95713eb4f2
## What changes were proposed in this pull request? When json_tuple in extracting values from JSON it returns null values within repeated columns except the first one as below: ``` scala scala> spark.sql("""SELECT json_tuple('{"a":1, "b":2}', 'a', 'b', 'a')""").show() +---+---+----+ | c0| c1| c2| +---+---+----+ | 1| 2|null| +---+---+----+ ``` I think this should be consistent with Hive's implementation: ``` hive> SELECT json_tuple('{"a": 1, "b": 2}', 'a', 'a'); ... 1 1 ``` In this PR, we located all the matched indices in `fieldNames` instead of returning the first matched index, i.e., indexOf. ## How was this patch tested? Added test in JsonExpressionsSuite. Author: Jen-Ming Chung <jenmingisme@gmail.com> Closes #19017 from jmchung/SPARK-21804. |
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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 an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows 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
.