fbce2ed0fa
## What changes were proposed in this pull request? Correct some improper with view related method usage Only change test cases like: ``` test("list global temp views") { try { sql("CREATE GLOBAL TEMP VIEW v1 AS SELECT 3, 4") sql("CREATE TEMP VIEW v2 AS SELECT 1, 2") checkAnswer(sql(s"SHOW TABLES IN $globalTempDB"), Row(globalTempDB, "v1", true) :: Row("", "v2", true) :: Nil) assert(spark.catalog.listTables(globalTempDB).collect().toSeq.map(_.name) == Seq("v1", "v2")) } finally { spark.catalog.dropTempView("v1") spark.catalog.dropGlobalTempView("v2") } } ``` other change please review the code. ## How was this patch tested? See test case. Author: xubo245 <601450868@qq.com> Closes #20250 from xubo245/DropTempViewError. |
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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
.