyable "shell-regular" >}}
ls -lh /tmp/test | awk '{print $5 "\t" $9}'
140B metadata
66B test-schema-create.sql
300B test.sbtest1-schema.sql
190K test.sbtest1.0.sql
300B test.sbtest2-schema.sql
190K test.sbtest2.0.sql
300B test.sbtest3-schema.sql
190K test.sbtest3.0.sql
Dumpling can export the data of a certain tidb_snapshot with the --snapshot
option specified.
The --snapshot
option can be set to a TSO (the Position
field output by the SHOW MASTER STATUS
command) or a valid time of the datetime
data type (in the form of YYYY-MM-DD hh:mm:ss
), for example:
{{< copyable "shell-regular" >}}
./dumpling --snapshot 417773951312461825
./dumpling --snapshot "2020-07-02 17:12:45"
The TiDB historical data snapshots when the TSO is 417773951312461825
and the time is 2020-07-02 17:12:45
are exported.
When Dumpling is exporting a large single table from TiDB, Out of Memory (OOM) might occur because the exported data size is too large, which causes connection abort and export failure. You can use the following parameters to reduce the memory usage of TiDB:
- Setting
-r
to split the data to be exported into chunks. This reduces the memory overhead of TiDB's data scan and enables concurrent table data dump to improve export efficiency. - Reduce the value of
--tidb-mem-quota-query
to8589934592
(8 GB) or lower.--tidb-mem-quota-query
controls the memory usage of a single query statement in TiDB. - Adjust the
--params "tidb_distsql_scan_concurrency=5"
parameter.tidb_distsql_scan_concurrency
is a session variable which controls the concurrency of the scan operations in TiDB.
When exporting data from TiDB, if the TiDB version is greater than or equal to v4.0.0 and Dumpling can access the PD address of the TiDB cluster, Dumpling automatically extends the GC time without affecting the original cluster.
In other scenarios, if the data size is very large, to avoid export failure due to GC during the export process, you can extend the GC time in advance:
{{< copyable "sql" >}}
SET GLOBAL tidb_gc_life_time = '720h';
After your operation is completed, set the GC time back (the default value is 10m
):
{{< copyable "sql" >}}
SET GLOBAL tidb_gc_life_time = '10m';
Finally, all the exported data can be imported back to TiDB using TiDB Lightning.
Options | Usage | Default value |
---|---|---|
-V or --version |
Output the Dumpling version and exit directly | |
-B or --database |
Export specified databases | |
-T or --tables-list |
Export specified tables | |
-f or --filter |
Export tables that match the filter pattern. For the filter syntax, see table-filter. | [\*.\*,!/^(mysql|sys|INFORMATION_SCHEMA|PERFORMANCE_SCHEMA|METRICS_SCHEMA|INSPECTION_SCHEMA)$/.\*] (export all databases or tables excluding system schemas) |
--case-sensitive |
whether table-filter is case-sensitive | false (case-insensitive) |
-h or --host |
The IP address of the connected database host | "127.0.0.1" |
-t or --threads |
The number of concurrent backup threads | 4 |
-r or --rows |
Divide the table into specified rows of data (generally applicable for concurrent operations of splitting a large table into multiple files. | |
-L or --logfile |
Log output address. If it is empty, the log will be output to the console | "" |
--loglevel |
Log level {debug,info,warn,error,dpanic,panic,fatal} | "info" |
--logfmt |
Log output format {text,json} | "text" |
-d or --no-data |
Do not export data (suitable for scenarios where only the schema is exported) | |
--no-header |
Export CSV files of the tables without generating header | |
-W or --no-views |
Do not export the views | true |
-m or --no-schemas |
Do not export the schema with only the data exported | |
-s or --statement-size |
Control the size of the INSERT statements; the unit is bytes |
|
-F or --filesize |
The file size of the divided tables. The unit must be specified such as 128B , 64KiB , 32MiB , and 1.5GiB . |
|
--filetype |
Exported file type (csv/sql) | "sql" |
-o or --output |
The path of exported local files or the URL of the external storage | "./export-${time}" |
-S or --sql |
Export data according to the specified SQL statement. This command does not support concurrent export. | |
--consistency |
flush: use FTWRL before the dump snapshot: dump the TiDB data of a specific snapshot of a TSO lock: execute lock tables read on all tables to be dumped none: dump without adding locks, which cannot guarantee consistency auto: use --consistency flush for MySQL; use --consistency snapshot for TiDB |
"auto" |
--snapshot |
Snapshot TSO; valid only when consistency=snapshot |
|
--where |
Specify the scope of the table backup through the where condition |
|
-p or --password |
The password of the connected database host | |
-P or --port |
The port of the connected database host | 4000 |
-u or --user |
The username of the connected database host | "root" |
--dump-empty-database |
Export the CREATE DATABASE statements of the empty databases |
true |
--ca |
The address of the certificate authority file for TLS connection | |
--cert |
The address of the client certificate file for TLS connection | |
--key |
The address of the client private key file for TLS connection | |
--csv-delimiter |
Delimiter of character type variables in CSV files | '"' |
--csv-separator |
Separator of each value in CSV files | ',' |
--csv-null-value |
Representation of null values in CSV files | "\N" |
--escape-backslash |
Use backslash (\ ) to escape special characters in the export file |
true |
--output-filename-template |
The filename templates represented in the format of golang template Support the {{.DB}} , {{.Table}} , and {{.Index}} arguments The three arguments represent the database name, table name, and chunk ID of the data file |
'{{.DB}}.{{.Table}}.{{.Index}}' |
--status-addr |
Dumpling's service address, including the address for Prometheus to pull metrics and pprof debugging | ":8281" |
--tidb-mem-quota-query |
The memory limit of exporting SQL statements by a single line of Dumpling command, and the unit is byte. For v4.0.10 or later versions, if you do not set this parameter, TiDB uses the value of the mem-quota-query configuration item as the memory limit value by default. For versions earlier than v4.0.10, the parameter value defaults to 32 GB. |
34359738368 |
--params |
Specifies the session variable for the connection of the database to be exported. The required format is "character_set_client=latin1,character_set_connection=latin1" |