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ITBigQueryStorageTest.java
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ITBigQueryStorageTest.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.google.cloud.bigquery.storage.v1.it;
import static com.google.common.truth.Truth.assertThat;
import static com.google.common.truth.Truth.assertWithMessage;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertNull;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;
import com.google.api.gax.core.FixedCredentialsProvider;
import com.google.api.gax.core.InstantiatingExecutorProvider;
import com.google.api.gax.rpc.ServerStream;
import com.google.api.gax.rpc.UnauthenticatedException;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.cloud.RetryOption;
import com.google.cloud.ServiceOptions;
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.DatasetInfo;
import com.google.cloud.bigquery.Field;
import com.google.cloud.bigquery.Field.Mode;
import com.google.cloud.bigquery.Job;
import com.google.cloud.bigquery.JobInfo;
import com.google.cloud.bigquery.JobInfo.WriteDisposition;
import com.google.cloud.bigquery.LegacySQLTypeName;
import com.google.cloud.bigquery.QueryJobConfiguration;
import com.google.cloud.bigquery.StandardTableDefinition;
import com.google.cloud.bigquery.TableId;
import com.google.cloud.bigquery.TableInfo;
import com.google.cloud.bigquery.TimePartitioning;
import com.google.cloud.bigquery.storage.v1.BigQueryReadClient;
import com.google.cloud.bigquery.storage.v1.BigQueryReadSettings;
import com.google.cloud.bigquery.storage.v1.CreateReadSessionRequest;
import com.google.cloud.bigquery.storage.v1.DataFormat;
import com.google.cloud.bigquery.storage.v1.ReadRowsRequest;
import com.google.cloud.bigquery.storage.v1.ReadRowsResponse;
import com.google.cloud.bigquery.storage.v1.ReadSession;
import com.google.cloud.bigquery.storage.v1.ReadSession.TableModifiers;
import com.google.cloud.bigquery.storage.v1.ReadSession.TableReadOptions;
import com.google.cloud.bigquery.storage.v1.ReadStream;
import com.google.cloud.bigquery.storage.v1.it.SimpleRowReader.AvroRowConsumer;
import com.google.cloud.bigquery.testing.RemoteBigQueryHelper;
import com.google.common.base.Preconditions;
import com.google.protobuf.Timestamp;
import java.io.ByteArrayInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.math.BigDecimal;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.logging.Logger;
import org.apache.avro.Conversions;
import org.apache.avro.LogicalTypes;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericRecordBuilder;
import org.apache.avro.util.Utf8;
import org.junit.AfterClass;
import org.junit.BeforeClass;
import org.junit.Test;
import org.threeten.bp.Duration;
import org.threeten.bp.Instant;
import org.threeten.bp.LocalDate;
import org.threeten.bp.LocalTime;
import org.threeten.bp.ZoneOffset;
import org.threeten.bp.ZonedDateTime;
import org.threeten.bp.format.DateTimeFormatter;
/** Integration tests for BigQuery Storage API. */
public class ITBigQueryStorageTest {
private static final Logger LOG = Logger.getLogger(ITBigQueryStorageTest.class.getName());
private static final String DATASET = RemoteBigQueryHelper.generateDatasetName();
private static final String DESCRIPTION = "BigQuery Storage Java client test dataset";
private static BigQueryReadClient client;
private static String parentProjectId;
private static BigQuery bigquery;
private static final String FAKE_JSON_CRED_WITH_GOOGLE_DOMAIN =
"{\n"
+ " \"private_key_id\": \"somekeyid\",\n"
