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Introduction
Google Cloud Datastore is a NoSQL document database built for automatic scaling, high performance, and ease of application development offered by Google on the Google Cloud Platform. Cloud Datastore is built upon Google's Bigtable and Megastore technology.
Use case(s)
- Users would like to batch build a data pipeline to read complete table from Google Cloud Datastore instance.
- Users would like to batch build a data pipeline to perform inserts into Google Cloud Datastore tables in batch
- Users should get relevant information from the tool tip while configuring the Google Cloud Datastore source and Google Cloud Datastore sink
- The tool tip should describe accurately what each field is used for
- Users should get field level lineage for the source and sink that is being used
- Reference documentation be available from the source and sink plugins
User Storie(s)
- Source code in data integrations org
- Integration test code
- Relevant documentation in the source repo and reference documentation section in plugin
Plugin Type
- Batch Source
- Batch Sink
- Real-time Source
- Real-time Sink
- Action
- Post-Run Action
- Aggregate
- Join
- Spark Model
- Spark Compute
Configurables
This section defines properties that are configurable for this plugin.
User Facing Name | Type | Description | Constraints |
---|---|---|---|
Design / Implementation Tips
- Tip #1
- Tip #2
Design
Approach(s)
Properties
Security
Limitation(s)
Future Work
- Some future work – HYDRATOR-99999
- Another future work – HYDRATOR-99999
Test Case(s)
- Test case #1
- Test case #2
Sample Pipeline
Please attach one or more sample pipeline(s) and associated data.
Pipeline #1
Pipeline #2
Table of Contents
Table of Contents style circle
Checklist
- User stories documented
- User stories reviewed
- Design documented
- Design reviewed
- Feature merged
- Examples and guides
- Integration tests
- Documentation for feature
- Short video demonstrating the feature