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Takeshi Yamamuro a7fb330ed3 [SPARK-31468][SQL] Null types should be implicitly casted to Decimal types 
### What changes were proposed in this pull request?

This PR intends to fix a bug that occurs when comparing null types to decimal types in master/branch-3.0;
```
scala> Seq(BigDecimal(10)).toDF("v1").selectExpr("v1 = NULL").explain(true)
org.apache.spark.sql.AnalysisException: cannot resolve '(`v1` = NULL)' due to data type mismatch: differing types in '(`v1` = NULL)' (decimal(38,18) and null).; line 1 pos 0;
'Project [(v1#5 = null) AS (v1 = NULL)#7]
+- Project [value#2 AS v1#5]
   +- LocalRelation [value#2]
...
```
The query above passed in v2.4.5.

### Why are the changes needed?

bugfix

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

No.

### How was this patch tested?

Added tests.

Closes #28241 from maropu/SPARK-31468.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-04-17 14:11:17 +00:00
..
catalyst [SPARK-31468][SQL] Null types should be implicitly casted to Decimal types 2020-04-17 14:11:17 +00:00
core [SPARK-31469][SQL] Make extract interval field ANSI compliance 2020-04-17 13:59:02 +00:00
hive [SPARK-31425][SQL][CORE] UnsafeKVExternalSorter/VariableLengthRowBasedKeyValueBatch should also respect UnsafeAlignedOffset 2020-04-17 04:48:27 +00:00
hive-thriftserver [SPARK-31291][SQL][TEST][FOLLOWUP] Fix resource loading error in ThriftServerQueryTestSuite 2020-04-11 08:23:59 -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.