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Yuanjian Li 7db0af5785 [SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new DateFormatter 
### What changes were proposed in this pull request?
This is a follow-up work for #27441. For the cases of new TimestampFormatter return null while legacy formatter can return a value, we need to throw an exception instead of silent change. The legacy config will be referenced in the error message.

### Why are the changes needed?
Avoid silent result change for new behavior in 3.0.

### Does this PR introduce any user-facing change?
Yes, an exception is thrown when we detect legacy formatter can parse the string and the new formatter return null.

### How was this patch tested?
Extend existing UT.

Closes #27537 from xuanyuanking/SPARK-30668-follow.

Authored-by: Yuanjian Li <xyliyuanjian@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-03-05 15:29:39 +08:00
..
catalyst [SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new DateFormatter 2020-03-05 15:29:39 +08:00
core [SPARK-30668][SQL][FOLLOWUP] Raise exception instead of silent change for new DateFormatter 2020-03-05 15:29:39 +08:00
hive Revert "[SPARK-30808][SQL] Enable Java 8 time API in Thrift server" 2020-03-03 14:21:20 +08:00
hive-thriftserver [SPARK-30049][SQL] SQL fails to parse when comment contains an unmatched quote character 2020-03-03 09:55:15 -06:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +09:00
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.