The target-kinesis loader sends data into Amazon Kinesis after it was pulled from a source using an extractor
Alternate Implementations
-
Marouane Azlaf
- ProntoPro (default)
Getting Started
Prerequisites
If you haven't already, follow the initial steps of the Getting Started guide:
Installation and configuration
-
Add the target-kinesis loader to your
project using
:meltano add -
Configure the target-kinesis
settings using
:meltano config
meltano add loader target-kinesismeltano config target-kinesis set --interactiveNext steps
Follow the remaining steps of the Getting Started guide:
If you run into any issues, learn how to get help.
Capabilities
This plugin currently has no capabilities defined. If you know the capabilities required by this plugin, please contribute!Settings
The
target-kinesis settings that are known to Meltano are documented below. To quickly
find the setting you're looking for, click on any setting name from the list:
aws_access_key_idaws_secret_access_keydata_chunksis_firehosepartition_keyrecord_chunksregionstream_name
You can also list these settings using
with the meltano configlist
subcommand:
meltano config target-kinesis list
You can
override these settings or specify additional ones
in your meltano.yml by adding the settings key.
Please consider adding any settings you have defined locally to this definition on MeltanoHub by making a pull request to the YAML file that defines the settings for this plugin.
AWS S3 Access Key ID (aws_access_key_id)
-
Environment variable:
TARGET_KINESIS_AWS_ACCESS_KEY_ID
S3 Access Key Id. If not provided, aws_profile or AWS_ACCESS_KEY_ID environment variable will be used.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set aws_access_key_id [value]AWS S3 Secret Access Key (aws_secret_access_key)
-
Environment variable:
TARGET_KINESIS_AWS_SECRET_ACCESS_KEY
S3 Secret Access Key. If not provided, aws_profile or AWS_ACCESS_KEY_ID environment variable will be used.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set aws_secret_access_key [value]Data Chunks (data_chunks)
-
Environment variable:
TARGET_KINESIS_DATA_CHUNKS
(Default - 1000) The max size of data per chunk.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set data_chunks [value]Is Firehouse (is_firehose)
-
Environment variable:
TARGET_KINESIS_IS_FIREHOSE
(Default False) Whether to user a Firehouse client or not.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set is_firehose [value]Partition Key (partition_key)
-
Environment variable:
TARGET_KINESIS_PARTITION_KEY
(Default - id) The partition key to use when writing to Kinesis.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set partition_key [value]Record Chunks (record_chunks)
-
Environment variable:
TARGET_KINESIS_RECORD_CHUNKS
(Default - 10) The max number of records per chunk.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set record_chunks [value]AWS Region (region)
-
Environment variable:
TARGET_KINESIS_REGION
The AWS region to use i.e. us-east-2.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set region [value]Stream Name (stream_name)
-
Environment variable:
TARGET_KINESIS_STREAM_NAME
The name of the Kinesis stream to write to.
Configure this setting directly using the following Meltano command:
meltano config target-kinesis set stream_name [value]Something missing?
This page is generated from a YAML file that you can contribute changes to.
Edit it on GitHub!Looking for help?
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