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DatastoreSchemasCountToText.java
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DatastoreSchemasCountToText.java
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/*
* Copyright (C) 2018 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy of
* the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations under
* the License.
*/
package com.google.cloud.teleport.templates;
import com.google.cloud.teleport.templates.common.DatastoreConverters.DatastoreReadSchemaCount;
import com.google.cloud.teleport.templates.common.DatastoreConverters.DatastoreReadSchemaCountOptions;
import com.google.cloud.teleport.templates.common.TextConverters.FilesystemWriteOptions;
import org.apache.beam.sdk.Pipeline;
import org.apache.beam.sdk.io.TextIO;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
/**
* Dataflow template which pulls a list and count of unique schemas for a given Entity / GQL Query.
* This information can be used to help migrate Datastore Data to Schemad systems such-as a RDBMS.
*/
public class DatastoreSchemasCountToText {
interface DatastoreSchemaCountToTextOptions
extends PipelineOptions, DatastoreReadSchemaCountOptions, FilesystemWriteOptions {}
/**
* Runs a pipeline which reads in Entities from datastore, parses the Entity's schema, and counts
* the unique number of schemas.
*
* @param args arguments to the pipeline
*/
public static void main(String[] args) {
DatastoreSchemaCountToTextOptions options =
PipelineOptionsFactory.fromArgs(args)
.withValidation()
.as(DatastoreSchemaCountToTextOptions.class);
Pipeline pipeline = Pipeline.create(options);
pipeline
.apply(
DatastoreReadSchemaCount.newBuilder()
.setGqlQuery(options.getDatastoreReadGqlQuery())
.setProjectId(options.getDatastoreReadProjectId())
.setNamespace(options.getDatastoreReadNamespace())
.build())
.apply(TextIO.write().to(options.getTextWritePrefix()).withSuffix(".json"));
pipeline.run();
}
}