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Google Cloud Dataflow can't import 'google.cloud.datastore'


Google Cloud Dataflow can't import 'google.cloud.datastore'

By : Luigi Phil
Date : November 22 2020, 03:01 PM
Any of those help External dependencies must be installed in setup.py and this file should be specified in pipeline parameters as --setup_file. In the setup.py you can either install you package by using custom command
code :
pip install google-cloud-datastore==1.3.0
REQUIRED_PACKAGES = ["google-cloud-datastore==1.3.0"]


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BigQuery failed to import Cloud Datastore backup file via Google Cloud Storage

BigQuery failed to import Cloud Datastore backup file via Google Cloud Storage


By : N. Tabas
Date : March 29 2020, 07:55 AM
hop of those help? Found the reason now. I shall use the file with ".backup_info" suffix instead of arbitrary data file.
Cheers!
Google Cloud Dataflow ETL (Datastore -> Transform -> BigQuery)

Google Cloud Dataflow ETL (Datastore -> Transform -> BigQuery)


By : Michal Strapaty
Date : March 29 2020, 07:55 AM
I wish this help you Dataflow can absolutely be used for this purpose. In fact, Dataflow's scalability should make the process fast and relatively easy.
Both of your approaches should work -- I'd give a preference to the second one of using a batch pipeline to move the existing data, and then a streaming pipeline to handle new data via Cloud Pub/Sub. In addition to the data movement, Dataflow allow arbitrary analytics/manipulation to be performed on the data itself.
403 error when attempting to access Google Cloud Datastore through Dataflow

403 error when attempting to access Google Cloud Datastore through Dataflow


By : Paul Sirianni
Date : March 29 2020, 07:55 AM
around this issue It looks like the permissions for your Datastore are not configured correctly.
Here are two generic pieces of advice:
Deleting or updating Datastore properties using Google Cloud Dataflow

Deleting or updating Datastore properties using Google Cloud Dataflow


By : Vinny DeGenova
Date : March 29 2020, 07:55 AM
I wish this helpful for you Currently Google Cloud Dataflow's Java SDK uses Datastore API v1beta2 and there's no way to directly add a property to an entity, not even using DatastoreHelper.getPropertyMap and adding properties to the resulting Map because that method returns an UnmodifiableMap.
When they switch to v1beta3 the properties will be exposed as just a map, according to a team member.
code :
Entity oldEntity = c.element();

// We need to get the property map, but the one from DatastoreHelper is an unmodifiableMap
Map<String, Value> oldEntity_map = DatastoreHelper.getPropertyMap(oldEntity);
Map<String, Value> newEntity_map = new HashMap<String, Value>();
newEntity_map.putAll(oldEntity_map);

// Adding or updating a property
newEntity_map.put("newProperty", DatastoreHelper.makeValue("Value").build());
// Deleting a property
newEntity_map.remove("delete-this");

Entity.Builder updatedEntity = Entity.newBuilder(oldEntity);
updatedEntity.clear();
updatedEntity.setKey(oldEntity.getKey());

for (Map.Entry<String, Value> property : newEntity_map.entrySet())
{
    updatedEntity.addProperty(
       DatastoreHelper.makeProperty(property.getKey(), property.getValue()));
}

c.output(updatedEntity.build());
Can no longer install `google-cloud-datastore` dependency for Google Cloud Dataflow jobs in requirements.txt file

Can no longer install `google-cloud-datastore` dependency for Google Cloud Dataflow jobs in requirements.txt file


By : hediye delkhosh
Date : March 29 2020, 07:55 AM
I hope this helps you . I ended up getting it working by making a minimal collection of pipelines and adding the dependencies one by one until I found some combination that worked. The dependencies are as follows
code :
Flask
gunicorn
apache-beam[gcp]==2.6.0
oauth2client==3.0.0
google-cloud-datastore==1.3.0
google-cloud-pubsub==0.28.0
google-cloud-core==0.27.0
google-cloud==0.34.0
if os.path.exists('requirements.txt'):
    with open('requirements.txt') as fh:
        REQUIRED_PACKAGES=[line.strip() for line in fh.readlines()]
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