+ " \"private_key\": \"-----BEGIN PRIVATE KEY-----\\nMIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggS"
+ "kAgEAAoIBAQC+K2hSuFpAdrJI\\nnCgcDz2M7t7bjdlsadsasad+fvRSW6TjNQZ3p5LLQY1kSZRqBqylRkzteMOyHg"
+ "aR\\n0Pmxh3ILCND5men43j3h4eDbrhQBuxfEMalkG92sL+PNQSETY2tnvXryOvmBRwa/\\nQP/9dJfIkIDJ9Fw9N4"
+ "Bhhhp6mCcRpdQjV38H7JsyJ7lih/oNjECgYAt\\nknddadwkwewcVxHFhcZJO+XWf6ofLUXpRwiTZakGMn8EE1uVa2"
+ "LgczOjwWHGi99MFjxSer5m9\\n1tCa3/KEGKiS/YL71JvjwX3mb+cewlkcmweBKZHM2JPTk0ZednFSpVZMtycjkbLa"
+ "\\ndYOS8V85AgMBewECggEBAKksaldajfDZDV6nGqbFjMiizAKJolr/M3OQw16K6o3/\\n0S31xIe3sSlgW0+UbYlF"
+ "4U8KifhManD1apVSC3csafaspP4RZUHFhtBywLO9pR5c\\nr6S5aLp+gPWFyIp1pfXbWGvc5VY/v9x7ya1VEa6rXvL"
+ "sKupSeWAW4tMj3eo/64ge\\nsdaceaLYw52KeBYiT6+vpsnYrEkAHO1fF/LavbLLOFJmFTMxmsNaG0tuiJHgjshB\\"
+ "n82DpMCbXG9YcCgI/DbzuIjsdj2JC1cascSP//3PmefWysucBQe7Jryb6NQtASmnv\\nCdDw/0jmZTEjpe4S1lxfHp"
+ "lAhHFtdgYTvyYtaLZiVVkCgYEA8eVpof2rceecw/I6\\n5ng1q3Hl2usdWV/4mZMvR0fOemacLLfocX6IYxT1zA1FF"
+ "JlbXSRsJMf/Qq39mOR2\\nSpW+hr4jCoHeRVYLgsbggtrevGmILAlNoqCMpGZ6vDmJpq6ECV9olliDvpPgWOP+\\nm"
+ "YPDreFBGxWvQrADNbRt2dmGsrsCgYEAyUHqB2wvJHFqdmeBsaacewzV8x9WgmeX\\ngUIi9REwXlGDW0Mz50dxpxcK"
+ "CAYn65+7TCnY5O/jmL0VRxU1J2mSWyWTo1C+17L0\\n3fUqjxL1pkefwecxwecvC+gFFYdJ4CQ/MHHXU81Lwl1iWdF"
+ "Cd2UoGddYaOF+KNeM\\nHC7cmqra+JsCgYEAlUNywzq8nUg7282E+uICfCB0LfwejuymR93CtsFgb7cRd6ak\\nECR"
+ "8FGfCpH8ruWJINllbQfcHVCX47ndLZwqv3oVFKh6pAS/vVI4dpOepP8++7y1u\\ncoOvtreXCX6XqfrWDtKIvv0vjl"
+ "HBhhhp6mCcRpdQjV38H7JsyJ7lih/oNjECgYAt\\nkndj5uNl5SiuVxHFhcZJO+XWf6ofLUregtevZakGMn8EE1uVa"
+ "2AY7eafmoU/nZPT\\n00YB0TBATdCbn/nBSuKDESkhSg9s2GEKQZG5hBmL5uCMfo09z3SfxZIhJdlerreP\\nJ7gSi"
+ "dI12N+EZxYd4xIJh/HFDgp7RRO87f+WJkofMQKBgGTnClK1VMaCRbJZPriw\\nEfeFCoOX75MxKwXs6xgrw4W//AYG"
+ "GUjDt83lD6AZP6tws7gJ2IwY/qP7+lyhjEqN\\nHtfPZRGFkGZsdaksdlaksd323423d+15/UvrlRSFPNj1tWQmNKk"
+ "XyRDW4IG1Oa2p\\nrALStNBx5Y9t0/LQnFI4w3aG\\n-----END PRIVATE KEY-----\\n\",\n"
+ " \"project_id\": \"someprojectid\",\n"
+ " \"client_email\": \"someclientid@developer.gserviceaccount.com\",\n"
+ " \"client_id\": \"someclientid.apps.googleusercontent.com\",\n"
+ " \"type\": \"service_account\",\n"
+ " \"universe_domain\": \"googleapis.com\"\n"
+ "}";
private static final String FAKE_JSON_CRED_WITH_INVALID_DOMAIN =
"{\n"
+ " \"private_key_id\": \"somekeyid\",\n"
+ " \"private_key\": \"-----BEGIN PRIVATE KEY-----\\nMIIEvgIBADANBgkqhkiG9w0BAQEFAASCBKgwggS"
+ "kAgEAAoIBAQC+K2hSuFpAdrJI\\nnCgcDz2M7t7bjdlsadsasad+fvRSW6TjNQZ3p5LLQY1kSZRqBqylRkzteMOyHg"
+ "aR\\n0Pmxh3ILCND5men43j3h4eDbrhQBuxfEMalkG92sL+PNQSETY2tnvXryOvmBRwa/\\nQP/9dJfIkIDJ9Fw9N4"
+ "Bhhhp6mCcRpdQjV38H7JsyJ7lih/oNjECgYAt\\nknddadwkwewcVxHFhcZJO+XWf6ofLUXpRwiTZakGMn8EE1uVa2"
+ "LgczOjwWHGi99MFjxSer5m9\\n1tCa3/KEGKiS/YL71JvjwX3mb+cewlkcmweBKZHM2JPTk0ZednFSpVZMtycjkbLa"
+ "\\ndYOS8V85AgMBewECggEBAKksaldajfDZDV6nGqbFjMiizAKJolr/M3OQw16K6o3/\\n0S31xIe3sSlgW0+UbYlF"
+ "4U8KifhManD1apVSC3csafaspP4RZUHFhtBywLO9pR5c\\nr6S5aLp+gPWFyIp1pfXbWGvc5VY/v9x7ya1VEa6rXvL"
+ "sKupSeWAW4tMj3eo/64ge\\nsdaceaLYw52KeBYiT6+vpsnYrEkAHO1fF/LavbLLOFJmFTMxmsNaG0tuiJHgjshB\\"
+ "n82DpMCbXG9YcCgI/DbzuIjsdj2JC1cascSP//3PmefWysucBQe7Jryb6NQtASmnv\\nCdDw/0jmZTEjpe4S1lxfHp"
+ "lAhHFtdgYTvyYtaLZiVVkCgYEA8eVpof2rceecw/I6\\n5ng1q3Hl2usdWV/4mZMvR0fOemacLLfocX6IYxT1zA1FF"
+ "JlbXSRsJMf/Qq39mOR2\\nSpW+hr4jCoHeRVYLgsbggtrevGmILAlNoqCMpGZ6vDmJpq6ECV9olliDvpPgWOP+\\nm"
+ "YPDreFBGxWvQrADNbRt2dmGsrsCgYEAyUHqB2wvJHFqdmeBsaacewzV8x9WgmeX\\ngUIi9REwXlGDW0Mz50dxpxcK"
+ "CAYn65+7TCnY5O/jmL0VRxU1J2mSWyWTo1C+17L0\\n3fUqjxL1pkefwecxwecvC+gFFYdJ4CQ/MHHXU81Lwl1iWdF"
+ "Cd2UoGddYaOF+KNeM\\nHC7cmqra+JsCgYEAlUNywzq8nUg7282E+uICfCB0LfwejuymR93CtsFgb7cRd6ak\\nECR"
