Package net.hydromatic.linq4j.expressions

Examples of net.hydromatic.linq4j.expressions.BlockBuilder$Slot

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      this.slot.init(var1.xOld, var1.yOld, var1.zOld).remove(var1);
      this.all.remove(var1);
   }

   public void moved(Entity var1) {
      BlockMap$Slot var2 = this.slot.init(var1.xOld, var1.yOld, var1.zOld);
      BlockMap$Slot var3 = this.slot2.init(var1.x, var1.y, var1.z);
      if(!var2.equals(var3)) {
         var2.remove(var1);
         var3.add(var1);
         var1.xOld = var1.x;
         var1.yOld = var1.y;
         var1.zOld = var1.z;
      }
   }
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      this.tmp.clear();
      return this.getEntities(var1, var2, var3, var4, var5, var6, var7, this.tmp);
   }

   public List getEntities(Entity var1, float var2, float var3, float var4, float var5, float var6, float var7, List var8) {
      BlockMap$Slot var9 = this.slot.init(var2, var3, var4);
      BlockMap$Slot var10 = this.slot2.init(var5, var6, var7);

      for(int var11 = BlockMap$Slot.getXSlot(var9) - 1; var11 <= BlockMap$Slot.getXSlot(var10) + 1; ++var11) {
         for(int var12 = BlockMap$Slot.getYSlot(var9) - 1; var12 <= BlockMap$Slot.getYSlot(var10) + 1; ++var12) {
            for(int var13 = BlockMap$Slot.getZSlot(var9) - 1; var13 <= BlockMap$Slot.getZSlot(var10) + 1; ++var13) {
               if(var11 >= 0 && var12 >= 0 && var13 >= 0 && var11 < this.width && var12 < this.depth && var13 < this.height) {
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  public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
    // Generate:
    //   RDD rdd = ...;
    //   return SparkRuntime.asEnumerable(rdd);
    final BlockBuilder list = new BlockBuilder();
    final SparkRel child = (SparkRel) getChild();
    final PhysType physType =
        PhysTypeImpl.of(implementor.getTypeFactory(),
            getRowType(),
            JavaRowFormat.CUSTOM);
    SparkRel.Implementor sparkImplementor =
        new SparkImplementorImpl(implementor);
    final SparkRel.Result result = child.implementSpark(sparkImplementor);
    final Expression rdd = list.append("rdd", result.block);
    final Expression enumerable =
        list.append(
            "enumerable",
            Expressions.call(
                SparkMethod.AS_ENUMERABLE.method,
                rdd));
    list.add(
        Expressions.return_(null, enumerable));
    return implementor.result(physType, list.toBlock());
  }
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   * and reuse already calculated values from the parent blocks.
   * @return new code block that can optimize expressions and reuse already
   * calculated values from the parent blocks.
   */
  public final BlockBuilder nestBlock() {
    BlockBuilder block = new BlockBuilder(true, currentBlock());
    nestBlock(block, Collections.<RexNode, Boolean>emptyMap());
    return block;
  }
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  public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
    // Generate:
    //   RDD rdd = ...;
    //   return SparkRuntime.asEnumerable(rdd);
    final BlockBuilder list = new BlockBuilder();
    final SparkRel child = (SparkRel) getChild();
    final PhysType physType =
        PhysTypeImpl.of(implementor.getTypeFactory(),
            getRowType(),
            JavaRowFormat.CUSTOM);
    SparkRel.Implementor sparkImplementor =
        new SparkImplementorImpl(implementor);
    final SparkRel.Result result = child.implementSpark(sparkImplementor);
    final Expression rdd = list.append("rdd", result.block);
    final Expression enumerable =
        list.append(
            "enumerable",
            Expressions.call(
                SparkMethod.AS_ENUMERABLE.method,
                rdd));
    list.add(
        Expressions.return_(null, enumerable));
    return implementor.result(physType, list.toBlock());
  }
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   * and reuse already calculated values from the parent blocks.
   * @return new code block that can optimize expressions and reuse already
   * calculated values from the parent blocks.
   */
  public final BlockBuilder nestBlock() {
    BlockBuilder block = new BlockBuilder(true, currentBlock());
    nestBlock(block, Collections.<RexNode, Boolean>emptyMap());
    return block;
  }
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    // not quite sure where this list was supposed to be set earlier, leaving it null got me back the full result set

