content: /**
   * 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.cassandra.stress.operations.predefined;
  
  import java.nio.ByteBuffer;
  import java.util.ArrayList;
  import java.util.Arrays;
  import java.util.List;
  import java.util.concurrent.ThreadLocalRandom;
  
  import org.apache.cassandra.stress.Operation;
  import org.apache.cassandra.stress.generate.*;
  import org.apache.cassandra.stress.operations.PartitionOperation;
  import org.apache.cassandra.stress.report.Timer;
  import org.apache.cassandra.stress.settings.Command;
  import org.apache.cassandra.stress.settings.StressSettings;
  
  public abstract class PredefinedOperation extends PartitionOperation
  {
      public static final byte[] EMPTY_BYTE_ARRAY = {};
      public final Command type;
      private final Distribution columnCount;
  
      public PredefinedOperation(Command type, Timer timer, PartitionGenerator generator, SeedManager seedManager, StressSettings settings)
      {
          super(timer, settings, spec(generator, seedManager, settings.insert.rowPopulationRatio.get()));
          this.type = type;
          this.columnCount = settings.columns.countDistribution.get();
      }
  
      private static DataSpec spec(PartitionGenerator generator, SeedManager seedManager, RatioDistribution rowPopulationCount)
      {
          return new DataSpec(generator, seedManager, new DistributionFixed(1), rowPopulationCount, 1);
      }
  
      protected ByteBuffer getKey()
      {
          return (ByteBuffer) partitions.get(0).getPartitionKey(0);
      }
  
      final class ColumnSelection
      {
          final int[] indices;
          final int lb, ub;
          private ColumnSelection(int[] indices, int lb, int ub)
          {
              this.indices = indices;
              this.lb = lb;
              this.ub = ub;
          }
  
          public <V> List<V> select(List<V> in)
          {
              List<V> out = new ArrayList<>();
              if (indices != null)
              {
                  for (int i : indices)
                      out.add(in.get(i));
              }
              else
              {
                  out.addAll(in.subList(lb, ub));
              }
              return out;
          }
  
          int count()
          {
              return indices != null ? indices.length : ub - lb;
          }
      }
  
      public String toString()
      {
          return type.toString();
      }
  
      ColumnSelection select()
      {
          if (settings.columns.slice)
          {
              int count = (int) columnCount.next();
              int start;
              if (count == settings.columns.maxColumnsPerKey)
                  start = 0;
              else
                  start = 1 + ThreadLocalRandom.current().nextInt(settings.columns.maxColumnsPerKey - count);
              return new ColumnSelection(null, start, start + count);
          }
  
          int count = (int) columnCount.next();
          int totalCount = settings.columns.names.size();
          if (count == settings.columns.names.size())
              return new ColumnSelection(null, 0, count);
          ThreadLocalRandom rnd = ThreadLocalRandom.current();
          int[] indices = new int[count];
          int c = 0, o = 0;
          while (c < count && count + o < totalCount)
          {
              int leeway = totalCount - (count + o);
              int spreadover = count - c;
              o += Math.round(rnd.nextDouble() * (leeway / (double) spreadover));
              indices[c] = o + c;
              c++;
          }
          while (c < count)
          {
              indices[c] = o + c;
              c++;
          }
          return new ColumnSelection(indices, 0, 0);
      }
  
      protected List<ByteBuffer> getColumnValues()
      {
          return getColumnValues(new ColumnSelection(null, 0, settings.columns.names.size()));
      }
  
      protected List<ByteBuffer> getColumnValues(ColumnSelection columns)
      {
          Row row = partitions.get(0).next();
          ByteBuffer[] r = new ByteBuffer[columns.count()];
          int c = 0;
          if (columns.indices != null)
              for (int i : columns.indices)
                  r[c++] = (ByteBuffer) row.get(i);
          else
              for (int i = columns.lb ; i < columns.ub ; i++)
                  r[c++] = (ByteBuffer) row.get(i);
          return Arrays.asList(r);
      }
  
      public static Operation operation(Command type, Timer timer, PartitionGenerator generator, SeedManager seedManager, StressSettings settings, DistributionFactory counteradd)
      {
          switch (type)
          {
              case READ:
                  return new CqlReader(timer, generator, seedManager, settings);
              case COUNTER_READ:
                  return new CqlCounterGetter(timer, generator, seedManager, settings);
              case WRITE:
                  return new CqlInserter(timer, generator, seedManager, settings);
              case COUNTER_WRITE:
                  return new CqlCounterAdder(counteradd, timer, generator, seedManager, settings);
          }
          throw new UnsupportedOperationException();
      }
  
  }
  