Package org.apache.drill.exec.ops

Examples of org.apache.drill.exec.ops.OperatorContext

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  protected AbstractRecordBatch(T popConfig, FragmentContext context) throws OutOfMemoryException {
    super();
    this.context = context;
    this.popConfig = popConfig;
    this.oContext = new OperatorContext(popConfig, context);
    this.stats = oContext.getStats();
    this.container = new VectorContainer(this.oContext);
  }
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  protected OperatorStats stats = null;
  protected OperatorContext oContext = null;

  public BaseRootExec(FragmentContext context, PhysicalOperator config) throws OutOfMemoryException {
    this.oContext = new OperatorContext(config, context, stats);
    stats = new OperatorStats(new OpProfileDef(config.getOperatorId(),
        config.getOperatorType(), OperatorContext.getChildCount(config)),
        oContext.getAllocator());
    context.getStats().addOperatorStats(this.stats);
  }
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    this.context = context;
    this.readers = readers;
    if (!readers.hasNext())
      throw new ExecutionSetupException("A scan batch must contain at least one reader.");
    this.currentReader = readers.next();
    this.oContext = new OperatorContext(subScanConfig, context);
    this.currentReader.setup(mutator);
    this.partitionColumns = partitionColumns.iterator();
    this.partitionValues = this.partitionColumns.hasNext() ? this.partitionColumns.next() : null;
    this.selectedPartitionColumns = selectedPartitionColumns;
    DrillConfig config = context.getConfig();
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  public UnorderedReceiverBatch(FragmentContext context, RawFragmentBatchProvider fragProvider, UnorderedReceiver config) throws OutOfMemoryException {
    this.fragProvider = fragProvider;
    this.context = context;
    // In normal case, batchLoader does not require an allocator. However, in case of splitAndTransfer of a value vector,
    // we may need an allocator for the new offset vector. Therefore, here we pass the context's allocator to batchLoader.
    oContext = new OperatorContext(config, context, false);
    this.batchLoader = new RecordBatchLoader(oContext.getAllocator());

    this.stats = context.getStats().getOperatorStats(new OpProfileDef(config.getOperatorId(), config.getOperatorType(), 1), null);
    this.stats.setLongStat(Metric.NUM_SENDERS, config.getNumSenders());
    this.config = config;
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  protected OperatorStats stats = null;
  protected OperatorContext oContext = null;

  public BaseRootExec(FragmentContext context, PhysicalOperator config) throws OutOfMemoryException {
    this.oContext = new OperatorContext(config, context, stats, true);
    stats = new OperatorStats(new OpProfileDef(config.getOperatorId(),
        config.getOperatorType(), OperatorContext.getChildCount(config)),
        oContext.getAllocator());
    context.getStats().addOperatorStats(this.stats);
  }
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  }

  public PartitionSenderRootExec(FragmentContext context,
                                 RecordBatch incoming,
                                 HashPartitionSender operator) throws OutOfMemoryException {
    super(context, new OperatorContext(operator, context, null, false), operator);
    //super(context, operator);
    this.incoming = incoming;
    this.operator = operator;
    this.context = context;
    this.outGoingBatchCount = operator.getDestinations().size();
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  private OperatorContext oContext;
  private ParquetDirectByteBufferAllocator allocator;

  public ParquetRecordWriter(FragmentContext context, ParquetWriter writer) throws OutOfMemoryException{
    super();
    this.oContext=new OperatorContext(writer, context, true);
  }
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    if (!readers.hasNext()) {
      throw new ExecutionSetupException("A scan batch must contain at least one reader.");
    }
    this.currentReader = readers.next();
    // Scan Batch is not subject to fragment memory limit
    this.oContext = new OperatorContext(subScanConfig, context, false);
    this.currentReader.setOperatorContext(this.oContext);
    this.currentReader.setup(mutator);
    this.partitionColumns = partitionColumns.iterator();
    this.partitionValues = this.partitionColumns.hasNext() ? this.partitionColumns.next() : null;
    this.selectedPartitionColumns = selectedPartitionColumns;
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  }

  public BroadcastSenderRootExec(FragmentContext context,
                                 RecordBatch incoming,
                                 BroadcastSender config) throws OutOfMemoryException {
    super(context, new OperatorContext(config, context, null, false), config);
    //super(context, config);
    this.ok = true;
    this.context = context;
    this.incoming = incoming;
    this.config = config;
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  }

  public MergingRecordBatch(FragmentContext context,
                            MergingReceiverPOP config,
                            RawFragmentBatchProvider[] fragProviders) throws OutOfMemoryException {
    super(config, context, new OperatorContext(config, context, false));
    //super(config, context);
    this.fragProviders = fragProviders;
    this.context = context;
    this.outgoingContainer = new VectorContainer(oContext);
    this.stats.setLongStat(Metric.NUM_SENDERS, config.getNumSenders());
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Related Classes of org.apache.drill.exec.ops.OperatorContext

  • io.netty.buffer.DrillBuf
  • org.apache.drill.exec.memory.TestAllocators
  • org.apache.drill.exec.physical.impl.BaseRootExec
  • org.apache.drill.exec.physical.impl.broadcastsender.BroadcastSenderRootExec
  • org.apache.drill.exec.physical.impl.mergereceiver.MergingRecordBatch
  • org.apache.drill.exec.physical.impl.partitionsender.PartitionSenderRootExec
  • org.apache.drill.exec.physical.impl.ScanBatch
  • org.apache.drill.exec.physical.impl.SingleSenderCreator$SingleSenderRootExec
  • org.apache.drill.exec.physical.impl.unorderedreceiver.UnorderedReceiverBatch
  • org.apache.drill.exec.record.AbstractRecordBatch
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