+ "8FGfCpH8ruWJINllbQfcHVCX47ndLZwqv3oVFKh6pAS/vVI4dpOepP8++7y1u\\ncoOvtreXCX6XqfrWDtKIvv0vjl"
+ "HBhhhp6mCcRpdQjV38H7JsyJ7lih/oNjECgYAt\\nkndj5uNl5SiuVxHFhcZJO+XWf6ofLUregtevZakGMn8EE1uVa"
+ "2AY7eafmoU/nZPT\\n00YB0TBATdCbn/nBSuKDESkhSg9s2GEKQZG5hBmL5uCMfo09z3SfxZIhJdlerreP\\nJ7gSi"
+ "dI12N+EZxYd4xIJh/HFDgp7RRO87f+WJkofMQKBgGTnClK1VMaCRbJZPriw\\nEfeFCoOX75MxKwXs6xgrw4W//AYG"
+ "GUjDt83lD6AZP6tws7gJ2IwY/qP7+lyhjEqN\\nHtfPZRGFkGZsdaksdlaksd323423d+15/UvrlRSFPNj1tWQmNKk"
+ "XyRDW4IG1Oa2p\\nrALStNBx5Y9t0/LQnFI4w3aG\\n-----END PRIVATE KEY-----\\n\",\n"
+ " \"project_id\": \"someprojectid\",\n"
+ " \"client_email\": \"someclientid@developer.gserviceaccount.com\",\n"
+ " \"client_id\": \"someclientid.apps.googleusercontent.com\",\n"
+ " \"type\": \"service_account\",\n"
+ " \"universe_domain\": \"fake.domain\"\n"
+ "}";
@BeforeClass
public static void beforeClass() throws IOException {
client = BigQueryReadClient.create();
parentProjectId = String.format("projects/%s", ServiceOptions.getDefaultProjectId());
LOG.info(
String.format(
"%s tests running with parent project: %s",
ITBigQueryStorageTest.class.getSimpleName(), parentProjectId));
RemoteBigQueryHelper bigqueryHelper = RemoteBigQueryHelper.create();
bigquery = bigqueryHelper.getOptions().getService();
DatasetInfo datasetInfo =
DatasetInfo.newBuilder(/* datasetId = */ DATASET).setDescription(DESCRIPTION).build();
bigquery.create(datasetInfo);
LOG.info("Created test dataset: " + DATASET);
}
@AfterClass
public static void afterClass() {
if (client != null) {
client.close();
}
if (bigquery != null) {
RemoteBigQueryHelper.forceDelete(bigquery, DATASET);
LOG.info("Deleted test dataset: " + DATASET);
}
}
@Test
public void testSimpleRead() {
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
ReadSession session =
client.createReadSession(
/* parent = */ parentProjectId,
/* readSession = */ ReadSession.newBuilder()
.setTable(table)
.setDataFormat(DataFormat.AVRO)
.build(),
/* maxStreamCount = */ 1);
assertEquals(
String.format(
"Did not receive expected number of streams for table '%s' CreateReadSession response:%n%s",
table, session.toString()),
1,
session.getStreamsCount());
ReadRowsRequest readRowsRequest =
ReadRowsRequest.newBuilder().setReadStream(session.getStreams(0).getName()).build();
long rowCount = 0;
ServerStream<ReadRowsResponse> stream = client.readRowsCallable().call(readRowsRequest);
for (ReadRowsResponse response : stream) {
rowCount += response.getRowCount();
}
assertEquals(164_656, rowCount);
}
@Test
public void testSimpleReadAndResume() {
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
ReadSession session =
client.createReadSession(
/* parent = */ parentProjectId,
/* readSession = */ ReadSession.newBuilder()
.setTable(table)
.setDataFormat(DataFormat.AVRO)
.build(),
/* maxStreamCount = */ 1);
assertEquals(
String.format(
"Did not receive expected number of streams for table '%s' CreateReadSession response:%n%s",
table, session.toString()),
1,
session.getStreamsCount());
// We have to read some number of rows in order to be able to resume. More details:
long rowCount = ReadStreamToOffset(session.getStreams(0), /* rowOffset = */ 34_846);
ReadRowsRequest readRowsRequest =
ReadRowsRequest.newBuilder()
.setReadStream(session.getStreams(0).getName())
.setOffset(rowCount)
.build();
ServerStream<ReadRowsResponse> stream = client.readRowsCallable().call(readRowsRequest);
for (ReadRowsResponse response : stream) {
rowCount += response.getRowCount();
}
// Verifies that the number of rows skipped and read equals to the total number of rows in the
// table.
