Java EnumerableRelImplementor.result方法代码示例

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
@Override
    public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
        final BlockBuilder list = new BlockBuilder();
        final GremlinTraversalRel.Implementor gremlinImplementor =
                new GremlinTraversalRel.Implementor();
        gremlinImplementor.visitChild(0, getInput());

        PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(),
                getRowType(), pref.preferArray());

        return implementor.result(
                physType,
                Blocks.toBlock(
                        Expressions.call(GremlinTraversalScan.class,
                                "scan")));
//        return null;
    }
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  PhysType physType =
      PhysTypeImpl.of(
          implementor.getTypeFactory(),
          getRowType(),
          pref.preferArray());

  if (table instanceof JsonTable) {
    return implementor.result(
        physType,
        Blocks.toBlock(
            Expressions.call(table.getExpression(JsonTable.class),
                "enumerable")));
  }
  return implementor.result(
      physType,
      Blocks.toBlock(
          Expressions.call(table.getExpression(CsvTranslatableTable.class),
              "project", implementor.getRootExpression(),
              Expressions.constant(fields))));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  // Generate:
  //   RDD rdd = ...;
  //   return SparkRuntime.asEnumerable(rdd);
  final BlockBuilder list = new BlockBuilder();
  final SparkRel child = (SparkRel) getInput();
  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());
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
    final PhysType physType =
            PhysTypeImpl.of(
                    implementor.getTypeFactory(),
                    getRowType(),
                    pref.preferArray());
    return implementor.result(
            physType,
            Blocks.toBlock(
                    Expressions.call(table.getExpression(OctopusMetaModelTable.class),
                            "project")));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  PhysType physType =
      PhysTypeImpl.of(
          implementor.getTypeFactory(),
          getRowType(),
          pref.preferArray());

  return implementor.result(
      physType,
      Blocks.toBlock(
          Expressions.call(table.getExpression(QuarkTable.class),
              "project",
              Expressions.constant(QuarkEnumerator.identityList(
                  getRowType().getFieldCount())))));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  PhysType physType =
      PhysTypeImpl.of(
          implementor.getTypeFactory(),
          getRowType(),
          pref.preferArray());

  return implementor.result(
      physType,
      Blocks.toBlock(
          Expressions.call(table.getExpression(QuarkTileTable.class),
              "project", Expressions.constant(
                  QuarkEnumerator.identityList(getRowType().getFieldCount())))));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {

    context.setReturnTupleInfo(rowType, columnRowType);

    PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), pref.preferArray());
    RelOptTable factTable = context.firstTableScan.getTable();
    MethodCallExpression exprCall = Expressions.call(factTable.getExpression(OLAPTable.class), "executeOLAPQuery",
            implementor.getRootExpression(), Expressions.constant(context.id));
    return implementor.result(physType, Blocks.toBlock(exprCall));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
@Override
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {

    context.setReturnTupleInfo(rowType, columnRowType);
    String execFunction = genExecFunc();

    PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), getRowType(), JavaRowFormat.ARRAY);
    MethodCallExpression exprCall = Expressions.call(table.getExpression(OLAPTable.class), execFunction,
            implementor.getRootExpression(), Expressions.constant(context.id));
    return implementor.result(physType, Blocks.toBlock(exprCall));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
/**
 * {@inheritDoc}
 *
 * <p>This implementation does not actually execute the associated Pig Latin
 * script and return results. Instead it returns an empty
 * {@link org.apache.calcite.adapter.enumerable.EnumerableRel.Result}
 * in order to allow for testing and verification of every step of query
 * processing up to actual physical execution and result verification.
 *
 * <p>Next step is to invoke Pig from here, likely in local mode, have it
 * store results in a predefined file so they can be read here and returned as
 * a {@code Result} object.
 */
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  final BlockBuilder list = new BlockBuilder();
  final PhysType physType =
      PhysTypeImpl.of(implementor.getTypeFactory(), rowType,
          pref.prefer(JavaRowFormat.ARRAY));
  PigRel.Implementor impl = new PigRel.Implementor();
  impl.visitChild(0, getInput());
  Hook.QUERY_PLAN.run(impl.getScript()); // for script validation in tests
  list.add(
      Expressions.return_(null,
          Expressions.call(
              BuiltInMethod.EMPTY_ENUMERABLE.method)));
  return implementor.result(physType, list.toBlock());
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  PhysType physType =
      PhysTypeImpl.of(
          implementor.getTypeFactory(),
          getRowType(),
          pref.preferArray());

