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聊聊flink Table的where及filter操作

聊聊flink Table的where及filter操作

作者: go4it | 来源:发表于2019-01-24 14:19 被阅读69次

    本文主要研究一下flink Table的where及filter操作

    Table

    flink-table_2.11-1.7.0-sources.jar!/org/apache/flink/table/api/table.scala

    class Table(
        private[flink] val tableEnv: TableEnvironment,
        private[flink] val logicalPlan: LogicalNode) {
    
      //......
    
      def where(predicate: String): Table = {
        filter(predicate)
      }
    
      def where(predicate: Expression): Table = {
        filter(predicate)
      }
    
      def filter(predicate: String): Table = {
        val predicateExpr = ExpressionParser.parseExpression(predicate)
        filter(predicateExpr)
      }
    
      def filter(predicate: Expression): Table = {
        new Table(tableEnv, Filter(predicate, logicalPlan).validate(tableEnv))
      }
    
      //......
    }
    
    • Table的where及filter操作均有两中方法,一种是String参数,一种是Expression参数;而where方法内部是调用filter方法;filter方法使用Filter(predicate, logicalPlan).validate(tableEnv)创建了新的Table;String参数最后是通过ExpressionParser.parseExpression方法转换为Expression类型

    Filter

    flink-table_2.11-1.7.0-sources.jar!/org/apache/flink/table/plan/logical/operators.scala

    case class Filter(condition: Expression, child: LogicalNode) extends UnaryNode {
      override def output: Seq[Attribute] = child.output
    
      override protected[logical] def construct(relBuilder: RelBuilder): RelBuilder = {
        child.construct(relBuilder)
        relBuilder.filter(condition.toRexNode(relBuilder))
      }
    
      override def validate(tableEnv: TableEnvironment): LogicalNode = {
        val resolvedFilter = super.validate(tableEnv).asInstanceOf[Filter]
        if (resolvedFilter.condition.resultType != BOOLEAN_TYPE_INFO) {
          failValidation(s"Filter operator requires a boolean expression as input," +
            s" but ${resolvedFilter.condition} is of type ${resolvedFilter.condition.resultType}")
        }
        resolvedFilter
      }
    }
    
    • Filter对象继承了UnaryNode,它覆盖了output、construct、validate等方法;construct方法先通过Expression.toRexNode将flink的Expression转换为Apache Calcite的RexNode,然后再执行Apache Calcite的RelBuilder的filter方法

    RexNode

    calcite-core-1.18.0-sources.jar!/org/apache/calcite/rex/RexNode.java

    public abstract class RexNode {
      //~ Instance fields --------------------------------------------------------
    
      // Effectively final. Set in each sub-class constructor, and never re-set.
      protected String digest;
    
      //~ Methods ----------------------------------------------------------------
    
      public abstract RelDataType getType();
    
      public boolean isAlwaysTrue() {
        return false;
      }
    
      public boolean isAlwaysFalse() {
        return false;
      }
    
      public boolean isA(SqlKind kind) {
        return getKind() == kind;
      }
    
      public boolean isA(Collection<SqlKind> kinds) {
        return getKind().belongsTo(kinds);
      }
    
      public SqlKind getKind() {
        return SqlKind.OTHER;
      }
    
      public String toString() {
        return digest;
      }
    
      public abstract <R> R accept(RexVisitor<R> visitor);
    
      public abstract <R, P> R accept(RexBiVisitor<R, P> visitor, P arg);
    
      @Override public abstract boolean equals(Object obj);
    
      @Override public abstract int hashCode();
    }
    
    • RexNode是Row expression,可以通过RexBuilder来创建;它有很多子类,比如RexCall、RexVariable、RexFieldAccess等

    RelBuilder.filter

    calcite-core-1.18.0-sources.jar!/org/apache/calcite/tools/RelBuilder.java

    public class RelBuilder {
      protected final RelOptCluster cluster;
      protected final RelOptSchema relOptSchema;
      private final RelFactories.FilterFactory filterFactory;
      private final RelFactories.ProjectFactory projectFactory;
      private final RelFactories.AggregateFactory aggregateFactory;
      private final RelFactories.SortFactory sortFactory;
      private final RelFactories.ExchangeFactory exchangeFactory;
      private final RelFactories.SortExchangeFactory sortExchangeFactory;
      private final RelFactories.SetOpFactory setOpFactory;
      private final RelFactories.JoinFactory joinFactory;
      private final RelFactories.SemiJoinFactory semiJoinFactory;
      private final RelFactories.CorrelateFactory correlateFactory;
      private final RelFactories.ValuesFactory valuesFactory;
      private final RelFactories.TableScanFactory scanFactory;
      private final RelFactories.MatchFactory matchFactory;
      private final Deque<Frame> stack = new ArrayDeque<>();
      private final boolean simplify;
      private final RexSimplify simplifier;
    
