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Kent Yao 761209c1f2 [SPARK-30919][SQL] Make interval multiply and divide's overflow behavior consistent with other operations 
### What changes were proposed in this pull request?

The current behavior of interval multiply and divide follows the ANSI SQL standard when overflow, it is compatible with other operations when `spark.sql.ansi.enabled` is true, but not compatible when `spark.sql.ansi.enabled` is false.

When `spark.sql.ansi.enabled` is false, as the factor is a double value, so it should use java's rounding or truncation behavior for casting double to integrals. when divided by zero, it returns `null`.  we also follow the natural rules for intervals as defined in the Gregorian calendar, so we do not add the month fraction to days but add days fraction to microseconds.

### Why are the changes needed?

Make interval multiply and divide's overflow behavior consistent with other interval operations

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

no, these are new features in 3.0

### How was this patch tested?

add uts

Closes #27672 from yaooqinn/SPARK-30919.

Authored-by: Kent Yao <yaooqinn@hotmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-02-25 22:19:24 +08:00
..
catalyst [SPARK-30919][SQL] Make interval multiply and divide's overflow behavior consistent with other operations 2020-02-25 22:19:24 +08:00
core [SPARK-30919][SQL] Make interval multiply and divide's overflow behavior consistent with other operations 2020-02-25 22:19:24 +08:00
hive [SPARK-30885][SQL] V1 table name should be fully qualified if catalog name is provided 2020-02-25 13:04:28 +08:00
hive-thriftserver [SPARK-30904][SQL] Thrift RowBasedSet serialization throws NullPointerException on NULL BigDecimal 2020-02-21 21:39:35 -07:00
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.