0a2afcec7d
### 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> |
||
---|---|---|
.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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
.