      protected RelBuilder(Context context, RelOptCluster cluster,
          RelOptSchema relOptSchema) {
        this.cluster = cluster;
        this.relOptSchema = relOptSchema;
        if (context == null) {
          context = Contexts.EMPTY_CONTEXT;
        }
        this.simplify = Hook.REL_BUILDER_SIMPLIFY.get(true);
        this.aggregateFactory =
            Util.first(context.unwrap(RelFactories.AggregateFactory.class),
                RelFactories.DEFAULT_AGGREGATE_FACTORY);
        this.filterFactory =
            Util.first(context.unwrap(RelFactories.FilterFactory.class),
                RelFactories.DEFAULT_FILTER_FACTORY);
        this.projectFactory =
            Util.first(context.unwrap(RelFactories.ProjectFactory.class),
                RelFactories.DEFAULT_PROJECT_FACTORY);
        this.sortFactory =
            Util.first(context.unwrap(RelFactories.SortFactory.class),
                RelFactories.DEFAULT_SORT_FACTORY);
        this.exchangeFactory =
            Util.first(context.unwrap(RelFactories.ExchangeFactory.class),
                RelFactories.DEFAULT_EXCHANGE_FACTORY);
        this.sortExchangeFactory =
            Util.first(context.unwrap(RelFactories.SortExchangeFactory.class),
                RelFactories.DEFAULT_SORT_EXCHANGE_FACTORY);
        this.setOpFactory =
            Util.first(context.unwrap(RelFactories.SetOpFactory.class),
                RelFactories.DEFAULT_SET_OP_FACTORY);
        this.joinFactory =
            Util.first(context.unwrap(RelFactories.JoinFactory.class),
                RelFactories.DEFAULT_JOIN_FACTORY);
        this.semiJoinFactory =
            Util.first(context.unwrap(RelFactories.SemiJoinFactory.class),
                RelFactories.DEFAULT_SEMI_JOIN_FACTORY);
        this.correlateFactory =
            Util.first(context.unwrap(RelFactories.CorrelateFactory.class),
                RelFactories.DEFAULT_CORRELATE_FACTORY);
        this.valuesFactory =
            Util.first(context.unwrap(RelFactories.ValuesFactory.class),
                RelFactories.DEFAULT_VALUES_FACTORY);
        this.scanFactory =
            Util.first(context.unwrap(RelFactories.TableScanFactory.class),
                RelFactories.DEFAULT_TABLE_SCAN_FACTORY);
        this.matchFactory =
            Util.first(context.unwrap(RelFactories.MatchFactory.class),
                RelFactories.DEFAULT_MATCH_FACTORY);
        final RexExecutor executor =
            Util.first(context.unwrap(RexExecutor.class),
                Util.first(cluster.getPlanner().getExecutor(), RexUtil.EXECUTOR));
        final RelOptPredicateList predicates = RelOptPredicateList.EMPTY;
        this.simplifier =
            new RexSimplify(cluster.getRexBuilder(), predicates, executor);
      }
    
      public RelBuilder filter(RexNode... predicates) {
        return filter(ImmutableList.copyOf(predicates));
      }
    
      public RelBuilder filter(Iterable<? extends RexNode> predicates) {
        final RexNode simplifiedPredicates =
            simplifier.simplifyFilterPredicates(predicates);
        if (simplifiedPredicates == null) {
          return empty();
        }
    
        if (!simplifiedPredicates.isAlwaysTrue()) {
          final Frame frame = stack.pop();
          final RelNode filter = filterFactory.createFilter(frame.rel, simplifiedPredicates);
          stack.push(new Frame(filter, frame.fields));
        }
        return this;
      }
    
      //......
    
    }
    
    • RelBuilder在构造器里头创建了RelFactories.FilterFactory,它提供了两个filter方法,一个是RexNode变长数组参数,一个是RexNode类型的Iterable参数;filter方法首先使用simplifier.simplifyFilterPredicates将RexNode类型的Iterable转为simplifiedPredicates(RexNode),之后只要simplifiedPredicates.isAlwaysTrue()为false,则取出deque中队首的Frame(LIFO (Last-In-First-Out) stacks),调用filterFactory.createFilter创建RelNode构造新的Frame,然后重新放入deque的队首

