| package org.apache.cassandra.stress.operations.userdefined; |
| /* |
| * |
| * 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. |
| * |
| */ |
| |
| |
| import java.io.IOException; |
| import java.nio.ByteBuffer; |
| import java.util.ArrayList; |
| import java.util.Arrays; |
| import java.util.List; |
| import java.util.Random; |
| |
| import com.datastax.driver.core.BoundStatement; |
| import com.datastax.driver.core.ColumnDefinitions; |
| import com.datastax.driver.core.PreparedStatement; |
| import com.datastax.driver.core.ResultSet; |
| import org.apache.cassandra.db.ConsistencyLevel; |
| import org.apache.cassandra.stress.Operation; |
| import org.apache.cassandra.stress.generate.Distribution; |
| import org.apache.cassandra.stress.generate.Partition; |
| import org.apache.cassandra.stress.generate.PartitionGenerator; |
| import org.apache.cassandra.stress.generate.Row; |
| import org.apache.cassandra.stress.settings.StressSettings; |
| import org.apache.cassandra.stress.settings.ValidationType; |
| import org.apache.cassandra.stress.util.JavaDriverClient; |
| import org.apache.cassandra.stress.util.ThriftClient; |
| import org.apache.cassandra.stress.util.Timer; |
| import org.apache.cassandra.thrift.CqlResult; |
| import org.apache.cassandra.transport.SimpleClient; |
| |
| public abstract class SchemaStatement extends Operation |
| { |
| |
| final PartitionGenerator generator; |
| private final PreparedStatement statement; |
| final Integer thriftId; |
| final ConsistencyLevel cl; |
| final ValidationType validationType; |
| private final int[] argumentIndex; |
| private final Object[] bindBuffer; |
| private final Object[][] randomBuffer; |
| private final Random random = new Random(); |
| |
| public SchemaStatement(Timer timer, PartitionGenerator generator, StressSettings settings, Distribution partitionCount, |
| PreparedStatement statement, Integer thriftId, ConsistencyLevel cl, ValidationType validationType) |
| { |
| super(timer, generator, settings, partitionCount); |
| this.generator = generator; |
| this.statement = statement; |
| this.thriftId = thriftId; |
| this.cl = cl; |
| this.validationType = validationType; |
| argumentIndex = new int[statement.getVariables().size()]; |
| bindBuffer = new Object[argumentIndex.length]; |
| randomBuffer = new Object[argumentIndex.length][argumentIndex.length]; |
| int i = 0; |
| for (ColumnDefinitions.Definition definition : statement.getVariables()) |
| argumentIndex[i++] = generator.indexOf(definition.getName()); |
| } |
| |
| private int filLRandom(Partition partition) |
| { |
| int c = 0; |
| for (Row row : partition.iterator(randomBuffer.length).batch(1f)) |
| { |
| Object[] randomRow = randomBuffer[c++]; |
| for (int i = 0 ; i < argumentIndex.length ; i++) |
| randomRow[i] = row.get(argumentIndex[i]); |
| if (c >= randomBuffer.length) |
| break; |
| } |
| return c; |
| } |
| |
| BoundStatement bindRandom(Partition partition) |
| { |
| int c = filLRandom(partition); |
| for (int i = 0 ; i < argumentIndex.length ; i++) |
| { |
| int argIndex = argumentIndex[i]; |
| bindBuffer[i] = randomBuffer[argIndex < 0 ? 0 : random.nextInt(c)][i]; |
| } |
| return statement.bind(bindBuffer); |
| } |
| |
| BoundStatement bindRow(Row row) |
| { |
| for (int i = 0 ; i < argumentIndex.length ; i++) |
| bindBuffer[i] = row.get(argumentIndex[i]); |
| return statement.bind(bindBuffer); |
| } |
| |
| List<ByteBuffer> thriftRowArgs(Row row) |
| { |
| List<ByteBuffer> args = new ArrayList<>(); |
| for (int i : argumentIndex) |
| args.add(generator.convert(i, row.get(i))); |
| return args; |
| } |
| |
| List<ByteBuffer> thriftRandomArgs(Partition partition) |
| { |
| List<ByteBuffer> args = new ArrayList<>(); |
| int c = filLRandom(partition); |
| for (int i = 0 ; i < argumentIndex.length ; i++) |
| { |
| int argIndex = argumentIndex[i]; |
| args.add(generator.convert(argIndex, randomBuffer[argIndex < 0 ? 0 : random.nextInt(c)][i])); |
| } |
| return args; |
| } |
| |
| void validate(ResultSet rs) |
| { |
| switch (validationType) |
| { |
| case NOT_FAIL: |
| return; |
| case NON_ZERO: |
| if (rs.all().size() == 0) |
| throw new IllegalStateException("Expected non-zero results"); |
| break; |
| default: |
| throw new IllegalStateException("Unsupported validation type"); |
| } |
| } |
| |
| void validate(CqlResult rs) |
| { |
| switch (validationType) |
| { |
| case NOT_FAIL: |
| return; |
| case NON_ZERO: |
| if (rs.getRowsSize() == 0) |
| throw new IllegalStateException("Expected non-zero results"); |
| break; |
| default: |
| throw new IllegalStateException("Unsupported validation type"); |
| } |
| } |
| |
| @Override |
| public void run(SimpleClient client) throws IOException |
| { |
| throw new UnsupportedOperationException(); |
| } |
| |
| abstract class Runner implements RunOp |
| { |
| int partitionCount; |
| int rowCount; |
| |
| @Override |
| public int partitionCount() |
| { |
| return partitionCount; |
| } |
| |
| @Override |
| public int rowCount() |
| { |
| return rowCount; |
| } |
| } |
| |
| } |