A filter plugin for Embulk to filter out rows

Requirement: version >= 0.3.0

• where: Select only rows which match with conditions written in SQL-like syntax. See SQL-like Syntax

filters:
  - type: row
    where: column1 = 'str'

filters:
  - type: row
    where: |-
      (
        string_column START_WITH 'str' AND
        number_column > 1.0
      )
      OR
      (
        time_column = TIMESTAMP '2016-01-01 +0900' AND
        "true_column" = true
      )

See SQL-like Syntax for more details

This syntax must be similar with a standard SQL syntax.

where: column1 = 'str'

where: |-
  (
    string_column START_WITH 'str' AND
    number_column > 1.0
  
  )
  OR
  (
    time_column = TIMESTAMP '2016-01-01 +0900' AND
    "true_column" = true AND
    string_column REGEXP '^reg'
  )

true or TRUE or false or FALSE are considered as a boolean literal

Characters matching with a regular expression -?[0-9]+(\.[0-9]+)? is considered as a number literal

Characters surrounded by ' such as 'foo' is considered as a string literal

NOTE: It became possible to omit TIMESTAMP keyword on comparing with timestamp identifier (column) from version >= 0.3.3.

TIMESTAMP ( NumberLiteral | StringLiteral ) such as TIMESTAMP 1470433087.747123 or TIMESTAMP '2016-08-06 06:38:07.747123 +0900' is considered as a timestamp literal

Number is a epoch time since 1970-01-01 UTC with nano time resolution.

String is a timestamp string which matches with one of following format:

• %Y-%m-%d %H:%M:%S.%N %z
• %Y-%m-%d %H:%M:%S.%N
• %Y-%m-%d %H:%M:%S %z
• %Y-%m-%d %H:%M:%S
• %Y-%m-%d %z
• %Y-%m-%d

The time zone for formats without %z is UTC, and the time resolution is micro second (caused by limitation of Embulk TimestampParser).

Not supported yet

Characters matching with a regular expression [a-zA-Z_][a-zA-z0-9_]* such as foobar, and characters surrounded by " such as "foo-bar", "foo.bar", and "foo\"bar" are considred as an identifier literal, that is, embulk's column name.

• =
• !=

• =
• !=
• >
• >=
• <=
• <

• =
• !=
• START_WITH
• END_WITH
• INCLUDE
• REGEXP

• =
• !=
• >
• >=
• <=
• <

Not supported yet

• "xxx IS NULL"
• "xxx IS NOT NULL"
• "NOT xxx"

Versions >= 0.3.0 has where option to supports SQL-like syntax. I recommend to use it.

Following options are deprecated, and will be removed someday.

• condition: AND or OR (string, default: AND).
• conditions: select only rows which matches with conditions.
  • column: column name (string, required)
  • operator operator (string, optional, default: ==)
    • boolean operator
      • ==
      • !=
    • numeric operator (long, double, Timestamp)
      • ==
      • !=
      • >
      • >=
      • <=
      • <
    • string operator
      • ==
      • !=
      • start_with (or startsWith)
      • end_with (or endsWith)
      • include (or contains)
    • unary operator
      • IS NULL
      • IS NOT NULL
  • argument: argument for the operation (string, required for non-unary operators)
  • not: not (boolean, optional, default: false)
  • format: special option for timestamp column, specify the format of timestamp argument, parsed argument is compared with the column value as Timestamp object (string, default is %Y-%m-%d %H:%M:%S.%N %z)
  • timezone: special option for timestamp column, specify the timezone of timestamp argument (string, default is UTC)

NOTE: column type is automatically retrieved from input data (inputSchema)

Deprecated

filters:
  - type: row
    condition: AND
    conditions:
      - {column: foo,  operator: "IS NOT NULL"}
      - {column: id,   operator: ">=", argument: 10}
      - {column: id,   operator: "<",  argument: 20}
      - {column: name, opeartor: "include", argument: foo, not: true}
      - {column: time, operator: "==", argument: "2015-07-13", format: "%Y-%m-%d"}

Deprecated

filters:
  - type: row
    condition: OR
    conditions:
      - {column: a, operator: "IS NOT NULL"}
      - {column: b, operator: "IS NOT NULL"}

Deprecated

You can express a condition such as (A OR B) AND (C OR D) by combining multiple filters like

filters:
  - type: row
    condition: OR
    conditions:
      - {column: a, operator: "IS NOT NULL"}
      - {column: b, operator: "IS NOT NULL"}
  - type: row
    condition: OR
    conditions:
      - {column: c, operator: "IS NOT NULL"}
      - {column: d, operator: "IS NOT NULL"}

• embulk-filter-calcite
  • embulk-filter-calcite is a pretty nice plugin which enables us to write SQL query to filter embulk records, not only WHERE but also SELECT.
  • Based on my benchmark (Japanese), embulk-filter-row was faster than embulk-filter-calcite.
  • Choose which to use as your demand.

• Support filtering by values of type: json with JSONPath
• Support IN operator

CHANGELOG.md

Run example:

$ ./gradlew classpath
$ embulk preview -I lib example/example.yml

Run test:

$ ./gradlew test

Run checkstyle:

$ ./gradlew check

Release gem:

$ ./gradlew gemPush

Read the article Supported SQL-like Syntax with embulk-filter-row using BYACC/J and JFlex.

To download BYACC/J and JFlex and run them, you can use:

$ script/byaccj.sh

or

$ ./gradlew byaccj # this runs script/byaccj.sh internally

This generates src/main/java/org/embulk/filter/row/where/{Parser,ParserVal,Yylex}.java.

The byaccj task of gradle is ran before compileJava task (which means to be ran before classpath or test task also) automatically.