    Frame

    calcite-core-1.18.0-sources.jar!/org/apache/calcite/tools/RelBuilder.java

      private static class Frame {
        final RelNode rel;
        final ImmutableList<Field> fields;
    
        private Frame(RelNode rel, ImmutableList<Field> fields) {
          this.rel = rel;
          this.fields = fields;
        }
    
        private Frame(RelNode rel) {
          String tableAlias = deriveAlias(rel);
          ImmutableList.Builder<Field> builder = ImmutableList.builder();
          ImmutableSet<String> aliases = tableAlias == null
              ? ImmutableSet.of()
              : ImmutableSet.of(tableAlias);
          for (RelDataTypeField field : rel.getRowType().getFieldList()) {
            builder.add(new Field(aliases, field));
          }
          this.rel = rel;
          this.fields = builder.build();
        }
    
        private static String deriveAlias(RelNode rel) {
          if (rel instanceof TableScan) {
            final List<String> names = rel.getTable().getQualifiedName();
            if (!names.isEmpty()) {
              return Util.last(names);
            }
          }
          return null;
        }
    
        List<RelDataTypeField> fields() {
          return Pair.right(fields);
        }
      }
    
    • Frame被存放于ArrayDeque中,实际是用于描述上一个操作的关系表达式以及table的别名怎么映射到row type中

    RelFactories.FilterFactory.createFilter

    calcite-core-1.18.0-sources.jar!/org/apache/calcite/rel/core/RelFactories.java

      public interface FilterFactory {
        /** Creates a filter. */
        RelNode createFilter(RelNode input, RexNode condition);
      }
    
      private static class FilterFactoryImpl implements FilterFactory {
        public RelNode createFilter(RelNode input, RexNode condition) {
          return LogicalFilter.create(input, condition);
        }
      }
    
    • FilterFactoryImpl实现了FilterFactory接口,createFilter方法执行的是LogicalFilter.create(input, condition),这里input是RelNode类型(RelNode取的是Frame的rel),condition是RexNode类型

    LogicalFilter

    calcite-core-1.18.0-sources.jar!/org/apache/calcite/rel/logical/LogicalFilter.java

    public final class LogicalFilter extends Filter {
      private final ImmutableSet<CorrelationId> variablesSet;
    
      /** Creates a LogicalFilter. */
      public static LogicalFilter create(final RelNode input, RexNode condition) {
        return create(input, condition, ImmutableSet.of());
      }
    
      /** Creates a LogicalFilter. */
      public static LogicalFilter create(final RelNode input, RexNode condition,
          ImmutableSet<CorrelationId> variablesSet) {
        final RelOptCluster cluster = input.getCluster();
        final RelMetadataQuery mq = cluster.getMetadataQuery();
        final RelTraitSet traitSet = cluster.traitSetOf(Convention.NONE)
            .replaceIfs(RelCollationTraitDef.INSTANCE,
                () -> RelMdCollation.filter(mq, input))
            .replaceIf(RelDistributionTraitDef.INSTANCE,
                () -> RelMdDistribution.filter(mq, input));
        return new LogicalFilter(cluster, traitSet, input, condition, variablesSet);
      }
    
      //......
    }
    
    • LogicalFilter继承了抽象类Filter,Filter继承了SingleRel,SingleRel继承了AbstractRelNode,AbstractRelNode实现了RelNode接口

    小结

    • Table的where及filter操作均有两中方法,一种是String参数,一种是Expression参数;而where方法内部是调用filter方法;filter方法使用Filter(predicate, logicalPlan).validate(tableEnv)创建了新的Table;String参数最后是通过ExpressionParser.parseExpression方法转换为Expression类型
    • Filter对象继承了UnaryNode,它覆盖了output、construct、validate等方法;construct方法先通过Expression.toRexNode将flink的Expression转换为Apache Calcite的RexNode(RexNode是Row expression,可以通过RexBuilder来创建;它有很多子类,比如RexCall、RexVariable、RexFieldAccess等),然后再执行Apache Calcite的RelBuilder的filter方法
    • RelBuilder在构造器里头创建了RelFactories.FilterFactory,它提供了两个filter方法,一个是RexNode变长数组参数,一个是RexNode类型的Iterable参数;filter方法首先使用simplifier.simplifyFilterPredicates将RexNode类型的Iterable转为simplifiedPredicates(RexNode),之后只要simplifiedPredicates.isAlwaysTrue()为false,则取出deque中队首的Frame(LIFO (Last-In-First-Out) stacks,Frame被存放于ArrayDeque中,实际是用于描述上一个操作的关系表达式以及table的别名怎么映射到row type中),调用filterFactory.createFilter创建RelNode构造新的Frame,然后重新放入deque的队首;FilterFactoryImpl实现了FilterFactory接口,createFilter方法执行的是LogicalFilter.create(input, condition),这里input是RelNode类型(RelNode取的是Frame的rel),condition是RexNode类型(RexNode是Row expression,可以通过RexBuilder来创建;它有很多子类,比如RexCall、RexVariable、RexFieldAccess等);LogicalFilter继承了抽象类Filter,Filter继承了SingleRel,SingleRel继承了AbstractRelNode,AbstractRelNode实现了RelNode接口

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