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Redshift

This page guides you through the process of setting up the Redshift destination connector.

Prerequisites​

The Airbyte Redshift destination allows you to sync data to Redshift.

This Redshift destination connector has two replication strategies:

  1. INSERT: Replicates data via SQL INSERT queries. This is built on top of the destination-jdbc code base and is configured to rely on JDBC 4.2 standard drivers provided by Amazon via Mulesoft here as described in Redshift documentation here. Not recommended for production workloads as this does not scale well.

For INSERT strategy:

  • Host
  • Port
  • Username
  • Password
  • Schema
  • Database
    • This database needs to exist within the cluster provided.
  • JDBC URL Params (optional)
  1. COPY: Replicates data by first uploading data to an S3 bucket and issuing a COPY command. This is the recommended loading approach described by Redshift best practices. Requires an S3 bucket and credentials.

Airbyte automatically picks an approach depending on the given configuration - if S3 configuration is present, Airbyte will use the COPY strategy and vice versa.

For COPY strategy:

  • S3 Bucket Name
    • See this to create an S3 bucket.
  • S3 Bucket Region
    • Place the S3 bucket and the Redshift cluster in the same region to save on networking costs.
  • Access Key Id
    • See this on how to generate an access key.
    • We recommend creating an Airbyte-specific user. This user will require read and write permissions to objects in the staging bucket.
  • Secret Access Key
    • Corresponding key to the above key id.
  • Part Size
    • Affects the size limit of an individual Redshift table. Optional. Increase this if syncing tables larger than 100GB. Files are streamed to S3 in parts. This determines the size of each part, in MBs. As S3 has a limit of 10,000 parts per file, part size affects the table size. This is 10MB by default, resulting in a default table limit of 100GB. Note, a larger part size will result in larger memory requirements. A rule of thumb is to multiply the part size by 10 to get the memory requirement. Modify this with care.
  • S3 Filename pattern
    • The pattern allows you to set the file-name format for the S3 staging file(s), next placeholders combinations are currently supported: {date}, {date:yyyy_MM}, {timestamp}, {timestamp:millis}, {timestamp:micros}, {part_number}, {sync_id}, {format_extension}. Please, don't use empty space and not supportable placeholders, as they won't recognized.

Optional parameters:

  • Bucket Path
    • The directory within the S3 bucket to place the staging data. For example, if you set this to yourFavoriteSubdirectory, we will place the staging data inside s3://yourBucket/yourFavoriteSubdirectory. If not provided, defaults to the root directory.
  • Purge Staging Data
    • Whether to delete the staging files from S3 after completing the sync. Specifically, the connector will create CSV files named bucketPath/namespace/streamName/syncDate_epochMillis_randomUuid.csv containing three columns (ab_id, data, emitted_at). Normally these files are deleted after the COPY command completes; if you want to keep them for other purposes, set purge_staging_data to false.

NOTE: S3 staging does not use the SSH Tunnel option, if configured. SSH Tunnel supports the SQL connection only. S3 is secured through public HTTPS access only.

Step 1: Set up Redshift​

  1. Log in to AWS Management console. If you don't have a AWS account already, you’ll need to create one in order to use the API.
  2. Go to the AWS Redshift service
  3. Create and activate AWS Redshift cluster if you don't have one ready
  4. (Optional) Allow connections from Airbyte to your Redshift cluster (if they exist in separate VPCs)
  5. (Optional) Create a staging S3 bucket (for the COPY strategy).
  6. Create a user with at least create table permissions for the schema. If the schema does not exist you need to add permissions for that, too. Something like this:
GRANT CREATE ON DATABASE database_name TO airflow_user; -- add create schema permission
GRANT usage, create on schema my_schema TO airflow_user; -- add create table permission

Optional Use of SSH Bastion Host​

This connector supports the use of a Bastion host as a gateway to a private Redshift cluster via SSH Tunneling. Setup of the host is beyond the scope of this document but several tutorials are available online to fascilitate this task. Enter the bastion host, port and credentials in the destination configuration.

