e3a768dd79
### What changes were proposed in this pull request? element_at with CreateArray not respect one based index. repo step: ``` var df = spark.sql("select element_at(array(3, 2, 1), 0)") df.printSchema() df = spark.sql("select element_at(array(3, 2, 1), 1)") df.printSchema() df = spark.sql("select element_at(array(3, 2, 1), 2)") df.printSchema() df = spark.sql("select element_at(array(3, 2, 1), 3)") df.printSchema() root – element_at(array(3, 2, 1), 0): integer (nullable = false) root – element_at(array(3, 2, 1), 1): integer (nullable = false) root – element_at(array(3, 2, 1), 2): integer (nullable = false) root – element_at(array(3, 2, 1), 3): integer (nullable = true) correct answer should be 0 true which is outOfBounds return default true. 1 false 2 false 3 false ``` For expression eval, it respect the oneBasedIndex, but within checking the nullable, it calculates with zeroBasedIndex using `computeNullabilityFromArray`. ### Why are the changes needed? Correctness issue. ### Does this PR introduce any user-facing change? No. ### How was this patch tested? Added UT and existing UT. Closes #30296 from leanken/leanken-SPARK-33391. Authored-by: xuewei.linxuewei <xuewei.linxuewei@alibaba-inc.com> Signed-off-by: Wenchen Fan <wenchen@databricks.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.