Cloud Datastore

Question 1

Cloud Datastore decsription

Answer 1

Highly-scalable NoSQL managed document database

Question 2

Key points of Cloud Datastore (5)

Answer 2

1. Managed service - serverless
2. Document database
3. Accessed via REST API in Compute Engine, Kubernetes Engine or App Engine
4. Automatically partitions data and scales up or down as needed
5. Supports transactions, indexes and SQL-like queries (using GQL)

Question 3

What is Cloud Datastore suited for?

Answer 3

Applications that demand high scalability, structured data and don’t need strong consistency

Question 4

Key points of a document database (6)

Answer 4

1. Does not use relational model and does not require fixed structure or schema
2. Data organized into documents
3. Documents are made up of key-value pairs called entities
4. Entities do not need to have the same set of properties
5. Allows for a flexible schema
6. Does not support relational operations like joining tables or computing aggregates
7. Kind is analogous to a table name

Question 5

How do you import/export Cloud Datastore data?

Answer 5

Done via shell only and data is stored in a bucket in Cloud Storage

Question 6

How do you export Cloud Datastore data via shell, and what files does it create?

Answer 6

gcloud datastore export –namespaces=”(default)” gs://[BUCKET]

1. it will create a folder using the date and time of the export
2. the folder will contain a metadata file and a folder containing the exported data
3. the metadata file is used when importing that data

Question 7

What permission does someone doing a Cloud Datastore export need?

Answer 7

datastore.database.export