assertEquals(164_656, rowCount);
}
@Test
public void testFilter() throws IOException {
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
TableReadOptions options =
TableReadOptions.newBuilder().setRowRestriction("word_count > 100").build();
CreateReadSessionRequest request =
CreateReadSessionRequest.newBuilder()
.setParent(parentProjectId)
.setMaxStreamCount(1)
.setReadSession(
ReadSession.newBuilder()
.setTable(table)
.setReadOptions(options)
.setDataFormat(DataFormat.AVRO)
.build())
.build();
ReadSession session = client.createReadSession(request);
assertEquals(
String.format(
"Did not receive expected number of streams for table '%s' CreateReadSession response:%n%s",
table, session.toString()),
1,
session.getStreamsCount());
ReadRowsRequest readRowsRequest =
ReadRowsRequest.newBuilder().setReadStream(session.getStreams(0).getName()).build();
SimpleRowReader reader =
new SimpleRowReader(new Schema.Parser().parse(session.getAvroSchema().getSchema()));
long rowCount = 0;
ServerStream<ReadRowsResponse> stream = client.readRowsCallable().call(readRowsRequest);
for (ReadRowsResponse response : stream) {
rowCount += response.getRowCount();
reader.processRows(
response.getAvroRows(),
new AvroRowConsumer() {
@Override
public void accept(GenericData.Record record) {
Long wordCount = (Long) record.get("word_count");
assertWithMessage("Row not matching expectations: %s", record.toString())
.that(wordCount)
.isGreaterThan(100L);
}
});
}
assertEquals(1_333, rowCount);
}
@Test
public void testColumnSelection() throws IOException {
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
TableReadOptions options =
TableReadOptions.newBuilder()
.addSelectedFields("word")
.addSelectedFields("word_count")
.setRowRestriction("word_count > 100")
.build();
CreateReadSessionRequest request =
CreateReadSessionRequest.newBuilder()
.setParent(parentProjectId)
.setMaxStreamCount(1)
.setReadSession(
ReadSession.newBuilder()
.setTable(table)
.setReadOptions(options)
.setDataFormat(DataFormat.AVRO)
.build())
.build();
ReadSession session = client.createReadSession(request);
assertEquals(
String.format(
"Did not receive expected number of streams for table '%s' CreateReadSession response:%n%s",
table, session.toString()),
1,
session.getStreamsCount());
ReadRowsRequest readRowsRequest =
ReadRowsRequest.newBuilder().setReadStream(session.getStreams(0).getName()).build();
Schema avroSchema = new Schema.Parser().parse(session.getAvroSchema().getSchema());
String actualSchemaMessage =
String.format(
"Unexpected schema. Actual schema:%n%s", avroSchema.toString(/* pretty = */ true));
assertEquals(actualSchemaMessage, Schema.Type.RECORD, avroSchema.getType());
assertEquals(actualSchemaMessage, "__root__", avroSchema.getName());
assertEquals(actualSchemaMessage, 2, avroSchema.getFields().size());
assertEquals(
actualSchemaMessage, Schema.Type.STRING, avroSchema.getField("word").schema().getType());
assertEquals(
actualSchemaMessage,
Schema.Type.LONG,
avroSchema.getField("word_count").schema().getType());
SimpleRowReader reader = new SimpleRowReader(avroSchema);
long rowCount = 0;
ServerStream<ReadRowsResponse> stream = client.readRowsCallable().call(readRowsRequest);
for (ReadRowsResponse response : stream) {
rowCount += response.getRowCount();
reader.processRows(
response.getAvroRows(),
new AvroRowConsumer() {
@Override
public void accept(GenericData.Record record) {
String rowAssertMessage =
String.format("Row not matching expectations: %s", record.toString());
Long wordCount = (Long) record.get("word_count");
assertWithMessage(rowAssertMessage).that(wordCount).isGreaterThan(100L);
Utf8 word = (Utf8) record.get("word");
assertWithMessage(rowAssertMessage).that(word.length()).isGreaterThan(0);
}
});
}
assertEquals(1_333, rowCount);
}
@Test
