![]() UNLOAD command uses the same parameters the COPY command uses forĪuthorization. The UNLOAD command needs authorization to write data to Amazon S3. REGION is required when the Amazon S3 bucket isn't in the same Amazon Web Services RegionĪs the Amazon Redshift database. To use Amazon S3 client-side encryption, specify the ENCRYPTED option. ![]() For more information, see Protecting Data Using You can transparently download server-side encrypted files from yourīucket using either the Amazon S3 console or API. The COPYĬommand automatically reads server-side encrypted files during the load UNLOAD automatically creates encrypted files using Amazon S3 server-sideĮncryption (SSE), including the manifest file if MANIFEST is used. If PARALLEL is specified OFF, the data files are written as follows: If MANIFEST is specified, the manifest file is written as follows: Part number to the specified name prefix as follows: UNLOAD writes one or more files per slice. ForĪdded security, UNLOAD connects to Amazon S3 using an HTTPS connection. If you use PARTITION BY, a forward slash (/) is automaticallyĪdded to the end of the name-prefix value if needed. The object names are prefixed with name-prefix. Writes the output file objects, including the manifest file if MANIFEST is The full path, including bucket name, to the location on Amazon S3 where Amazon Redshift ('select * from venue where venuestate=''NV''') TO 's3:// object-path/name-prefix' The permissions needed are similar to the COPY command.įor information about COPY command permissions, see Permissions to access other Amazon Required privileges and permissionsįor the UNLOAD command to succeed, at least SELECT privilege on the data in the database is needed, along with permission to write to the Amazon S3 location. Such as Amazon Athena, Amazon EMR, and Amazon SageMaker.įor more information and example scenarios about using the UNLOAD command, see You can then analyze your data with Redshift Spectrum and other Amazon services You to save data transformation and enrichment you have done in Amazon S3 into your Amazon S3 data Unload and consumes up to 6x less storage in Amazon S3, compared with text formats. You can unload the result of an Amazon Redshift query to your Amazon S3 data lake in Apache Parquet, anĮfficient open columnar storage format for analytics. Ensure that the S3 IP ranges are added to your allow list. You can manage the size of files on Amazon S3, and by extension the number of files, by You can also specify server-side encryption with anĪmazon Key Management Service key (SSE-KMS) or client-side encryption with a customer managed key.īy default, the format of the unloaded file is pipe-delimited ( | ) text. As an alternative you can use psql command line interface to unload table directly to the local system.įor more details, follow my other article, Export Redshift Table Data to Local CSV format.Unloads the result of a query to one or more text, JSON, or Apache Parquet files on Amazon S3, usingĪmazon S3 server-side encryption (SSE-S3). You cannot use unload command to export file to local, as of now it supports only Amazon S3 as a destination. Iam_role 'arn:aws:iam::123456789012:role/myRedshiftRole' Unload Redshift Table to Local System You should provide option HEADER to export results with header. Iam_role 'arn:aws:iam::123456789012:role/myRedshiftRole' Unload Redshift Query Results with Header However, It is recommended to set PARALLEL to TRUE.įor example, unload ('SELECT * from warehouse') ![]() In order to unload results to a single file, you should set PARALLEL to FALSE. Unload Redshift Query Results to a Single File As unload command export the results in parallel, you may notice multiple files in the given location. Instead of supplying an object path for the COPY command. You can use a manifest to load files from different buckets or files that do not share the same prefix. ![]() The command will unload the warehouse table to mentioned Amazon S3 location. You can use a manifest to make sure that the COPY command loads all of the required files, and only the required files, for a data load. However, you can always use DELIMITER option to override default delimiter. ]įollowing is the example to unload warehouse table to S3. You can provide one or many options to unload command. UNLOAD ('SELECT from .UNLOAD ('select-statement')įollowing are the options. You will have to use AWS CLI commands to download created file.įollowing is the unload command syntax. It does not unload data to a local system. Unload command unloads query results to Amazon S3. ![]()
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