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.