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docs(samples): add update table using dml query sample (#424)
Fixes #413
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stephaniewang526 committed Jun 8, 2020
1 parent 9ca2064 commit 3902ba1cf0d8a88d3e6f30b6606067503487c77d
@@ -0,0 +1,10 @@
{"id":"2ad525d6-c832-4c3d-b7fe-59d104885519","user_id":"38","login_time":"1.47766087E9","logout_time":"1.477661109E9","ip_address":"192.0.2.12"}
{"id":"53d65e20-6ea9-4650-98d9-a2111fbd1122","user_id":"88","login_time":"1.47707544E9","logout_time":"1.477075519E9","ip_address":"192.0.2.88"}
{"id":"5e6c3021-d5e7-4ccd-84b2-adfa9176d13d","user_id":"39","login_time":"1.474022869E9","logout_time":"1.474022961E9","ip_address":"203.0.113.52"}
{"id":"6196eefa-1498-4567-8ef0-498845b888d9","user_id":"52","login_time":"1.478604612E9","logout_time":"1.478604691E9","ip_address":"203.0.113.169"}
{"id":"70656dc5-7e0f-49cf-9e00-f06ed93c1f5b","user_id":"46","login_time":"1.474089924E9","logout_time":"1.474090227E9","ip_address":"192.0.2.10"}
{"id":"aafa5eef-ad49-49a7-9a0f-fbc7fd639bd3","user_id":"40","login_time":"1.478031161E9","logout_time":"1.478031388E9","ip_address":"203.0.113.18"}
{"id":"d2792fc2-24dd-4260-9456-3fbe6cdfdd90","user_id":"5","login_time":"1.481259081E9","logout_time":"1.481259247E9","ip_address":"192.0.2.140"}
{"id":"d835dc49-32f9-4790-b4eb-dddee62e0dcc","user_id":"62","login_time":"1.478892977E9","logout_time":"1.478893219E9","ip_address":"203.0.113.83"}
{"id":"f4a0d3c7-351f-471c-8e11-e093e7a6ce75","user_id":"89","login_time":"1.459031555E9","logout_time":"1.459031831E9","ip_address":"203.0.113.233"}
{"id":"f6e9f526-5b22-4679-9c3e-56a636e815bb","user_id":"97","login_time":"1.482426034E9","logout_time":"1.482426415E9","ip_address":"203.0.113.167"}
@@ -0,0 +1,10 @@
{"id":"2ad525d6-c832-4c3d-b7fe-59d104885519","user_id":"38","login_time":"1.47766087E9","logout_time":"1.477661109E9","ip_address":"192.0.2.12"}
{"id":"53d65e20-6ea9-4650-98d9-a2111fbd1122","user_id":"88","login_time":"1.47707544E9","logout_time":"1.477075519E9","ip_address":"192.0.2.88"}
{"id":"5e6c3021-d5e7-4ccd-84b2-adfa9176d13d","user_id":"39","login_time":"1.474022869E9","logout_time":"1.474022961E9","ip_address":"203.0.113.52"}
{"id":"6196eefa-1498-4567-8ef0-498845b888d9","user_id":"52","login_time":"1.478604612E9","logout_time":"1.478604691E9","ip_address":"203.0.113.169"}
{"id":"70656dc5-7e0f-49cf-9e00-f06ed93c1f5b","user_id":"46","login_time":"1.474089924E9","logout_time":"1.474090227E9","ip_address":"192.0.2.10"}
{"id":"aafa5eef-ad49-49a7-9a0f-fbc7fd639bd3","user_id":"40","login_time":"1.478031161E9","logout_time":"1.478031388E9","ip_address":"203.0.113.18"}
{"id":"d2792fc2-24dd-4260-9456-3fbe6cdfdd90","user_id":"5","login_time":"1.481259081E9","logout_time":"1.481259247E9","ip_address":"192.0.2.140"}
{"id":"d835dc49-32f9-4790-b4eb-dddee62e0dcc","user_id":"62","login_time":"1.478892977E9","logout_time":"1.478893219E9","ip_address":"203.0.113.83"}
{"id":"f4a0d3c7-351f-471c-8e11-e093e7a6ce75","user_id":"89","login_time":"1.459031555E9","logout_time":"1.459031831E9","ip_address":"203.0.113.233"}
{"id":"f6e9f526-5b22-4679-9c3e-56a636e815bb","user_id":"97","login_time":"1.482426034E9","logout_time":"1.482426415E9","ip_address":"203.0.113.167"}
@@ -0,0 +1,113 @@
/*
* 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_update_with_dml]
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.FormatOptions;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobId;
import com.google.cloud.bigquery.QueryJobConfiguration;
import com.google.cloud.bigquery.QueryParameterValue;
import com.google.cloud.bigquery.TableDataWriteChannel;
import com.google.cloud.bigquery.TableId;
import com.google.cloud.bigquery.TableResult;
import com.google.cloud.bigquery.WriteChannelConfiguration;
import java.io.IOException;
import java.io.OutputStream;
import java.nio.channels.Channels;
import java.nio.file.FileSystems;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.UUID;

