364d1eaf10
### What changes were proposed in this pull request? This patch proposes a fix of nested column pruning for extracting case-insensitive struct field from array of struct. ### Why are the changes needed? Under case-insensitive mode, nested column pruning rule cannot correctly push down extractor of a struct field of an array of struct, e.g., ```scala val query = spark.table("contacts").select("friends.First", "friends.MiDDle") ``` Error stack: ``` [info] java.lang.IllegalArgumentException: Field "First" does not exist. [info] Available fields: [info] at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:274) [info] at org.apache.spark.sql.types.StructType$$anonfun$apply$1.apply(StructType.scala:274) [info] at scala.collection.MapLike$class.getOrElse(MapLike.scala:128) [info] at scala.collection.AbstractMap.getOrElse(Map.scala:59) [info] at org.apache.spark.sql.types.StructType.apply(StructType.scala:273) [info] at org.apache.spark.sql.execution.ProjectionOverSchema$$anonfun$getProjection$3.apply(ProjectionOverSchema.scala:44) [info] at org.apache.spark.sql.execution.ProjectionOverSchema$$anonfun$getProjection$3.apply(ProjectionOverSchema.scala:41) ``` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Unit test Closes #32059 from viirya/fix-array-nested-pruning. Authored-by: Liang-Chi Hsieh <viirya@gmail.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.