spark-instrumented-optimizer/sql
HyukjinKwon 0a2afcec7d [SPARK-30200][SQL][FOLLOW-UP] Expose only explain(mode: String) in Scala side, and clean up related codes
### What changes were proposed in this pull request?

This PR mainly targets:

1. Expose only explain(mode: String) in Scala side
2. Clean up related codes
    - Hide `ExplainMode` under private `execution` package. No particular reason but just because `ExplainUtils` exists there
    - Use `case object` + `trait` pattern in `ExplainMode` to look after `ParseMode`.
    -  Move `Dataset.toExplainString` to `QueryExecution.explainString` to look after `QueryExecution.simpleString`, and deduplicate the codes at `ExplainCommand`.
    - Use `ExplainMode` in `ExplainCommand` too.
    - Add `explainString` to `PythonSQLUtils` to avoid unexpected test failure of PySpark during refactoring Scala codes side.

### Why are the changes needed?

To minimised exposed APIs, deduplicate, and clean up.

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

`Dataset.explain(mode: ExplainMode)` will be removed (which only exists in master).

### How was this patch tested?

Manually tested and existing tests should cover.

Closes #26898 from HyukjinKwon/SPARK-30200-followup.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-12-16 14:42:35 +09:00
..
catalyst [SPARK-30166][SQL] Eliminate compilation warnings in JSONOptions 2019-12-15 08:45:57 -06:00
core [SPARK-30200][SQL][FOLLOW-UP] Expose only explain(mode: String) in Scala side, and clean up related codes 2019-12-16 14:42:35 +09:00
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 [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

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.