c0cfbb1743
### What changes were proposed in this pull request? This is a followup of https://github.com/apache/spark/pull/29137 , which has some issues when running EXPLAIN FORMATTED ``` AdaptiveSparkPlan (13) +- == Final Plan == * HashAggregate (12) +- CustomShuffleReader (11) +- ShuffleQueryStage (10) +- Exchange (9) +- * HashAggregate (8) +- * Project (7) +- * BroadcastHashJoin Inner BuildRight (6) :- * LocalTableScan (1) +- BroadcastQueryStage (5) +- BroadcastExchange (4) +- * Project (3) +- * LocalTableScan (2) +- == Initial Plan == HashAggregate (unknown) +- Exchange (unknown) +- HashAggregate (unknown) +- Project (unknown) +- BroadcastHashJoin Inner BuildRight (unknown) :- Project (unknown) : +- LocalTableScan (unknown) +- BroadcastExchange (unknown) +- Project (3) +- LocalTableScan (2) ``` Some nodes do not have an ID and show `unknown`. This PR fixes the issue. ### Why are the changes needed? bug fix ### Does this PR introduce _any_ user-facing change? EXPLAIN FORMATTED with AQE displays correctly. ### How was this patch tested? new tests Closes #33067 from cloud-fan/explain. Authored-by: Wenchen Fan <wenchen@databricks.com> Signed-off-by: Liang-Chi Hsieh <viirya@gmail.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.