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HIVE-24059: Llap external client - Initial changes for running in clo…
…ud environment(Shubham Chaurasia, reviewed by Prasanth Jayachandran)
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...-unit/src/test/java/org/apache/hive/jdbc/TestLlapExtClientWithCloudDeploymentConfigs.java
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/* | ||
* 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. | ||
*/ | ||
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package org.apache.hive.jdbc; | ||
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import org.apache.hadoop.hive.conf.HiveConf; | ||
import org.apache.hadoop.hive.llap.LlapArrowRowInputFormat; | ||
import org.apache.hadoop.hive.llap.LlapBaseInputFormat; | ||
import org.apache.hadoop.hive.llap.LlapInputSplit; | ||
import org.apache.hadoop.hive.llap.Row; | ||
import org.apache.hadoop.io.NullWritable; | ||
import org.apache.hadoop.mapred.InputFormat; | ||
import org.apache.hadoop.mapred.InputSplit; | ||
import org.apache.hadoop.mapred.JobConf; | ||
import org.apache.hadoop.mapred.RecordReader; | ||
import org.junit.BeforeClass; | ||
import org.junit.Ignore; | ||
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import java.net.InetAddress; | ||
import java.util.ArrayList; | ||
import java.util.List; | ||
import java.util.UUID; | ||
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/** | ||
* TestLlapExtClientWithCloudDeploymentConfigs | ||
*/ | ||
public class TestLlapExtClientWithCloudDeploymentConfigs extends BaseJdbcWithMiniLlap { | ||
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@BeforeClass | ||
public static void beforeTest() throws Exception { | ||
System.setProperty("PUBLIC_HOSTNAME", InetAddress.getLocalHost().getHostAddress()); | ||
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HiveConf conf = defaultConf(); | ||
conf.set("minillap.usePortsFromConf", "true"); | ||
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// enable setup for cloud based deployment | ||
conf.setBoolVar(HiveConf.ConfVars.LLAP_EXTERNAL_CLIENT_CLOUD_DEPLOYMENT_SETUP_ENABLED, true); | ||
conf.setVar(HiveConf.ConfVars.LLAP_EXTERNAL_CLIENT_CLOUD_JWT_SHARED_SECRET, | ||
"Three may keep a secret, if two of them are dead -- Benjamin Franklin"); | ||
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conf.setBoolVar(HiveConf.ConfVars.LLAP_OUTPUT_FORMAT_ARROW, true); | ||
conf.setBoolVar(HiveConf.ConfVars.HIVE_VECTORIZATION_FILESINK_ARROW_NATIVE_ENABLED, true); | ||
BaseJdbcWithMiniLlap.beforeTest(conf); | ||
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} | ||
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@Override protected InputFormat<NullWritable, Row> getInputFormat() { | ||
//For unit testing, no harm in hard-coding allocator ceiling to LONG.MAX_VALUE | ||
return new LlapArrowRowInputFormat(Long.MAX_VALUE); | ||
} | ||
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@Override public void testDataTypes() throws Exception { | ||
TestJdbcWithMiniLlapVectorArrow testJdbcWithMiniLlapVectorArrow = new TestJdbcWithMiniLlapVectorArrow(); | ||
testJdbcWithMiniLlapVectorArrow.testDataTypes(); | ||
} | ||
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@Override | ||
@Ignore | ||
public void testMultipleBatchesOfComplexTypes() { | ||
// TODO: something else has broken parent test, need to check | ||
} | ||
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@Override protected int processQuery(String currentDatabase, String query, int numSplits, RowProcessor rowProcessor) | ||
throws Exception { | ||
String url = miniHS2.getJdbcURL(); | ||
String user = System.getProperty("user.name"); | ||
String pwd = user; | ||
String handleId = UUID.randomUUID().toString(); | ||
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InputFormat<NullWritable, Row> inputFormat = getInputFormat(); | ||
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// Get splits | ||
JobConf job = new JobConf(conf); | ||
job.set(LlapBaseInputFormat.URL_KEY, url); | ||
job.set(LlapBaseInputFormat.USER_KEY, user); | ||
job.set(LlapBaseInputFormat.PWD_KEY, pwd); | ||
job.set(LlapBaseInputFormat.QUERY_KEY, query); | ||
job.set(LlapBaseInputFormat.HANDLE_ID, handleId); | ||
job.set(LlapBaseInputFormat.USE_NEW_SPLIT_FORMAT, "true"); | ||
if (currentDatabase != null) { | ||
job.set(LlapBaseInputFormat.DB_KEY, currentDatabase); | ||
} | ||
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InputSplit[] splits = inputFormat.getSplits(job, numSplits); | ||
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if (splits.length <= 1) { | ||
return 0; | ||
} | ||
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// populate actual splits with schema and planBytes[] | ||
LlapInputSplit schemaSplit = (LlapInputSplit) splits[0]; | ||
LlapInputSplit planSplit = (LlapInputSplit) splits[1]; | ||
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List<LlapInputSplit> actualSplits = new ArrayList<>(); | ||
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for (int i = 2; i < splits.length; i++) { | ||
LlapInputSplit actualSplit = (LlapInputSplit) splits[i]; | ||
actualSplit.setSchema(schemaSplit.getSchema()); | ||
actualSplit.setPlanBytes(planSplit.getPlanBytes()); | ||
actualSplits.add(actualSplit); | ||
} | ||
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// Fetch rows from splits | ||
int rowCount = 0; | ||
for (InputSplit split : actualSplits) { | ||
System.out.println("Processing split " + split.getLocations()); | ||
RecordReader<NullWritable, Row> reader = inputFormat.getRecordReader(split, job, null); | ||
Row row = reader.createValue(); | ||
while (reader.next(NullWritable.get(), row)) { | ||
rowProcessor.process(row); | ||
++rowCount; | ||
} | ||
//In arrow-mode this will throw exception unless all buffers have been released | ||
//See org.apache.hadoop.hive.llap.LlapArrowBatchRecordReader | ||
reader.close(); | ||
} | ||
LlapBaseInputFormat.close(handleId); | ||
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return rowCount; | ||
} | ||
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} |
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