Step 2: Set up the destination connector in Airbyte​

For Airbyte Cloud:

  1. Log into your Airbyte Cloud account.
  2. In the left navigation bar, click Destinations. In the top-right corner, click + new destination.
  3. On the destination setup page, select Redshift from the Destination type dropdown and enter a name for this connector.
  4. Fill in all the required fields to use the INSERT or COPY strategy
  5. Click Set up destination.

For Airbyte Open Source:

  1. Go to local Airbyte page.
  2. In the left navigation bar, click Destinations. In the top-right corner, click + new destination.
  3. On the destination setup page, select Redshift from the Destination type dropdown and enter a name for this connector.
  4. Fill in all the required fields to use the INSERT or COPY strategy
  5. Click Set up destination.

Supported sync modes​

The Redshift destination connector supports the following sync modes:

  • Full Refresh
  • Incremental - Append Sync
  • Incremental - Append + Deduped

Performance considerations​

Synchronization performance depends on the amount of data to be transferred. Cluster scaling issues can be resolved directly using the cluster settings in the AWS Redshift console

Connector-specific features & highlights​

Notes about Redshift Naming Conventions​

From Redshift Names & Identifiers:

Standard Identifiers​

  • Begin with an ASCII single-byte alphabetic character or underscore character, or a UTF-8 multibyte character two to four bytes long.
  • Subsequent characters can be ASCII single-byte alphanumeric characters, underscores, or dollar signs, or UTF-8 multibyte characters two to four bytes long.
  • Be between 1 and 127 bytes in length, not including quotation marks for delimited identifiers.
  • Contain no quotation marks and no spaces.

Delimited Identifiers​

Delimited identifiers (also known as quoted identifiers) begin and end with double quotation marks ("). If you use a delimited identifier, you must use the double quotation marks for every reference to that object. The identifier can contain any standard UTF-8 printable characters other than the double quotation mark itself. Therefore, you can create column or table names that include otherwise illegal characters, such as spaces or the percent symbol. ASCII letters in delimited identifiers are case-insensitive and are folded to lowercase. To use a double quotation mark in a string, you must precede it with another double quotation mark character.

Therefore, Airbyte Redshift destination will create tables and schemas using the Unquoted identifiers when possible or fallback to Quoted Identifiers if the names are containing special characters.

Data Size Limitations​

Redshift specifies a maximum limit of 1MB (and 65535 bytes for any VARCHAR fields within the JSON record) to store the raw JSON record data. Thus, when a row is too big to fit, the Redshift destination fails to load such data and currently ignores that record. See docs for SUPER and SUPER limitations

Encryption​

All Redshift connections are encrypted using SSL

Output schema​

Each stream will be output into its own raw table in Redshift. Each table will contain 3 columns:

  • _airbyte_ab_id: a uuid assigned by Airbyte to each event that is processed. The column type in Redshift is VARCHAR.
  • _airbyte_emitted_at: a timestamp representing when the event was pulled from the data source. The column type in Redshift is TIMESTAMP WITH TIME ZONE.
  • _airbyte_data: a json blob representing with the event data. The column type in Redshift is SUPER.

Data type mapping​

Redshift TypeAirbyte TypeNotes
booleanboolean
intinteger
floatnumber
varcharstring
date/varchardate
time/varchartime
timestamptz/varchartimestamp_with_timezone
varchararray
varcharobject

