[spark] Support JSON format in COPY INTO#7993
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Add JSON format support for COPY INTO import and export, alongside existing CSV support. JSON uses column-name matching (not positional), with options for MULTI_LINE, DATE_FORMAT, TIMESTAMP_FORMAT, NULL_IF, EMPTY_FIELD_AS_NULL, and COMPRESSION. CSV-only options are rejected for JSON format. Includes 9 new tests and documentation updates.
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Summary
COPY INTOimport and export, alongside existing CSV supportMULTI_LINE,NULL_IF,EMPTY_FIELD_AS_NULL, andCOMPRESSIONFIELD_DELIMITER,SKIP_HEADER) are rejected for JSON format with clear error messagesMotivation
JSON is a common format for semi-structured data in data lake scenarios. Some users have requested JSON support for
COPY INTOto complement the existing CSV capability.Part of #8005
Changes
JSONlexer token toPaimonSqlExtensions.g4FileFormatType.JSON, format-specific option validation and Spark reader/writer option mapping_c0/_c1), dispatch.json()/.csv()by format typesql-write.mdwith JSON syntax, options, and column mapping semanticsTests
Added 16 JSON test cases covering: basic import, column-name matching, multi-line, explicit column list, NULL_IF, export, option validation, round-trip (export then import), extra/missing fields handling, malformed data abort, bad cast abort, GZIP compression, and date/timestamp column casting.