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Kent Yao ac4651a7d1 [SPARK-33980][SS] Invalidate char/varchar in spark.readStream.schema 
### What changes were proposed in this pull request?

invalidate char/varchar in `spark.readStream.schema` just like what we've done for `spark.read.schema` in da72b87374

### Why are the changes needed?

bugfix, char/varchar is only for table schema while `spark.sql.legacy.charVarcharAsString=false`

### Does this PR introduce _any_ user-facing change?

yes, char/varchar will fail to define ss readers when `spark.sql.legacy.charVarcharAsString=false`

### How was this patch tested?

new tests

Closes #31003 from yaooqinn/SPARK-33980.

Authored-by: Kent Yao <yao@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-01-04 12:59:45 -08:00
..
catalyst [SPARK-33990][SQL][TESTS] Remove partition data by v2 ALTER TABLE .. DROP PARTITION 2021-01-04 10:26:39 -08:00
core [SPARK-33980][SS] Invalidate char/varchar in spark.readStream.schema 2021-01-04 12:59:45 -08:00
hive [SPARK-33844][SQL] InsertIntoHiveDir command should check col name too 2021-01-04 09:43:15 +00:00
hive-thriftserver [SPARK-33895][SQL] Char and Varchar fail in MetaOperation of ThriftServer 2020-12-24 07:40:38 +00:00
create-docs.sh [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes extensions that allow users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running ./sql/create-docs.sh generates SQL documentation for built-in functions under sql/site, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.