42f59caf73
### What changes were proposed in this pull request? `EXPLAIN CODEGEN <query>` (and Dataset.explain("codegen")) prints out the generated code for each stage of plan. The current implementation is to match `WholeStageCodegenExec` operator in query plan and prints out generated code (https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/debug/package.scala#L111-L118 ). This does not work with AQE as we wrap the whole query plan inside `AdaptiveSparkPlanExec` and do not run whole stage code-gen physical plan rule eagerly (`CollapseCodegenStages`). This introduces unexpected behavior change for EXPLAIN query (and Dataset.explain), as we enable AQE by default now. The change is to explain code-gen for the current executed plan of AQE. ### Why are the changes needed? Make `EXPLAIN CODEGEN` work same as before. ### Does this PR introduce _any_ user-facing change? No (when comparing with latest Spark release 3.1.1). ### How was this patch tested? Added unit test in `ExplainSuite.scala`. Closes #32430 from c21/explain-aqe. Authored-by: Cheng Su <chengsu@fb.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.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
, and SQL configuration documentation that gets included as part of configuration.md
in the main docs
directory.