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Takeshi Yamamuro f483a13d4a [SPARK-30231][SQL][PYTHON][FOLLOWUP] Make error messages clear in PySpark df.explain 
### What changes were proposed in this pull request?

This pr is a followup of #26861 to address minor comments from viirya.

### Why are the changes needed?

For better error messages.

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

No.

### How was this patch tested?

Manually tested.

Closes #26886 from maropu/SPARK-30231-FOLLOWUP.

Authored-by: Takeshi Yamamuro <yamamuro@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-12-14 14:26:50 -08:00
..
catalyst [SPARK-30066][SQL] Support columnar execution on interval types 2019-12-14 13:10:46 -08:00
core [SPARK-30231][SQL][PYTHON][FOLLOWUP] Make error messages clear in PySpark df.explain 2019-12-14 14:26:50 -08:00
hive [SPARK-30238][SQL] hive partition pruning can only support string and integral types 2019-12-12 13:07:20 -08:00
hive-thriftserver [SPARK-30125][SQL] Remove PostgreSQL dialect 2019-12-11 01:22:34 +08:00
create-docs.sh
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
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.