37fe8c6d3c
### What changes were proposed in this pull request? Currently, we pass the default value `EmptyRow` to method `checkEvaluation` in the `StringExpressionsSuite`, but the default value of the 'checkEvaluation' method parameter is the `emptyRow`. We can clean the parameter for Code Simplifications. ### Why are the changes needed? for Code Simplifications **before**: ``` def testConcat(inputs: String*): Unit = { val expected = if (inputs.contains(null)) null else inputs.mkString checkEvaluation(Concat(inputs.map(Literal.create(_, StringType))), expected, EmptyRow) } ``` **after**: ``` def testConcat(inputs: String*): Unit = { val expected = if (inputs.contains(null)) null else inputs.mkString checkEvaluation(Concat(inputs.map(Literal.create(_, StringType))), expected) } ``` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Pass the Jenkins or Github action. Closes #31510 from yikf/master. Authored-by: yikf <13468507104@163.com> Signed-off-by: Sean Owen <srowen@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.