  return implementor.result(
      physType,
      Blocks.toBlock(
          Expressions.call(table.getExpression(FileTable.class), "project",
              Expressions.constant(fields))));
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
@Override public Result implement(EnumerableRelImplementor implementor, Prefer prefer) {
  final BlockBuilder list = new BlockBuilder();
  final ElasticsearchRel.Implementor elasticsearchImplementor =
      new ElasticsearchRel.Implementor();
  elasticsearchImplementor.visitChild(0, getInput());
  final RelDataType rowType = getRowType();
  final PhysType physType = PhysTypeImpl.of(implementor.getTypeFactory(), rowType,
      prefer.prefer(JavaRowFormat.ARRAY));
  final Expression fields = list.append("fields",
      constantArrayList(
          Pair.zip(ElasticsearchRules.elasticsearchFieldNames(rowType),
              new AbstractList<Class>() {
                @Override public Class get(int index) {
                  return physType.fieldClass(index);
                }

                @Override public int size() {
                  return rowType.getFieldCount();
                }
              }),
          Pair.class));
  final Expression table = list.append("table",
      elasticsearchImplementor.table
          .getExpression(AbstractElasticsearchTable.ElasticsearchQueryable.class));
  List<String> opList = elasticsearchImplementor.list;
  final Expression ops = list.append("ops", constantArrayList(opList, String.class));
  Expression enumerable = list.append("enumerable",
      Expressions.call(table, ElasticsearchMethod.ELASTICSEARCH_QUERYABLE_FIND.method, ops,
          fields));
  if (CalcitePrepareImpl.DEBUG) {
    System.out.println("Elasticsearch: " + opList);
  }
  Hook.QUERY_PLAN.run(opList);
  list.add(Expressions.return_(null, enumerable));
  return implementor.result(physType, list.toBlock());
}
 

import org.apache.calcite.adapter.enumerable.EnumerableRelImplementor; //导入方法依赖的package包/类
public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
  // Generates a call to "find" or "aggregate", depending upon whether
  // an aggregate is present.
  //
  //   ((MongoTable) schema.getTable("zips")).find(
  //     "{state: 'CA'}",
  //     "{city: 1, zipcode: 1}")
  //
  //   ((MongoTable) schema.getTable("zips")).aggregate(
  //     "{$filter: {state: 'CA'}}",
  //     "{$group: {_id: '$city', c: {$sum: 1}, p: {$sum: "$pop"}}")
  final BlockBuilder list = new BlockBuilder();
  final MongoRel.Implementor mongoImplementor = new MongoRel.Implementor();
  mongoImplementor.visitChild(0, getInput());
  int aggCount = 0;
  int findCount = 0;
  String project = null;
  String filter = null;
  for (Pair<String, String> op : mongoImplementor.list) {
    if (op.left == null) {
      ++aggCount;
    }
    if (op.right.startsWith("{$match:")) {
      filter = op.left;
      ++findCount;
    }
    if (op.right.startsWith("{$project:")) {
      project = op.left;
      ++findCount;
    }
  }
  final RelDataType rowType = getRowType();
  final PhysType physType =
      PhysTypeImpl.of(
          implementor.getTypeFactory(), rowType,
          pref.prefer(JavaRowFormat.ARRAY));
  final Expression fields =
      list.append("fields",
          constantArrayList(
              Pair.zip(MongoRules.mongoFieldNames(rowType),
                  new AbstractList<Class>() {
                    @Override public Class get(int index) {
                      return physType.fieldClass(index);
                    }

                    @Override public int size() {
                      return rowType.getFieldCount();
                    }
                  }),
              Pair.class));
  final Expression table =
      list.append("table",
          mongoImplementor.table.getExpression(
              MongoTable.MongoQueryable.class));
  List<String> opList = Pair.right(mongoImplementor.list);
  final Expression ops =
      list.append("ops",
          constantArrayList(opList, String.class));
  Expression enumerable =
      list.append("enumerable",
          Expressions.call(table,
              MongoMethod.MONGO_QUERYABLE_AGGREGATE.method, fields, ops));
  if (CalcitePrepareImpl.DEBUG) {
    System.out.println("Mongo: " + opList);
  }
  Hook.QUERY_PLAN.run(opList);
  list.add(
      Expressions.return_(null, enumerable));
  return implementor.result(physType, list.toBlock());
}