[SPARK-58942][DOCS] Document CHAR/VARCHAR as a character string type family - #58224
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srielau wants to merge 1 commit into
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[SPARK-58942][DOCS] Document CHAR/VARCHAR as a character string type family#58224srielau wants to merge 1 commit into
srielau wants to merge 1 commit into
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…family Present CHAR, VARCHAR, and STRING as peer types with the precedence CHAR -> VARCHAR -> STRING, matching the semantics behind spark.sql.charVarchar.standardSemantics.enabled. Add a SQL reference page for length, CAST vs assignment, least-common-type, expression results, comparisons, collations, schema surfaces, and format/client metadata. Update Data Types, ANSI type coercion, SHOW COLLATIONS, the 4.4 migration guide, and the configuration description.
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What changes were proposed in this pull request?
Document
CHAR/VARCHAR/STRINGas a character string type family forSPARK-58942, matching the
behavior behind
spark.sql.charVarchar.standardSemantics.enabled.definitions, enablement, CAST vs assignment, least common type
(
CHAR(n) -> VARCHAR(n) -> STRING, analogous to integral types), expressionresult typing, comparisons and RTRIM collations, schema surfaces, and
format/client metadata.
variants of STRING, and are not limited to table schemas.
assignment to the new page, and add a Spark 4.4 migration note.
configuration description.
Parent: SPARK-58794.
Why are the changes needed?
Existing docs still describe CHAR/VARCHAR as annotated STRING used only in
table schemas. That is the Spark 3.1 story and no longer matches the first-class
type family implemented under
standardSemantics. Users need Spark-centricSQL reference for length, padding, CAST vs assignment, LCT, and STRING-returning
transforms.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
Documentation only. Local Markdown links and SQL menu YAML were checked. The
Jekyll site was built with
SKIP_API=1 SKIP_ERRORDOC=1 bundle exec jekyll build.Was this patch authored or co-authored using generative AI tooling?
Generated-by: Cursor Grok 4.6