Changelog​

VersionDatePull RequestSubject
0.6.92023-10-10#31083Fix precision of numeric values in async destinations
0.6.82023-10-10#31218Clarify configuration groups
0.6.72023-10-06#31153Increase jvm GC retries
0.6.62023-10-06#31129Reduce async buffer size
0.6.52023-08-18#28619Fix duplicate staging object names in concurrent environment (e.g. async)
0.6.42023-08-10#28619Use async method for staging
0.6.32023-08-07#29188Internal code refactoring
0.6.22023-07-24#28618Add hooks in preparation for destinations v2 implementation
0.6.12023-07-14#28345Increment patch to trigger a rebuild
0.6.02023-06-27#27993destination-redshift will fail syncs if records or properties are too large, rather than silently skipping records and succeeding
0.5.02023-06-27#27781License Update: Elv2
0.4.92023-06-21#27555Reduce image size
0.4.82023-05-17#26165Internal code change for future development (install normalization packages inside connector)
0.4.72023-05-01#25698Remove old VARCHAR to SUPER migration Java functionality
0.4.62023-04-27#25346Internal code cleanup
0.4.52023-03-30#24736Improve behavior when throttled by AWS API
0.4.42023-03-29#24671Fail faster in certain error cases
0.4.32023-03-17#23788S3-Parquet: added handler to process null values in arrays
0.4.22023-03-10#23931Added support for periodic buffer flush
0.4.12023-03-10#23466Changed S3 Avro type from Int to Long
0.4.02023-02-28#23523Add SSH Bastion Host configuration options
0.3.562023-01-26#21890Fixed configurable parameter for number of file buffers
0.3.552023-01-26#20631Added support for destination checkpointing with staging
0.3.542023-01-18#21087Wrap Authentication Errors as Config Exceptions
0.3.532023-01-03#17273Flatten JSON arrays to fix maximum size check for SUPER field
0.3.522022-12-30#20879Added configurable parameter for number of file buffers (⛔ this version has a bug and will not work; use 0.3.56 instead)
0.3.512022-10-26#18434Fix empty S3 bucket path handling
0.3.502022-09-14#15668Wrap logs in AirbyteLogMessage
0.3.492022-09-01#16243Fix Json to Avro conversion when there is field name clash from combined restrictions (anyOf, oneOf, allOf fields)
0.3.482022-09-01Added JDBC URL params
0.3.472022-07-15#14494Make S3 output filename configurable.
0.3.462022-06-27#14190Correctly cleanup S3 bucket when using a configured bucket path for S3 staging operations.
0.3.452022-06-25#13916Use the configured bucket path for S3 staging operations.
0.3.442022-06-24#14114Remove "additionalProperties": false from specs for connectors with staging
0.3.432022-06-24#13690Improved discovery for NOT SUPER column
0.3.422022-06-21#14013Add an option to use encryption with staging in Redshift Destination
0.3.402022-06-17#13753Deprecate and remove PART*SIZE_MB fields from connectors based on StreamTransferManager
0.3.392022-06-02#13415Add dropdown to select Uploading Method.
PLEASE NOTICE: After this update your uploading method will be set to Standard, you will need to reconfigure the method to use S3 Staging again.
0.3.372022-05-23#13090Removed redshiftDataTmpTableMode. Some refactoring.
0.3.362022-05-23#12820Improved 'check' operation performance
0.3.352022-05-18#12940Fixed maximum record size for SUPER type
0.3.342022-05-16#12869Fixed NPE in S3 staging check
0.3.332022-05-04#12601Apply buffering strategy for S3 staging
0.3.322022-04-20#12085Fixed bug with switching between INSERT and COPY config
0.3.312022-04-19#12064Added option to support SUPER datatype in _airbyte_raw*** table
0.3.292022-04-05#11729Fixed bug with dashes in schema name
0.3.282022-03-18#11254Fixed missing records during S3 staging
0.3.272022-02-25#10421Refactor JDBC parameters handling
0.3.252022-02-14#9920Updated the size of staging files for S3 staging. Also, added closure of S3 writers to staging files when data has been written to an staging file.
0.3.242022-02-14#10256Add -XX:+ExitOnOutOfMemoryError JVM option
0.3.232021-12-16#8855Add purgeStagingData option to enable/disable deleting the staging data
0.3.222021-12-15#8607Accept a path for the staging data
0.3.212021-12-10#8562Moving classes around for better dependency management
0.3.202021-11-08#7719Improve handling of wide rows by buffering records based on their byte size rather than their count
0.3.192021-10-21#7234Allow SSL traffic only
0.3.172021-10-12#6965Added SSL Support
0.3.162021-10-11#6949Each stream was split into files of 10,000 records each for copying using S3 or GCS
0.3.142021-10-08#5924Fixed AWS S3 Staging COPY is writing records from different table in the same raw table
0.3.132021-09-02#5745Disable STATUPDATE flag when using S3 staging to speed up performance
0.3.122021-07-21#3555Enable partial checkpointing for halfway syncs
0.3.112021-07-20#4874allow additionalProperties in connector spec
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