Examples of net.hydromatic.optiq.impl.java.JavaTypeFactory

net.hydromatic.optiq.impl.java.JavaTypeFactory
Type factory that can register Java classes as record types.

  /** Executes a prepare action. */
  public <R> R perform(OptiqServerStatement statement,
      Frameworks.PrepareAction<R> action) {
    final OptiqPrepare.Context prepareContext =
        statement.createPrepareContext();
    final JavaTypeFactory typeFactory = prepareContext.getTypeFactory();
    OptiqCatalogReader catalogReader =
        new OptiqCatalogReader(prepareContext.getRootSchema(),
            prepareContext.config().caseSensitive(),
            prepareContext.getDefaultSchemaPath(),
            typeFactory);

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      OptiqPrepare.ParseResult parsed =
          Schemas.parse(MATERIALIZATION_CONNECTION, schema, schemaPath,
              viewSql);
      final List<String> schemaPath1 =
          schemaPath != null ? schemaPath : schema.path(null);
      final JavaTypeFactory typeFactory = (JavaTypeFactory) parsed.typeFactory;
      return new ViewTable(typeFactory.getJavaClass(parsed.rowType),
          RelDataTypeImpl.proto(parsed.rowType), viewSql, schemaPath1);
    }

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      return new EnumerableCalcRel(getCluster(), traitSet, child,
          program.getOutputRowType(), program, collationList);
    }


    public Result implement(EnumerableRelImplementor implementor, Prefer pref) {
      final JavaTypeFactory typeFactory = implementor.getTypeFactory();
      final BlockBuilder builder = new BlockBuilder();
      final EnumerableRel child = (EnumerableRel) getChild();


      final Result result =
          implementor.visitChild(this, 0, child, pref);

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              materialization.starRelOptTable));
    }


    for (OptiqSchema.LatticeEntry lattice : lattices) {
      final OptiqSchema.TableEntry starTable = lattice.getStarTable();
      final JavaTypeFactory typeFactory = context.getTypeFactory();
      final RelOptTableImpl starRelOptTable =
          RelOptTableImpl.create(catalogReader,
              starTable.getTable().getRowType(typeFactory), starTable, null);
      planner.addLattice(
          new RelOptLattice(lattice.getLattice(), starRelOptTable));

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            ImmutableMap.of(OptiqConnectionProperty.CREATE_MATERIALIZATIONS,
                "false");
        final OptiqPrepare.PrepareResult<Object> prepareResult =
            Schemas.prepare(connection, schema, viewSchemaPath, viewSql, map);
        rowType = prepareResult.rowType;
        final JavaTypeFactory typeFactory = connection.getTypeFactory();
        materializedTable =
            CloneSchema.createCloneTable(typeFactory,
                RelDataTypeImpl.proto(prepareResult.rowType),
                Functions.adapt(prepareResult.structType.columns,
                    new Function1<ColumnMetaData, ColumnMetaData.Rep>() {

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          PhysTypeImpl.of(
              implementor.getTypeFactory(),
              getRowType(),
              result.format);


      final JavaTypeFactory typeFactory = implementor.getTypeFactory();
      RelDataType inputRowType = child.getRowType();


      // final Enumerable<List<Employee>> child = <<child impl>>;
      // return child.selectMany(LIST_TO_ENUMERABLE);
      final Expression child_ =

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  protected Table<Integer, Comparable, Object> createTable( TupleEntryIterator entryIterator, boolean useOrdinal )
    {
    Table<Integer, Comparable, Object> table = createNullableTable();


    JavaTypeFactory typeFactory = getTypeFactory();
    int row = 0;
    while( entryIterator.hasNext() )
      {
      TupleEntry entry = entryIterator.next();


      for( Comparable field : entry.getFields() )
        {
        // we must coerce into the actual sql type returned by the result-set
        Object value = entry.getObject( field );
        int columnPos = entry.getFields().getPos( field );
        Type type = entry.getFields().getType( columnPos );


        if( value != null && type instanceof BasicSqlType )
          {
          value = ( (CoercibleType) type ).coerce( value, typeFactory.getJavaClass( ( (BasicSqlType) type ) ) );


          // for date-time types, the canonical type (int or long) -- chosen for
          // efficient internal processing -- is not what is returned to the
          // end-user from JDBC (java.sql.Date etc.)
          switch( ( (BasicSqlType) type ).getSqlTypeName() )

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  @Override
  protected Table<Integer, Comparable, Object> createTable( TupleEntryIterator entryIterator, boolean useOrdinal )
    {
    Table<Integer, Comparable, Object> table = createNullableTable();


    JavaTypeFactory typeFactory = new FieldTypeFactory();
    int row = 0;
    while( entryIterator.hasNext() )
      {
      TupleEntry entry = entryIterator.next();


      for( Comparable field : entry.getFields() )
        {
        // we must coerce into the actual sql type returned by the result-set
        Object value = entry.getObject( field );
        int columnPos = entry.getFields().getPos( field );
        Type type = entry.getFields().getType( columnPos );


        if( type instanceof BasicSqlType )
          {
          value = ( (CoercibleType) type ).coerce( value, typeFactory.getJavaClass( ( (BasicSqlType) type ) ) );


          // for date-time types, the canonical type (int or long) -- chosen for
          // efficient internal processing -- is not what is returned to the
          // end-user from JDBC (java.sql.Date etc.)
          switch( ( (BasicSqlType) type ).getSqlTypeName() )

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cascading.lingual.jdbc.JDBCPlatformTestCase

cascading.lingual.jdbc.JDBCPoolingPlatformTest

net.hydromatic.optiq.impl.jdbc.JdbcTable

net.hydromatic.optiq.impl.jdbc.JdbcTable$JdbcTableQueryable

net.hydromatic.optiq.impl.MaterializedViewTable$MaterializedViewTableMacro

net.hydromatic.optiq.impl.spark.SparkRules$SparkCalcRel

net.hydromatic.optiq.impl.spark.SparkRules$SparkValuesRel

net.hydromatic.optiq.impl.ViewTable$ViewTableMacro

net.hydromatic.optiq.materialize.MaterializationService

net.hydromatic.optiq.prepare.OptiqPrepareImpl

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