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Jungtaek Lim (HeartSaVioR) fb80dfee70 [SPARK-28158][SQL][FOLLOWUP] HiveUserDefinedTypeSuite: don't use RandomDataGenerator to create row for UDT backed by ArrayType 
### What changes were proposed in this pull request?

There're some issues observed in `HiveUserDefinedTypeSuite."Support UDT in Hive UDF"`:

1) Neither function (TestUDF) nor test take "nullable" point column into account.
2) ExamplePointUDT. sqlType is ArrayType which doesn't provide information how many elements are expected. RandomDataGenerator may provide less elements than needed.

This patch fixes `HiveUserDefinedTypeSuite."Support UDT in Hive UDF"` to change the type of "point" column to be non-nullable, as well as not use RandomDataGenerator to create row for UDT backed by ArrayType.

### Why are the changes needed?

CI builds are failing in high occurrences.

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

No.

### How was this patch tested?

Manually tested by running tests locally multiple times.

Closes #26287 from HeartSaVioR/SPARK-28158-FOLLOWUP.

Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2019-10-29 11:57:25 +08:00
..
catalyst [SPARK-29609][SQL] DataSourceV2: Support DROP NAMESPACE 2019-10-28 15:00:22 -07:00
core [SPARK-29609][SQL] DataSourceV2: Support DROP NAMESPACE 2019-10-28 15:00:22 -07:00
hive [SPARK-28158][SQL][FOLLOWUP] HiveUserDefinedTypeSuite: don't use RandomDataGenerator to create row for UDT backed by ArrayType 2019-10-29 11:57:25 +08:00
hive-thriftserver [SPARK-29599][WEBUI] Support pagination for session table in JDBC/ODBC Tab 2019-10-28 08:45:21 -05:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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.