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GCStoBigquery.java
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GCStoBigquery.java
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/*
* Copyright (C) 2021 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.dataproc.templates.gcs;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_AVRO_EXTD_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_AVRO_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_CSV_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_CSV_HEADER;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_CSV_INFOR_SCHEMA;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_INPUT_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_INPUT_LOCATION;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_LD_TEMP_BUCKET_NAME;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_OUTPUT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_OUTPUT_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_PRQT_FORMAT;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_BQ_TEMP_BUCKET;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_OUTPUT_DATASET_NAME;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.GCS_OUTPUT_TABLE_NAME;
import static com.google.cloud.dataproc.templates.util.TemplateConstants.PROJECT_ID_PROP;
import com.google.cloud.dataproc.templates.BaseTemplate;
import java.util.Objects;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class GCStoBigquery implements BaseTemplate {
public static final Logger LOGGER = LoggerFactory.getLogger(GCStoBigquery.class);
private String projectID;
private String inputFileLocation;
private String bigQueryDataset;
private String bigQueryTable;
private String inputFileFormat;
private String bqTempBucket;
public GCStoBigquery() {
projectID = getProperties().getProperty(PROJECT_ID_PROP);
inputFileLocation = getProperties().getProperty(GCS_BQ_INPUT_LOCATION);
bigQueryDataset = getProperties().getProperty(GCS_OUTPUT_DATASET_NAME);
bigQueryTable = getProperties().getProperty(GCS_OUTPUT_TABLE_NAME);
inputFileFormat = getProperties().getProperty(GCS_BQ_INPUT_FORMAT);
bqTempBucket = getProperties().getProperty(GCS_BQ_LD_TEMP_BUCKET_NAME);
}
@Override
public void runTemplate() {
if (StringUtils.isAllBlank(projectID)
|| StringUtils.isAllBlank(inputFileLocation)
|| StringUtils.isAllBlank(bigQueryDataset)
|| StringUtils.isAllBlank(bigQueryTable)
|| StringUtils.isAllBlank(inputFileFormat)
|| StringUtils.isAllBlank(bqTempBucket)) {
LOGGER.error(
"{},{},{},{},{},{} are required parameter. ",
PROJECT_ID_PROP,
GCS_BQ_INPUT_LOCATION,
GCS_OUTPUT_DATASET_NAME,
GCS_OUTPUT_TABLE_NAME,
GCS_BQ_INPUT_FORMAT,
GCS_BQ_LD_TEMP_BUCKET_NAME);
throw new IllegalArgumentException(
"Required parameters for GCStoBQ not passed. "
+ "Set mandatory parameter for GCStoBQ template "
+ "in resources/conf/template.properties file.");
}
SparkSession spark = null;
LOGGER.info(
"Starting GCS to Bigquery spark job with following parameters:"
+ "1. {}:{}"
+ "2. {}:{}"
+ "3. {}:{}"
+ "4. {}:{}"
+ "5. {}:{}",
GCS_BQ_INPUT_LOCATION,
inputFileLocation,
GCS_OUTPUT_DATASET_NAME,
bigQueryDataset,
GCS_OUTPUT_TABLE_NAME,
bigQueryTable,
GCS_BQ_INPUT_FORMAT,
inputFileFormat,
GCS_BQ_LD_TEMP_BUCKET_NAME,
bqTempBucket);
LOGGER.info("input format: " + inputFileFormat);
try {
spark = SparkSession.builder().appName("GCS to Bigquery load").getOrCreate();
Dataset<Row> inputData = null;
switch (inputFileFormat) {
case GCS_BQ_CSV_FORMAT:
inputData =
spark
.read()
.format(GCS_BQ_CSV_FORMAT)
.option(GCS_BQ_CSV_HEADER, true)
.option(GCS_BQ_CSV_INFOR_SCHEMA, true)
.load(inputFileLocation);
break;
case GCS_BQ_AVRO_FORMAT:
inputData = spark.read().format(GCS_BQ_AVRO_EXTD_FORMAT).load(inputFileLocation);
break;
case GCS_BQ_PRQT_FORMAT:
inputData = spark.read().parquet(inputFileLocation);
break;
default:
throw new IllegalArgumentException(
"Currenlty avro, parquet and csv are the only supported formats");
}
inputData
.write()
.format(GCS_BQ_OUTPUT_FORMAT)
.option(GCS_BQ_CSV_HEADER, true)
.option(GCS_BQ_OUTPUT, bigQueryDataset + "." + bigQueryTable)
.option(GCS_BQ_TEMP_BUCKET, bqTempBucket)
.mode(SaveMode.Append)
.save();
} catch (Throwable th) {
LOGGER.error("Exception in GCStoBigquery", th);
if (Objects.nonNull(spark)) {
spark.stop();
}
}
}
}