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bravo-zhang 6b186c9d60 [SPARK-18950][SQL] Report conflicting fields when merging two StructTypes 
## What changes were proposed in this pull request?

Currently, StructType.merge() only reports data types of conflicting fields when merging two incompatible schemas. It would be nice to also report the field names for easier debugging.

## How was this patch tested?

Unit test in DataTypeSuite.
Print exception message when conflict is triggered.

Author: bravo-zhang <mzhang1230@gmail.com>

Closes #16365 from bravo-zhang/spark-18950.
2017-07-31 17:19:55 -07:00
..
catalyst [SPARK-18950][SQL] Report conflicting fields when merging two StructTypes 2017-07-31 17:19:55 -07:00
core [SPARK-19839][CORE] release longArray in BytesToBytesMap 2017-07-30 18:50:19 -07:00
hive [SPARK-19451][SQL] rangeBetween method should accept Long value as boundary 2017-07-29 10:11:31 -07:00
hive-thriftserver [SPARK-21297][WEB-UI] Add count in 'JDBC/ODBC Server' page. 2017-07-30 18:44:31 +01:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
gen-sql-markdown.py [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00

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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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.