public void testReadAtSnapshot() throws InterruptedException, IOException {
Field intFieldSchema =
Field.newBuilder("col", LegacySQLTypeName.INTEGER)
.setMode(Mode.REQUIRED)
.setDescription("IntegerDescription")
.build();
com.google.cloud.bigquery.Schema tableSchema =
com.google.cloud.bigquery.Schema.of(intFieldSchema);
TableId testTableId = TableId.of(/* dataset = */ DATASET, /* table = */ "test_read_snapshot");
bigquery.create(TableInfo.of(testTableId, StandardTableDefinition.of(tableSchema)));
testTableId.toString();
Job firstJob =
RunQueryAppendJobAndExpectSuccess(
/* destinationTableId = */ testTableId, /* query = */ "SELECT 1 AS col");
Job secondJob =
RunQueryAppendJobAndExpectSuccess(
/* destinationTableId = */ testTableId, /* query = */ "SELECT 2 AS col");
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ testTableId.getTable());
final List<Long> rowsAfterFirstSnapshot = new ArrayList<>();
ProcessRowsAtSnapshot(
/* table = */ table,
/* snapshotInMillis = */ firstJob.getStatistics().getEndTime(),
/* filter = */ null,
/* consumer = */ new AvroRowConsumer() {
@Override
public void accept(GenericData.Record record) {
rowsAfterFirstSnapshot.add((Long) record.get("col"));
}
});
assertEquals(Arrays.asList(1L), rowsAfterFirstSnapshot);
final List<Long> rowsAfterSecondSnapshot = new ArrayList<>();
ProcessRowsAtSnapshot(
/* table = */ table,
/* snapshotInMillis = */ secondJob.getStatistics().getEndTime(),
/* filter = */ null,
/* consumer = */ new AvroRowConsumer() {
@Override
public void accept(GenericData.Record record) {
rowsAfterSecondSnapshot.add((Long) record.get("col"));
}
});
Collections.sort(rowsAfterSecondSnapshot);
assertEquals(Arrays.asList(1L, 2L), rowsAfterSecondSnapshot);
}
@Test
public void testColumnPartitionedTableByDateField() throws InterruptedException, IOException {
String partitionedTableName = "test_column_partition_table_by_date";
String createTableStatement =
String.format(
" CREATE TABLE %s.%s (num_field INT64, date_field DATE) "
+ " PARTITION BY date_field "
+ " OPTIONS( "
+ " description=\"a table partitioned by date_field\" "
+ " ) "
+ "AS "
+ " SELECT 1, CAST(\"2019-01-01\" AS DATE)"
+ " UNION ALL"
+ " SELECT 2, CAST(\"2019-01-02\" AS DATE)"
+ " UNION ALL"
+ " SELECT 3, CAST(\"2019-01-03\" AS DATE)",
DATASET, partitionedTableName);
RunQueryJobAndExpectSuccess(QueryJobConfiguration.newBuilder(createTableStatement).build());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ partitionedTableName);
List<GenericData.Record> unfilteredRows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + unfilteredRows.toString(), 3, unfilteredRows.size());
List<GenericData.Record> partitionFilteredRows =
ReadAllRows(
/* table = */ table, /* filter = */ "date_field = CAST(\"2019-01-02\" AS DATE)");
assertEquals(
"Actual rows read: " + partitionFilteredRows.toString(), 1, partitionFilteredRows.size());
assertEquals(2L, partitionFilteredRows.get(0).get("num_field"));
}
@Test
public void testIngestionTimePartitionedTable() throws InterruptedException, IOException {
Field intFieldSchema =
Field.newBuilder("num_field", LegacySQLTypeName.INTEGER)
.setMode(Mode.REQUIRED)
.setDescription("IntegerDescription")
.build();
com.google.cloud.bigquery.Schema tableSchema =
com.google.cloud.bigquery.Schema.of(intFieldSchema);
TableId testTableId =
TableId.of(/* dataset = */ DATASET, /* table = */ "test_date_partitioned_table");
bigquery.create(
TableInfo.of(
testTableId,
StandardTableDefinition.newBuilder()
.setTimePartitioning(TimePartitioning.of(TimePartitioning.Type.DAY))
.setSchema(tableSchema)
.build()));
// Simulate ingestion for 2019-01-01.
RunQueryAppendJobAndExpectSuccess(
/* destinationTableId = */ TableId.of(
/* dataset = */ DATASET, /* table = */ testTableId.getTable() + "$20190101"),
/* query = */ "SELECT 1 AS num_field");
// Simulate ingestion for 2019-01-02.
