spark-instrumented-optimizer/docs/sql-ref-syntax.md

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Spark SQL is Apache Spark's module for working with structured data. The SQL Syntax section describes the SQL syntax in detail along with usage examples when applicable. This document provides a list of Data Definition and Data Manipulation Statements, as well as Data Retrieval and Auxiliary Statements.

DDL Statements

• ALTER DATABASE
• ALTER TABLE
• ALTER VIEW
• CREATE DATABASE
• CREATE FUNCTION
• CREATE TABLE
• CREATE VIEW
• DROP DATABASE
• DROP FUNCTION
• DROP TABLE
• DROP VIEW
• REPAIR TABLE
• TRUNCATE TABLE
• USE DATABASE

DML Statements

• INSERT INTO
• INSERT OVERWRITE
• INSERT OVERWRITE DIRECTORY
• INSERT OVERWRITE DIRECTORY with Hive format
• LOAD

Data Retrieval Statements

• SELECT Statement
  • Common Table Expression
  • CLUSTER BY Clause
  • DISTRIBUTE BY Clause
  • GROUP BY Clause
  • HAVING Clause
  • Hints
  • Inline Table
  • JOIN
  • LIKE Predicate
  • LIMIT Clause
  • ORDER BY Clause
  • Set Operators
  • SORT BY Clause
  • TABLESAMPLE
  • Table-valued Function
  • WHERE Clause
  • Window Function
• EXPLAIN

Auxiliary Statements

• ADD FILE
• ADD JAR
• ANALYZE TABLE
• CACHE TABLE
• CLEAR CACHE
• DESCRIBE DATABASE
• DESCRIBE FUNCTION
• DESCRIBE QUERY
• DESCRIBE TABLE
• LIST FILE
• LIST JAR
• REFRESH
• REFRESH TABLE
• RESET
• SET
• SHOW COLUMNS
• SHOW CREATE TABLE
• SHOW DATABASES
• SHOW FUNCTIONS
• SHOW PARTITIONS
• SHOW TABLE EXTENDED
• SHOW TABLES
• SHOW TBLPROPERTIES
• SHOW VIEWS
• UNCACHE TABLE