42c0b175ce
### What changes were proposed in this pull request? This PR aims to fix `semanticEquals` works correctly on `GetMapValue` expressions having literal maps with `ArrayBasedMapData` and `GenericArrayData`. ### Why are the changes needed? This is a regression from Apache Spark 1.6.x. ```scala scala> sc.version res1: String = 1.6.3 scala> sqlContext.sql("SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]").show +---+ |_c0| +---+ | v1| +---+ ``` Apache Spark 2.x ~ 3.0.1 raise`RuntimeException` for the following queries. ```sql CREATE TABLE t USING ORC AS SELECT map('k1', 'v1') m, 'k1' k SELECT map('k1', 'v1')[k] FROM t GROUP BY 1 SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k] SELECT map('k1', 'v1')[k] a FROM t GROUP BY a ``` **BEFORE** ```scala Caused by: java.lang.RuntimeException: Couldn't find k#3 in [keys: [k1], values: [v1][k#3]#6] at scala.sys.package$.error(package.scala:27) at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:85) at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:79) at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52) ``` **AFTER** ```sql spark-sql> SELECT map('k1', 'v1')[k] FROM t GROUP BY 1; v1 Time taken: 1.278 seconds, Fetched 1 row(s) spark-sql> SELECT map('k1', 'v1')[k] FROM t GROUP BY map('k1', 'v1')[k]; v1 Time taken: 0.313 seconds, Fetched 1 row(s) spark-sql> SELECT map('k1', 'v1')[k] a FROM t GROUP BY a; v1 Time taken: 0.265 seconds, Fetched 1 row(s) ``` ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Pass the CIs with the newly added test case. Closes #30246 from dongjoon-hyun/SPARK-33338. Authored-by: Dongjoon Hyun <dhyun@apple.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.