RunQueryAppendJobAndExpectSuccess(
/* destinationTableId = */ TableId.of(
/* dataset = */ DATASET, /* table = */ testTableId.getTable() + "$20190102"),
/* query = */ "SELECT 2 AS num_field");
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ testTableId.getDataset(),
/* tableId = */ testTableId.getTable());
List<GenericData.Record> unfilteredRows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + unfilteredRows.toString(), 2, unfilteredRows.size());
List<GenericData.Record> partitionFilteredRows =
ReadAllRows(/* table = */ table, /* filter = */ "_PARTITIONDATE > \"2019-01-01\"");
assertEquals(
"Actual rows read: " + partitionFilteredRows.toString(), 1, partitionFilteredRows.size());
assertEquals(2L, partitionFilteredRows.get(0).get("num_field"));
}
@Test
public void testBasicSqlTypes() throws InterruptedException, IOException {
String tableName = "test_basic_sql_types";
String createTableStatement =
String.format(
" CREATE TABLE %s.%s "
+ " (int_field INT64 NOT NULL,"
+ " num_field NUMERIC NOT NULL,"
+ " float_field FLOAT64 NOT NULL,"
+ " bool_field BOOL NOT NULL,"
+ " str_field STRING NOT NULL,"
+ " bytes_field BYTES NOT NULL) "
+ " OPTIONS( "
+ " description=\"a table with basic column types\" "
+ " ) "
+ "AS "
+ " SELECT "
+ " 17,"
+ " CAST(1234.56 AS NUMERIC),"
+ " 6.547678,"
+ " TRUE,"
+ " \"String field value\","
+ " b\"абвгд\"",
DATASET, tableName);
RunQueryJobAndExpectSuccess(QueryJobConfiguration.newBuilder(createTableStatement).build());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ tableName);
List<GenericData.Record> rows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + rows.toString(), 1, rows.size());
GenericData.Record record = rows.get(0);
Schema avroSchema = record.getSchema();
String actualSchemaMessage =
String.format(
"Unexpected schema. Actual schema:%n%s", avroSchema.toString(/* pretty = */ true));
String rowAssertMessage = String.format("Row not matching expectations: %s", record.toString());
assertEquals(actualSchemaMessage, Schema.Type.RECORD, avroSchema.getType());
assertEquals(actualSchemaMessage, "__root__", avroSchema.getName());
assertEquals(actualSchemaMessage, 6, avroSchema.getFields().size());
assertEquals(
actualSchemaMessage, Schema.Type.LONG, avroSchema.getField("int_field").schema().getType());
assertEquals(rowAssertMessage, 17L, (long) record.get("int_field"));
assertEquals(
actualSchemaMessage,
Schema.Type.BYTES,
avroSchema.getField("num_field").schema().getType());
assertEquals(
actualSchemaMessage,
LogicalTypes.decimal(/* precision = */ 38, /* scale = */ 9),
avroSchema.getField("num_field").schema().getLogicalType());
BigDecimal actual_num_field =
new Conversions.DecimalConversion()
.fromBytes(
(ByteBuffer) record.get("num_field"),
avroSchema,
avroSchema.getField("num_field").schema().getLogicalType());
assertEquals(
rowAssertMessage,
BigDecimal.valueOf(/* unscaledVal = */ 1_234_560_000_000L, /* scale = */ 9),
actual_num_field);
assertEquals(
actualSchemaMessage,
Schema.Type.DOUBLE,
avroSchema.getField("float_field").schema().getType());
assertEquals(
rowAssertMessage,
/* expected = */ 6.547678d,
/* actual = */ (double) record.get("float_field"),
/* delta = */ 0.0001);
assertEquals(
actualSchemaMessage,
Schema.Type.BOOLEAN,
avroSchema.getField("bool_field").schema().getType());
assertEquals(rowAssertMessage, true, record.get("bool_field"));
assertEquals(
actualSchemaMessage,
Schema.Type.STRING,
avroSchema.getField("str_field").schema().getType());
assertEquals(rowAssertMessage, new Utf8("String field value"), record.get("str_field"));
assertEquals(
actualSchemaMessage,
Schema.Type.BYTES,
avroSchema.getField("bytes_field").schema().getType());
assertArrayEquals(
rowAssertMessage,
Utf8.getBytesFor("абвгд"),
((ByteBuffer) (record.get("bytes_field"))).array());
}
@Test
public void testDateAndTimeSqlTypes() throws InterruptedException, IOException {
String tableName = "test_date_and_time_sql_types";
String createTableStatement =
String.format(
" CREATE TABLE %s.%s "
+ " (date_field DATE NOT NULL,"
+ " datetime_field DATETIME NOT NULL,"
+ " time_field TIME NOT NULL,"
+ " timestamp_field TIMESTAMP NOT NULL)"
+ " OPTIONS( "
+ " description=\"a table with date and time column types\" "
+ " ) "
+ "AS "
+ " SELECT "
+ " CAST(\"2019-05-31\" AS DATE),"
+ " CAST(\"2019-04-30 21:47:59.999999\" AS DATETIME),"
+ " CAST(\"21:47:59.999999\" AS TIME),"
+ " CAST(\"2019-04-30 19:24:19.123456 UTC\" AS TIMESTAMP)",
DATASET, tableName);
RunQueryJobAndExpectSuccess(QueryJobConfiguration.newBuilder(createTableStatement).build());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ tableName);
List<GenericData.Record> rows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + rows.toString(), 1, rows.size());
GenericData.Record record = rows.get(0);
Schema avroSchema = record.getSchema();
String actualSchemaMessage =
String.format(
"Unexpected schema. Actual schema:%n%s", avroSchema.toString(/* pretty = */ true));
String rowAssertMessage = String.format("Row not matching expectations: %s", record.toString());
assertEquals(actualSchemaMessage, Schema.Type.RECORD, avroSchema.getType());
assertEquals(actualSchemaMessage, "__root__", avroSchema.getName());
assertEquals(actualSchemaMessage, 4, avroSchema.getFields().size());