// Sample to update data in BigQuery tables using DML query
public class UpdateTableDML {

public static void runUpdateTableDML() throws IOException, InterruptedException {
// TODO(developer): Replace these variables before running the sample.
String datasetName = "MY_DATASET_NAME";
String tableName = "MY_TABLE_NAME";
updateTableDML(datasetName, tableName);
}

public static void updateTableDML(String datasetName, String tableName)
throws IOException, InterruptedException {
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();

// Load JSON file into UserSessions table
TableId tableId = TableId.of(datasetName, tableName);

WriteChannelConfiguration writeChannelConfiguration =
WriteChannelConfiguration.newBuilder(tableId)
.setFormatOptions(FormatOptions.json())
.build();

// Imports a local JSON file into a table.
Path jsonPath = FileSystems.getDefault().getPath("src/test/resources", "userSessionsData.json");

// The location and JobName must be specified; other fields can be auto-detected.
String jobName = "jobId_" + UUID.randomUUID().toString();
JobId jobId = JobId.newBuilder().setLocation("us").setJob(jobName).build();

try (TableDataWriteChannel writer = bigquery.writer(jobId, writeChannelConfiguration);
OutputStream stream = Channels.newOutputStream(writer)) {
Files.copy(jsonPath, stream);
}

// Get the Job created by the TableDataWriteChannel and wait for it to complete.
Job job = bigquery.getJob(jobId);
Job completedJob = job.waitFor();
if (completedJob == null) {
System.out.println("Job not executed since it no longer exists.");
return;
} else if (completedJob.getStatus().getError() != null) {
System.out.println(
"BigQuery was unable to load local file to the table due to an error: \n"
+ job.getStatus().getError());
return;
}

System.out.println(job.getStatistics().toString() + " userSessionsData json uploaded successfully");

// Write a DML query to modify UserSessions table
// To create DML query job to mask the last octet in every row's ip_address column
String dmlQuery = String.format("UPDATE `%s.%s` \n"
+ "SET ip_address = REGEXP_REPLACE(ip_address, r\"(\\.[0-9]+)$\", \".0\")\n"
+ "WHERE TRUE", datasetName, tableName);

QueryJobConfiguration dmlQueryConfig =
QueryJobConfiguration.newBuilder(dmlQuery).build();

// Execute the query.
TableResult result = bigquery.query(dmlQueryConfig);

// Print the results.
result.iterateAll().forEach(rows -> rows.forEach(row -> System.out.println(row.getValue())));

