- Key Features
- Horizontal Scalability
- MySQL Compatible Syntax
- Replicate from and to MySQL
- Distributed Transactions with Strong Consistency
- Cloud Native Architecture
- Minimize ETL with HTAP
- Fault Tolerance & Recovery with Raft
- Automatic Rebalancing
- Deployment and Orchestration with Ansible, Kubernetes, Docker
- JSON Support
- Spark Integration
- Read Historical Data Without Restoring from Backup
- Fast Import and Restore of Data
- Hybrid of Column and Row Storage
- SQL Plan Management
- Open Source
- Online Schema Changes
- Key Features
- Get Started
- From Binary Tarball
- Orchestrated Deployment
- Geographic Redundancy
- SQL Language Structure
- Data Types
- Numeric Types
- Date and Time Types
- String Types
- Functions and Operators
- Function and Operator Reference
- Type Conversion in Expression Evaluation
- Control Flow Functions
- String Functions
- Numeric Functions and Operators
- Date and Time Functions
- Bit Functions and Operators
- Cast Functions and Operators
- Encryption and Compression Functions
- Information Functions
- JSON Functions
- Aggregate (GROUP BY) Functions
- Window Functions
- Miscellaneous Functions
- Precision Math
- List of Expressions for Pushdown
- SQL Statements
ADMIN CANCEL DDL
ADMIN CHECKSUM TABLE
ADMIN CHECK [TABLE|INDEX]
ADMIN SHOW DDL [JOBS|QUERIES]
CREATE TABLE LIKE
SET DEFAULT ROLE
SET [NAMES|CHARACTER SET]
SET [GLOBAL|SESSION] <variable>
SHOW ANALYZE STATUS
SHOW CHARACTER SET
SHOW [FULL] COLUMNS FROM
SHOW CREATE TABLE
SHOW CREATE USER
SHOW [FULL] FIELDS FROM
SHOW INDEXES [FROM|IN]
SHOW INDEX [FROM|IN]
SHOW KEYS [FROM|IN]
SHOW [FULL] PROCESSSLIST
SHOW [FULL] TABLES
SHOW TABLE REGIONS
SHOW TABLE STATUS
SHOW [GLOBAL|SESSION] VARIABLES
- System Databases
- Garbage Collection (GC)
- Understanding the Query Execution Plan
- The Blocklist of Optimization Rules and Expression Pushdown
- Introduction to Statistics
- TopN and Limit Push Down
- Optimizer Hints
- Follower Read
- Check the TiDB Cluster Status Using SQL Statements
- Execution Plan Binding
- Statement Summary Table
- Tune TiKV
- Operating System Tuning
- Column Pruning
- Key Monitoring Metrics
- Best Practices
- TiDB Binlog
- Binlog Consumer Client
- TiDB Binlog Relay Log
- Bidirectional Replication Between TiDB Clusters
- TiDB Lightning
- All Releases
The TiDB ecosystem tools operate on all the databases by default, but oftentimes only a subset is needed. For example, you only want to work with the schemas in the form of
bar* and nothing else.
Several TiDB ecosystem tools share a common filter syntax to define subsets. This document describes how to use the table filter feature.
Table filters can be applied to the tools using multiple
--filter command line parameters. Each filter is in the form of
db.table, where each part can be a wildcard (further explained in the next section). The following lists the example usage in each tool.
./br backup full -f 'foo*.*' -f 'bar*.*' -s 'local:///tmp/backup' # ^~~~~~~~~~~~~~~~~~~~~~~ ./br restore full -f 'foo*.*' -f 'bar*.*' -s 'local:///tmp/backup' # ^~~~~~~~~~~~~~~~~~~~~~~
./dumpling -f 'foo*.*' -f 'bar*.*' -P 3306 -o /tmp/data/ # ^~~~~~~~~~~~~~~~~~~~~~~
./tidb-lightning -f 'foo*.*' -f 'bar*.*' -d /tmp/data/ --backend tidb # ^~~~~~~~~~~~~~~~~~~~~~~
Table filters in TOML files are specified as array of strings. The following lists the example usage in each tool.
