Spark SQL Guide

INSERT OVERWRITE DIRECTORY

Description

The INSERT OVERWRITE DIRECTORY statement overwrites the existing data in the directory with the new values using Spark native format. The inserted rows can be specified by value expressions or result from a query.

Syntax

INSERT OVERWRITE [ LOCAL ] DIRECTORY [ directory_path ]
    USING file_format [ OPTIONS ( key = val [ , ... ] ) ]
    { { VALUES ( { value | NULL } [ , ... ] ) [ , ( ... ) ] } | query }

Parameters

directory_path
Specifies the destination directory. It can also be specified in OPTIONS using path. The LOCAL keyword is used to specify that the directory is on the local file system.
file_format
Specifies the file format to use for the insert. Valid options are TEXT, CSV, JSON, JDBC, PARQUET, ORC, HIVE, DELTA, LIBSVM, or a fully qualified class name of a custom implementation of org.apache.spark.sql.sources.DataSourceRegister.
OPTIONS ( key = val [ , ... ] )
Specifies one or more table property key and value pairs.
VALUES ( { value | NULL } [ , ... ] ) [ , ( ... ) ]
Specifies the values to be inserted. Either an explicitly specified value or a NULL can be inserted. A comma must be used to separate each value in the clause. More than one set of values can be specified to insert multiple rows.
query
A query that produces the rows to be inserted. It can be in one of following formats:
  • a SELECT statement
  • a TABLE statement
  • a FROM statement

Examples

INSERT OVERWRITE DIRECTORY '/tmp/destination'
    USING parquet
    OPTIONS (col1 1, col2 2, col3 'test')
    SELECT * FROM test_table;

INSERT OVERWRITE DIRECTORY
    USING parquet
    OPTIONS ('path' '/tmp/destination', col1 1, col2 2, col3 'test')
    SELECT * FROM test_table;