System.out.println("Table updated successfully using DML");
} catch (BigQueryException e) {
System.out.println("Table update failed \n" + e.toString());
}
}
}
// [END bigquery_update_with_dml]
@@ -0,0 +1,92 @@
/*
* 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;

import static com.google.common.truth.Truth.assertThat;
import static junit.framework.TestCase.assertNotNull;

import com.google.cloud.bigquery.Field;
import com.google.cloud.bigquery.LegacySQLTypeName;
import com.google.cloud.bigquery.Schema;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.PrintStream;
import java.nio.file.FileSystems;
import java.nio.file.Path;
import java.util.UUID;
import org.junit.After;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;

public class UpdateTableDMLIT {

private String tableName;
private ByteArrayOutputStream bout;
private PrintStream out;

private static final String BIGQUERY_DATASET_NAME = requireEnvVar("BIGQUERY_DATASET_NAME");

private static String requireEnvVar(String varName) {
String value = System.getenv(varName);
assertNotNull(
"Environment variable " + varName + " is required to perform these tests.",
System.getenv(varName));
return value;
}

@BeforeClass
public static void checkRequirements() {
requireEnvVar("BIGQUERY_DATASET_NAME");
}

@Before
public void setUp() {
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
System.setOut(out);

// Create a test table
tableName = "UserSessions_TEST_" + UUID.randomUUID().toString().replace('-', '_');
Schema schema =
Schema.of(
Field.of("id", LegacySQLTypeName.STRING),
Field.of("user_id", LegacySQLTypeName.STRING),
Field.of("login_time", LegacySQLTypeName.STRING),
Field.of("logout_time", LegacySQLTypeName.STRING),
Field.of("ip_address", LegacySQLTypeName.STRING));

CreateTable.createTable(BIGQUERY_DATASET_NAME, tableName, schema);

bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
System.setOut(out);
}

@After
public void tearDown() {
// Clean up
DeleteTable.deleteTable(BIGQUERY_DATASET_NAME, tableName);
System.setOut(null);
}

@Test
public void testUpdateTableDML() throws IOException, InterruptedException {
UpdateTableDML.updateTableDML(BIGQUERY_DATASET_NAME, tableName);
assertThat(bout.toString()).contains("Table updated successfully using DML");
}
}
@@ -0,0 +1,10 @@
{"id":"2ad525d6-c832-4c3d-b7fe-59d104885519","user_id":"38","login_time":"1.47766087E9","logout_time":"1.477661109E9","ip_address":"192.0.2.12"}
{"id":"53d65e20-6ea9-4650-98d9-a2111fbd1122","user_id":"88","login_time":"1.47707544E9","logout_time":"1.477075519E9","ip_address":"192.0.2.88"}
{"id":"5e6c3021-d5e7-4ccd-84b2-adfa9176d13d","user_id":"39","login_time":"1.474022869E9","logout_time":"1.474022961E9","ip_address":"203.0.113.52"}
{"id":"6196eefa-1498-4567-8ef0-498845b888d9","user_id":"52","login_time":"1.478604612E9","logout_time":"1.478604691E9","ip_address":"203.0.113.169"}
{"id":"70656dc5-7e0f-49cf-9e00-f06ed93c1f5b","user_id":"46","login_time":"1.474089924E9","logout_time":"1.474090227E9","ip_address":"192.0.2.10"}
{"id":"aafa5eef-ad49-49a7-9a0f-fbc7fd639bd3","user_id":"40","login_time":"1.478031161E9","logout_time":"1.478031388E9","ip_address":"203.0.113.18"}
{"id":"d2792fc2-24dd-4260-9456-3fbe6cdfdd90","user_id":"5","login_time":"1.481259081E9","logout_time":"1.481259247E9","ip_address":"192.0.2.140"}
{"id":"d835dc49-32f9-4790-b4eb-dddee62e0dcc","user_id":"62","login_time":"1.478892977E9","logout_time":"1.478893219E9","ip_address":"203.0.113.83"}
{"id":"f4a0d3c7-351f-471c-8e11-e093e7a6ce75","user_id":"89","login_time":"1.459031555E9","logout_time":"1.459031831E9","ip_address":"203.0.113.233"}
{"id":"f6e9f526-5b22-4679-9c3e-56a636e815bb","user_id":"97","login_time":"1.482426034E9","logout_time":"1.482426415E9","ip_address":"203.0.113.167"}

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