assertEquals(
actualSchemaMessage, Schema.Type.INT, avroSchema.getField("date_field").schema().getType());
assertEquals(
actualSchemaMessage,
LogicalTypes.date(),
avroSchema.getField("date_field").schema().getLogicalType());
assertEquals(
rowAssertMessage,
LocalDate.of(/* year = */ 2019, /* month = */ 5, /* dayOfMonth = */ 31),
LocalDate.ofEpochDay((int) record.get("date_field")));
assertEquals(
actualSchemaMessage,
Schema.Type.STRING,
avroSchema.getField("datetime_field").schema().getType());
assertEquals(
actualSchemaMessage,
"datetime",
avroSchema.getField("datetime_field").schema().getObjectProp("logicalType"));
assertEquals(
rowAssertMessage,
new Utf8("2019-04-30T21:47:59.999999"),
(Utf8) record.get("datetime_field"));
assertEquals(
actualSchemaMessage,
Schema.Type.LONG,
avroSchema.getField("time_field").schema().getType());
assertEquals(
actualSchemaMessage,
LogicalTypes.timeMicros(),
avroSchema.getField("time_field").schema().getLogicalType());
assertEquals(
rowAssertMessage,
LocalTime.of(
/* hour = */ 21,
/* minute = */ 47,
/* second = */ 59,
/* nanoOfSecond = */ 999_999_000),
LocalTime.ofNanoOfDay(1_000L * (long) record.get("time_field")));
assertEquals(
actualSchemaMessage,
Schema.Type.LONG,
avroSchema.getField("timestamp_field").schema().getType());
assertEquals(
actualSchemaMessage,
LogicalTypes.timestampMicros(),
avroSchema.getField("timestamp_field").schema().getLogicalType());
ZonedDateTime expected_timestamp =
ZonedDateTime.parse(
"2019-04-30T19:24:19Z", DateTimeFormatter.ISO_INSTANT.withZone(ZoneOffset.UTC))
.withNano(123_456_000);
long actual_timestamp_micros = (long) record.get("timestamp_field");
ZonedDateTime actual_timestamp =
ZonedDateTime.ofInstant(
Instant.ofEpochSecond(
/* epochSecond = */ actual_timestamp_micros / 1_000_000,
(actual_timestamp_micros % 1_000_000) * 1_000),
ZoneOffset.UTC);
assertEquals(rowAssertMessage, expected_timestamp, actual_timestamp);
}
@Test
public void testGeographySqlType() throws InterruptedException, IOException {
String tableName = "test_geography_sql_type";
String createTableStatement =
String.format(
" CREATE TABLE %s.%s "
+ " (geo_field GEOGRAPHY NOT NULL)"
+ " OPTIONS( "
+ " description=\"a table with a geography column type\" "
+ " ) "
+ "AS "
+ " SELECT ST_GEOGPOINT(1.1, 2.2)",
DATASET, tableName);
RunQueryJobAndExpectSuccess(QueryJobConfiguration.newBuilder(createTableStatement).build());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ tableName);
List<GenericData.Record> rows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + rows.toString(), 1, rows.size());
GenericData.Record record = rows.get(0);
Schema avroSchema = record.getSchema();
String actualSchemaMessage =
String.format(
"Unexpected schema. Actual schema:%n%s", avroSchema.toString(/* pretty = */ true));
String rowAssertMessage = String.format("Row not matching expectations: %s", record.toString());
assertEquals(actualSchemaMessage, Schema.Type.RECORD, avroSchema.getType());
assertEquals(actualSchemaMessage, "__root__", avroSchema.getName());
assertEquals(actualSchemaMessage, 1, avroSchema.getFields().size());
assertEquals(
actualSchemaMessage,
Schema.Type.STRING,
avroSchema.getField("geo_field").schema().getType());
assertEquals(
actualSchemaMessage,
"GEOGRAPHY",
avroSchema.getField("geo_field").schema().getObjectProp("sqlType"));
assertEquals(rowAssertMessage, new Utf8("POINT(1.1 2.2)"), (Utf8) record.get("geo_field"));
}
@Test
public void testStructAndArraySqlTypes() throws InterruptedException, IOException {
String tableName = "test_struct_and_array_sql_types";
String createTableStatement =
String.format(
" CREATE TABLE %s.%s "
+ " (array_field ARRAY<INT64>,"
+ " struct_field STRUCT<int_field INT64 NOT NULL, str_field STRING NOT NULL> NOT NULL)"
+ " OPTIONS( "
+ " description=\"a table with array and time column types\" "
+ " ) "
+ "AS "
+ " SELECT "
+ " [1, 2, 3],"
+ " (10, 'abc')",
DATASET, tableName);
RunQueryJobAndExpectSuccess(QueryJobConfiguration.newBuilder(createTableStatement).build());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ ServiceOptions.getDefaultProjectId(),
/* datasetId = */ DATASET,
/* tableId = */ tableName);
List<GenericData.Record> rows = ReadAllRows(/* table = */ table, /* filter = */ null);
assertEquals("Actual rows read: " + rows.toString(), 1, rows.size());
GenericData.Record record = rows.get(0);
Schema avroSchema = record.getSchema();
String actualSchemaMessage =
String.format(
"Unexpected schema. Actual schema:%n%s", avroSchema.toString(/* pretty = */ true));
String rowAssertMessage = String.format("Row not matching expectations: %s", record.toString());
assertEquals(actualSchemaMessage, Schema.Type.RECORD, avroSchema.getType());
assertEquals(actualSchemaMessage, "__root__", avroSchema.getName());
assertEquals(actualSchemaMessage, 2, avroSchema.getFields().size());
assertEquals(
actualSchemaMessage,
Schema.Type.ARRAY,
avroSchema.getField("array_field").schema().getType());
assertEquals(
actualSchemaMessage,
Schema.Type.LONG,
avroSchema.getField("array_field").schema().getElementType().getType());
assertArrayEquals(
rowAssertMessage,
new Long[] {1L, 2L, 3L},
((GenericData.Array<Long>) record.get("array_field")).toArray(new Long[0]));
// Validate the STRUCT field and its members.