[mydumper] filter = ['foo*.*', 'bar*.*']
Each table filter rule consists of a "schema pattern" and a "table pattern", separated by a dot (
.). Tables whose fully-qualified name matches the rules are accepted.
db1.tbl1 db2.tbl2 db3.tbl3
A plain name must only consist of valid identifier characters, such as:
- digits (
- letters (
- non ASCII characters (U+0080 to U+10FFFF)
All other ASCII characters are reserved. Some punctuations have special meanings, as described in the next section.
Each part of the name can be a wildcard symbol described in fnmatch(3):
*— matches zero or more characters
?— matches one character
[a-z]— matches one character between "a" and "z" inclusively
[!a-z]— matches one character except "a" to "z".
db[0-9].tbl[0-9a-f][0-9a-f] data.* *.backup_*
"Character" here means a Unicode code point, such as:
- U+00E9 (é) is 1 character.
- U+0065 U+0301 (é) are 2 characters.
- U+1F926 U+1F3FF U+200D U+2640 U+FE0F (🤦🏿♀️) are 5 characters.
To import a file as the filter rule, include an
@ at the beginning of the rule to specify the file name. The table filter parser treats each line of the imported file as additional filter rules.
For example, if a file
config/filter.txt has the following content:
the following two invocations are equivalent:
./dumpling -f '@config/filter.txt' ./dumpling -f 'employees.*' -f '*.WorkOrder'
A filter file cannot further import another file.
Inside a filter file, leading and trailing white-spaces of every line are trimmed. Furthermore, blank lines (empty strings) are ignored.
# marks a comment and is ignored.
# not at start of line is considered syntax error.
# this line is a comment db.table # but this part is not comment and may cause error
! at the beginning of the rule means the pattern after it is used to exclude tables from being processed. This effectively turns the filter into a block list.
*.* #^ note: must add the *.* to include all tables first !*.Password !employees.salaries
To turn a special character into an identifier character, precede it with a backslash
For simplicity and future compatibility, the following sequences are prohibited:
\at the end of the line after trimming whitespaces (use
[ ]to match a literal whitespace at the end).
\followed by any ASCII alphanumeric character (
[0-9a-zA-Z]). In particular, C-like escape sequences like
\tcurrently are meaningless.
\, special characters can also be suppressed by quoting using
The quotation mark can be included within an identifier by doubling itself.
"foo""bar".`foo``bar` # equivalent to: foo\"bar.foo\`bar
Quoted identifiers cannot span multiple lines.
It is invalid to partially quote an identifier:
"this is "invalid*.*
In case very complex rules are needed, each pattern can be written as a regular expression delimited with
These regular expressions use the Go dialect. The pattern is matched if the identifier contains a substring matching the regular expression. For instance,
/in the regular expression must be escaped as
\/, including inside
[…]. You cannot place an unescaped
When a table name matches none of the rules in the filter list, the default behavior is to ignore such unmatched tables.
To build a block list, an explicit
*.* must be used as the first rule, otherwise all tables will be excluded.
# every table will be filtered out ./dumpling -f '!*.Password' # only the "Password" table is filtered out, the rest are included. ./dumpling -f '*.*' -f '!*.Password'
In a filter list, if a table name matches multiple patterns, the last match decides the outcome. For instance:
# rule 1 employees.* # rule 2 !*.dep* # rule 3 *.departments
The filtered outcome is as follows:
|Table name||Rule 1||Rule 2||Rule 3||Outcome|
|employees.employees||✓||Rule 1 (accept)|
|employees.dept_emp||✓||✓||Rule 2 (reject)|
|employees.departments||✓||✓||✓||Rule 3 (accept)|
|else.departments||✓||✓||Rule 3 (accept)|
In TiDB tools, the system schemas are always excluded regardless of the table filter settings. The system schemas are: