Table Filter
The TiDB migration 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 foo*
and bar*
and nothing else.
Since TiDB 4.0, all TiDB migration tools share a common filter syntax to define subsets. This document describes how to use the table filter feature.
Usage
CLI
Table filters can be applied to the tools using multiple -f
or --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.
- tiup dumpling -f 'foo*.*' -f 'bar*.*' -P 3306 -o /tmp/data/
- tiup tidb-lightning -f 'foo*.*' -f 'bar*.*' -d /tmp/data/ --backend tidb
TOML configuration files
Table filters in TOML files are specified as array of strings. The following lists the example usage.
TiDB Lightning:
[mydumper] filter = ['foo*.*', 'bar*.*']
Syntax
Plain table names
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 (
0
to9
) - letters (
a
toz
,A
toZ
) $
_
- 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.
Wildcards
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.
File import
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:
employees.*
*.WorkOrder
the following two invocations are equivalent:
tiup dumpling -f '@config/filter.txt'
tiup dumpling -f 'employees.*' -f '*.WorkOrder'
A filter file cannot further import another file.
Comments and blank lines
Inside a filter file, leading and trailing white-spaces of every line are trimmed. Furthermore, blank lines (empty strings) are ignored.
A leading #
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
Exclusion
An !
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
Escape character
To turn a special character into an identifier character, precede it with a backslash \
.
db\.with\.dots.*
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\0
,\r
,\n
and\t
currently are meaningless.
Quoted identifier
Besides \
, special characters can also be suppressed by quoting using "
or `
.
"db.with.dots"."tbl\1"
`db.with.dots`.`tbl\2`
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*.*
Regular expression
In case very complex rules are needed, each pattern can be written as a regular expression delimited with /
:
/^db\d{2,}$/./^tbl\d{2,}$/
These regular expressions use the Go dialect. The pattern is matched if the identifier contains a substring matching the regular expression. For instance, /b/
matches db01
.
Multiple rules
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
tiup dumpling -f '!*.Password'
# only the "Password" table is filtered out, the rest are included.
tiup 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 |
---|---|---|---|---|
irrelevant.table | Default (reject) | |||
employees.employees | ✓ | Rule 1 (accept) | ||
employees.dept_emp | ✓ | ✓ | Rule 2 (reject) | |
employees.departments | ✓ | ✓ | ✓ | Rule 3 (accept) |
else.departments | ✓ | ✓ | Rule 3 (accept) |