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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/08/07 21:01:10 UTC
[GitHub] [beam] Imfuyuwei commented on a change in pull request #12502: [BEAM-9891] Added ZetaSQL planner support and uploaded 100G data
Imfuyuwei commented on a change in pull request #12502:
URL: https://github.com/apache/beam/pull/12502#discussion_r467266754
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File path: sdks/java/testing/tpcds/src/main/java/org/apache/beam/sdk/tpcds/SqlTransformRunner.java
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@@ -0,0 +1,138 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you 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 org.apache.beam.sdk.tpcds;
+
+import org.apache.beam.runners.dataflow.options.DataflowPipelineOptions;
+import org.apache.beam.sdk.Pipeline;
+import org.apache.beam.sdk.PipelineResult;
+import org.apache.beam.sdk.extensions.sql.SqlTransform;
+import org.apache.beam.sdk.extensions.sql.impl.BeamSqlPipelineOptions;
+import org.apache.beam.sdk.extensions.sql.meta.provider.text.TextTable;
+import org.apache.beam.sdk.io.TextIO;
+import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.schemas.SchemaCoder;
+import org.apache.beam.sdk.transforms.MapElements;
+import org.apache.beam.sdk.values.*;
+import org.apache.commons.csv.CSVFormat;
+import java.util.Map;
+import java.util.concurrent.CompletionService;
+import java.util.concurrent.ExecutorCompletionService;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+
+/**
+ * This class executes jobs using PCollection and SqlTransform, it uses SqlTransform.query to run queries.
+ */
+public class SqlTransformRunner {
+ private static final String dataDirectory = "gs://beamsql_tpcds_1/data";
+ private static final String resultDirectory = "gs://beamsql_tpcds_1/tpcds_results";
+
+ /**
+ * Get all tables (in the form of TextTable) needed for a specific query execution
+ * @param pipeline The pipeline that will be run to execute the query
+ * @param csvFormat The csvFormat to construct readConverter (CsvToRow) and writeConverter (RowToCsv)
+ * @param queryName The name of the query which will be executed (for example: query3, query55, query96)
+ * @return A PCollectionTuple which is constructed by all tables needed for running query.
+ * @throws Exception
+ */
+ private static PCollectionTuple getTables(Pipeline pipeline, CSVFormat csvFormat, String queryName) throws Exception {
+ Map<String, Schema> schemaMap = TpcdsSchemas.getTpcdsSchemas();
+ TpcdsOptions tpcdsOptions = pipeline.getOptions().as(TpcdsOptions.class);
+ String dataSize = TpcdsParametersReader.getAndCheckDataSize(tpcdsOptions);
+ String queryString = QueryReader.readQuery(queryName);
+
+ PCollectionTuple tables = PCollectionTuple.empty(pipeline);
+ for (Map.Entry<String, Schema> tableSchema : schemaMap.entrySet()) {
+ String tableName = tableSchema.getKey();
+
+ // Only when queryString contains tableName, the table is relevant to this query and will be added. This can avoid reading unnecessary data files.
+ if (queryString.contains(tableName)) {
+ // This is location path where the data are stored
+ String filePattern = dataDirectory + "/" + dataSize + "/" + tableName + ".dat";
+
+ PCollection<Row> table =
+ new TextTable(
+ tableSchema.getValue(),
+ filePattern,
+ new CsvToRow(tableSchema.getValue(), csvFormat),
+ new RowToCsv(csvFormat))
+ .buildIOReader(pipeline.begin())
+ .setCoder(SchemaCoder.of(tableSchema.getValue()))
+ .setName(tableSchema.getKey());
+
+ tables = tables.and(new TupleTag<>(tableName), table);
+ }
+ }
+ return tables;
+ }
+
+ /**
+ * This is the default method in BeamTpcds.main method. Run job using SqlTranform.query() method.
+ * @param args Command line arguments
+ * @throws Exception
+ */
+ public static void runUsingSqlTransform(String[] args) throws Exception {
+ TpcdsOptions tpcdsOptions = PipelineOptionsFactory.fromArgs(args).withValidation().as(TpcdsOptions.class);
+
+ String dataSize = TpcdsParametersReader.getAndCheckDataSize(tpcdsOptions);
+ String[] queryNameArr = TpcdsParametersReader.getAndCheckQueryNameArray(tpcdsOptions);
+ int nThreads = TpcdsParametersReader.getAndCheckTpcParallel(tpcdsOptions);
+
+ // Using ExecutorService and CompletionService to fulfill multi-threading functionality
+ ExecutorService executor = Executors.newFixedThreadPool(nThreads);
+ CompletionService<PipelineResult> completion = new ExecutorCompletionService<>(executor);
+
+ // Make an array of pipelines, each pipeline is responsible for running a corresponding query.
+ Pipeline[] pipelines = new Pipeline[queryNameArr.length];
+ CSVFormat csvFormat = CSVFormat.MYSQL.withDelimiter('|').withNullString("");
+
+ // Execute all queries, transform the each result into a PCollection<String>, write them into the txt file and store in a GCP directory.
+ for (int i = 0; i < queryNameArr.length; i++) {
+ // For each query, get a copy of pipelineOptions from command line arguments.
+ TpcdsOptions tpcdsOptionsCopy = PipelineOptionsFactory.fromArgs(args).withValidation().as(TpcdsOptions.class);
+
+ // Cast tpcdsOptions as a BeamSqlPipelineOptions object to read and set queryPlanner (the default one is Calcite, can change to ZetaSQL).
+ BeamSqlPipelineOptions beamSqlPipelineOptionsCopy = tpcdsOptionsCopy.as(BeamSqlPipelineOptions.class);
+
+ // Finally, cast BeamSqlPipelineOptions as a DataflowPipelineOptions object to read and set other required pipeline optionsparameters .
+ DataflowPipelineOptions dataflowPipelineOptionsCopy = beamSqlPipelineOptionsCopy.as(DataflowPipelineOptions.class);
+
+ // Set a unique job name using the time stamp so that multiple different pipelines can run together.
+ dataflowPipelineOptionsCopy.setJobName(queryNameArr[i] + "result" + System.currentTimeMillis());
+
+ pipelines[i] = Pipeline.create(dataflowPipelineOptionsCopy);
+ String queryString = QueryReader.readQuery(queryNameArr[i]);
+ PCollectionTuple tables = getTables(pipelines[i], csvFormat, queryNameArr[i]);
+
+ tables
+ .apply(
+ SqlTransform.query(queryString))
+ .apply(
+ MapElements.into(TypeDescriptors.strings()).via((Row row) -> row.toString()))
+ .apply(TextIO.write()
+ .to(resultDirectory + "/" + dataSize + "/" + pipelines[i].getOptions().getJobName())
+ .withSuffix(".txt")
+ .withNumShards(1));
+
+ completion.submit(new TpcdsRun(pipelines[i]));
+ }
+
+ executor.shutdown();
Review comment:
They will be executed, The shutdown() method will allow previously submitted tasks to execute before terminating.
This method is the same as previously merged code, I did some tests again and they worked well.
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