Schema structSchema = avroSchema.getField("struct_field").schema();
assertEquals(actualSchemaMessage, Schema.Type.RECORD, structSchema.getType());
GenericData.Record structRecord = (GenericData.Record) record.get("struct_field");
assertEquals(
actualSchemaMessage,
Schema.Type.LONG,
structSchema.getField("int_field").schema().getType());
assertEquals(rowAssertMessage, 10L, (long) structRecord.get("int_field"));
assertEquals(
actualSchemaMessage,
Schema.Type.STRING,
structSchema.getField("str_field").schema().getType());
assertEquals(rowAssertMessage, new Utf8("abc"), structRecord.get("str_field"));
}
@Test
public void testSimpleReadWithBackgroundExecutorProvider() throws IOException {
BigQueryReadSettings bigQueryReadSettings =
BigQueryReadSettings.newBuilder()
.setBackgroundExecutorProvider(
InstantiatingExecutorProvider.newBuilder().setExecutorThreadCount(14).build())
.build();
// Overriding the default client
client = BigQueryReadClient.create(bigQueryReadSettings);
assertTrue(
client.getStub().getStubSettings().getBackgroundExecutorProvider()
instanceof InstantiatingExecutorProvider);
assertEquals(
14,
((InstantiatingExecutorProvider)
client.getStub().getStubSettings().getBackgroundExecutorProvider())
.getExecutorThreadCount());
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
ReadSession session =
client.createReadSession(
/* parent = */ parentProjectId,
/* readSession = */ ReadSession.newBuilder()
.setTable(table)
.setDataFormat(DataFormat.AVRO)
.build(),
/* maxStreamCount = */ 1);
assertEquals(
String.format(
"Did not receive expected number of streams for table '%s' CreateReadSession response:%n%s",
table, session.toString()),
1,
session.getStreamsCount());
ReadRowsRequest readRowsRequest =
ReadRowsRequest.newBuilder().setReadStream(session.getStreams(0).getName()).build();
long rowCount = 0;
ServerStream<ReadRowsResponse> stream = client.readRowsCallable().call(readRowsRequest);
for (ReadRowsResponse response : stream) {
rowCount += response.getRowCount();
}
assertEquals(164_656, rowCount);
}
@Test
public void testUniverseDomainWithInvalidUniverseDomain() throws IOException {
BigQueryReadSettings bigQueryReadSettings =
BigQueryReadSettings.newBuilder()
.setCredentialsProvider(
FixedCredentialsProvider.create(loadCredentials(FAKE_JSON_CRED_WITH_GOOGLE_DOMAIN)))
.setUniverseDomain("invalid.domain")
.build();
BigQueryReadClient localClient = BigQueryReadClient.create(bigQueryReadSettings);
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
try {
localClient.createReadSession(
/* parent = */ parentProjectId,
/* readSession = */ ReadSession.newBuilder()
.setTable(table)
.setDataFormat(DataFormat.AVRO)
.build(),
/* maxStreamCount = */ 1);
fail("RPCs to invalid universe domain should fail");
} catch (UnauthenticatedException e) {
assertThat(
(e.getMessage()
.contains("does not match the universe domain found in the credentials")))
.isTrue();
}
localClient.close();
}
@Test
public void testInvalidUniverseDomainWithMismatchCredentials() throws IOException {
BigQueryReadSettings bigQueryReadSettings =
BigQueryReadSettings.newBuilder()
.setCredentialsProvider(
FixedCredentialsProvider.create(
loadCredentials(FAKE_JSON_CRED_WITH_INVALID_DOMAIN)))
.setUniverseDomain("invalid.domain")
.build();
BigQueryReadClient localClient = BigQueryReadClient.create(bigQueryReadSettings);
String table =
BigQueryResource.FormatTableResource(
/* projectId = */ "bigquery-public-data",
/* datasetId = */ "samples",
/* tableId = */ "shakespeare");
try {
ReadSession session =
localClient.createReadSession(
/* parent = */ parentProjectId,
/* readSession = */ ReadSession.newBuilder()
.setTable(table)
.setDataFormat(DataFormat.AVRO)
.build(),
/* maxStreamCount = */ 1);
fail("RPCs to invalid universe domain should fail");
} catch (UnauthenticatedException e) {
assertThat(
(e.getMessage()
.contains("does not match the universe domain found in the credentials")))
.isTrue();
}
localClient.close();
}
@Test
public void testUniverseDomainWithMatchingDomain() throws IOException {
// Test a valid domain using the default credentials and Google default universe domain.