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LoadPartitionedTable.java
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LoadPartitionedTable.java
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/*
* Copyright 2020 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.example.bigquery;
// [START bigquery_load_table_partitioned]
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.Field;
import com.google.cloud.bigquery.FormatOptions;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobId;
import com.google.cloud.bigquery.JobInfo;
import com.google.cloud.bigquery.LoadJobConfiguration;
import com.google.cloud.bigquery.Schema;
import com.google.cloud.bigquery.StandardSQLTypeName;
import com.google.cloud.bigquery.TableId;
import com.google.cloud.bigquery.TimePartitioning;
import java.time.Duration;
import java.time.temporal.ChronoUnit;
import java.util.UUID;
public class LoadPartitionedTable {
public static void main(String[] args) throws Exception {
// TODO(developer): Replace these variables before running the sample.
String datasetName = "MY_DATASET_NAME";
String tableName = "MY_TABLE_NAME";
String sourceUri = "/path/to/file.csv";
loadPartitionedTable(datasetName, tableName, sourceUri);
}
public static void loadPartitionedTable(String datasetName, String tableName, String sourceUri)
throws Exception {
try {
// Initialize client that will be used to send requests. This client only needs to be created
// once, and can be reused for multiple requests.
BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();
TableId tableId = TableId.of(datasetName, tableName);
Schema schema =
Schema.of(
Field.of("name", StandardSQLTypeName.STRING),
Field.of("post_abbr", StandardSQLTypeName.STRING),
Field.of("date", StandardSQLTypeName.DATE));
// Configure time partitioning. For full list of options, see:
// https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#TimePartitioning
TimePartitioning partitioning =
TimePartitioning.newBuilder(TimePartitioning.Type.DAY)
.setField("date")
.setExpirationMs(Duration.of(90, ChronoUnit.DAYS).toMillis())
.build();
LoadJobConfiguration loadJobConfig =
LoadJobConfiguration.builder(tableId, sourceUri)
.setFormatOptions(FormatOptions.csv())
.setSchema(schema)
.setTimePartitioning(partitioning)
.build();
// Create a job ID so that we can safely retry.
JobId jobId = JobId.of(UUID.randomUUID().toString());
Job loadJob = bigquery.create(JobInfo.newBuilder(loadJobConfig).setJobId(jobId).build());
// Load data from a GCS parquet file into the table
// Blocks until this load table job completes its execution, either failing or succeeding.
Job completedJob = loadJob.waitFor();
// Check for errors
if (completedJob == null) {
throw new Exception("Job not executed since it no longer exists.");
} else if (completedJob.getStatus().getError() != null) {
// You can also look at queryJob.getStatus().getExecutionErrors() for all
// errors, not just the latest one.
throw new Exception(
"BigQuery was unable to load into the table due to an error: \n"
+ loadJob.getStatus().getError());
}
System.out.println("Data successfully loaded into time partitioned table during load job");
} catch (BigQueryException | InterruptedException e) {
System.out.println(
"Data not loaded into time partitioned table during load job \n" + e.toString());
}
}
}
// [END bigquery_load_table_partitioned]