    final List<String> fieldNameList = rowType.getFieldNames();
    // final List<String> fieldNameList = null;
    BlockStatement expr = new BlockBuilder().append(
        Expressions.call(
            OF_METHOD,
            Expressions.constant(plan), //
            Expressions.call(Arrays.class, "asList", //
                Expressions.newArrayInit(String.class, Functions.apply(fieldNameList, TO_LITERAL)) //
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   * and reuse already calculated values from the parent blocks.
   * @return new code block that can optimize expressions and reuse already
   * calculated values from the parent blocks.
   */
  public final BlockBuilder nestBlock() {
    BlockBuilder block = new BlockBuilder(true, currentBlock());
    nestBlock(block, Collections.<RexNode, Boolean>emptyMap());
    return block;
  }
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    }

  private static Pipe addFilter( RelOptCluster cluster, RexProgram program, Pipe pipe )
    {
    final Fields incomingFields = createTypedFields( cluster, program.getInputRowType(), false );
    BlockBuilder statements = new BlockBuilder();

    Expression condition = RexToLixTranslator.translateCondition(
      program,
      (JavaTypeFactory) cluster.getTypeFactory(),
      statements,
      new RexToLixTranslator.InputGetter()
      {
      public Expression field( BlockBuilder list, int index )
        {
        return Expressions.parameter( incomingFields.getTypeClass( index ), incomingFields.get( index ).toString() );
        }
      } );

    // if condition is constant and true, we don't need an expression filter to keep it around
    boolean keepsAllRecords = condition instanceof ConstantExpression && Boolean.TRUE.equals( ( (ConstantExpression) condition ).value );

    if( keepsAllRecords )
      return pipe;

    // create a filter to remove records that don't meet the expression
    Expression nullToFalse = Expressions.call( Functions.class, "falseIfNull", condition );
    Expression not = Expressions.not( nullToFalse ); // matches #isRemove semantics in Filter

    statements.add( Expressions.return_( null, not ) );
    BlockStatement block = statements.toBlock();
    String expression = Expressions.toString( block );

    LOG.debug( "filter parameters: {}", incomingFields );
    LOG.debug( "filter expression: {}", expression );
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  private static Pipe addFunction( RelOptCluster cluster, RexProgram program, Pipe pipe )
    {
    final Fields incomingFields = createTypedFields( cluster, program.getInputRowType(), false );

    BlockBuilder statements = new BlockBuilder();

    List<Expression> expressionList = RexToLixTranslator.translateProjects(
      program,
      (JavaTypeFactory) cluster.getTypeFactory(),
      statements,
      new RexToLixTranslator.InputGetter()
      {
      public Expression field( BlockBuilder list, int index )
        {
        final Type type = incomingFields.getType( index );
        final String name = incomingFields.get( index ).toString();
        return Expressions.parameter( type, name );
        }
      } );

    Expression record = Expressions.newArrayInit( Object.class, expressionList );

    record = Expressions.new_( getConstructor(), record );

    statements.add( Expressions.return_( null, record ) );

    BlockStatement block = statements.toBlock();
    String expression = Expressions.toString( block );

    Fields outgoingFields = createTypedFields( cluster, program.getOutputRowType(), false );

    LOG.debug( "function parameters: {}", program.getInputRowType() );
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Related Classes of net.hydromatic.linq4j.expressions.BlockBuilder$Slot

  • cascading.lingual.optiq.CalcProjectUtil
  • cascading.lingual.optiq.CascadingEnumerableRel
  • cascading.lingual.optiq.EnumerableTapRel
  • com.mojang.minecraft.level.BlockMap
  • net.hydromatic.optiq.impl.spark.SparkToEnumerableConverter
  • net.hydromatic.optiq.rules.java.NestedBlockBuilderImpl
  • org.apache.drill.optiq.EnumerableDrillRel
  • java.lang.reflect.Type
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