Examples with TableException org.apache.flink.table.api.TableException used on opensource projects

Example 46 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamPhysicalPythonOverAggregateRule method matches.

@Override
public boolean matches(RelOptRuleCall call) {
    FlinkLogicalOverAggregate logicWindow = call.rel(0);
    List<AggregateCall> aggCalls = logicWindow.groups.get(0).getAggregateCalls(logicWindow);
    boolean existGeneralPythonFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.GENERAL));
    boolean existPandasFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.PANDAS));
    boolean existJavaFunction = aggCalls.stream().anyMatch(x -> !PythonUtil.isPythonAggregate(x, null));
    if (existPandasFunction || existGeneralPythonFunction) {
        if (existGeneralPythonFunction) {
            throw new TableException("Non-Pandas Python UDAFs are not supported in stream mode currently.");
        }
        if (existJavaFunction) {
            throw new TableException("Python UDAF and Java/Scala UDAF cannot be used together.");
        }
        return true;
    } else {
        return false;
    }
}

Example 47 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamPhysicalPythonGroupWindowAggregateRule method matches.

@Override
public boolean matches(RelOptRuleCall call) {
    FlinkLogicalWindowAggregate agg = call.rel(0);
    List<AggregateCall> aggCalls = agg.getAggCallList();
    // check if we have grouping sets
    if (agg.getGroupType() != Aggregate.Group.SIMPLE || agg.indicator) {
        throw new TableException("GROUPING SETS are currently not supported.");
    }
    boolean existGeneralPythonFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.GENERAL));
    boolean existPandasFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.PANDAS));
    boolean existJavaFunction = aggCalls.stream().anyMatch(x -> !PythonUtil.isPythonAggregate(x, null) && !PythonUtil.isBuiltInAggregate(x));
    if (existPandasFunction && existGeneralPythonFunction) {
        throw new TableException("Pandas UDAFs and General Python UDAFs are not supported in used together currently.");
    }
    if (existPandasFunction || existGeneralPythonFunction) {
        if (existJavaFunction) {
            throw new TableException("Python UDAF and Java/Scala UDAF cannot be used together.");
        }
        return true;
    } else {
        return false;
    }
}

Example 48 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class StreamPhysicalPythonGroupWindowAggregateRule method convert.

@Override
public RelNode convert(RelNode rel) {
    FlinkLogicalWindowAggregate agg = (FlinkLogicalWindowAggregate) rel;
    LogicalWindow window = agg.getWindow();
    List<AggregateCall> aggCalls = agg.getAggCallList();
    boolean isPandasPythonUDAF = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.PANDAS));
    if (isPandasPythonUDAF && window instanceof SessionGroupWindow) {
        throw new TableException("Session Group Window is currently not supported for Pandas UDAF.");
    }
    RelNode input = agg.getInput();
    RelOptCluster cluster = rel.getCluster();
    FlinkRelDistribution requiredDistribution;
    if (agg.getGroupCount() != 0) {
        requiredDistribution = FlinkRelDistribution.hash(agg.getGroupSet().asList(), true);
    } else {
        requiredDistribution = FlinkRelDistribution.SINGLETON();
    }
    RelTraitSet requiredTraitSet = input.getTraitSet().replace(FlinkConventions.STREAM_PHYSICAL()).replace(requiredDistribution);
    RelTraitSet providedTraitSet = rel.getTraitSet().replace(FlinkConventions.STREAM_PHYSICAL());
    RelNode newInput = RelOptRule.convert(input, requiredTraitSet);
    ReadableConfig config = ShortcutUtils.unwrapTableConfig(rel);
    WindowEmitStrategy emitStrategy = WindowEmitStrategy.apply(config, agg.getWindow());
    if (emitStrategy.produceUpdates()) {
        throw new TableException("Python Group Window Aggregate Function is currently not supported for early fired or lately fired.");
    }
    return new StreamPhysicalPythonGroupWindowAggregate(cluster, providedTraitSet, newInput, rel.getRowType(), agg.getGroupSet().toArray(), JavaScalaConversionUtil.toScala(aggCalls), agg.getWindow(), agg.getNamedProperties(), emitStrategy);
}

Example 49 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class BatchPhysicalPythonAggregateRule method matches.

@Override
public boolean matches(RelOptRuleCall call) {
    FlinkLogicalAggregate agg = call.rel(0);
    List<AggregateCall> aggCalls = agg.getAggCallList();
    boolean existGeneralPythonFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.GENERAL));
    boolean existPandasFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.PANDAS));
    boolean existJavaFunction = aggCalls.stream().anyMatch(x -> !PythonUtil.isPythonAggregate(x, null));
    if (existPandasFunction || existGeneralPythonFunction) {
        if (existGeneralPythonFunction) {
            throw new TableException("non-Pandas UDAFs are not supported in batch mode currently.");
        }
        if (existJavaFunction) {
            throw new TableException("Python UDAF and Java/Scala UDAF cannot be used together.");
        }
        return true;
    } else {
        return false;
    }
}

Example 50 with TableException

use of org.apache.flink.table.api.TableException in project flink by apache.

the class BatchPhysicalPythonWindowAggregateRule method matches.

@Override
public boolean matches(RelOptRuleCall call) {
    FlinkLogicalWindowAggregate agg = call.rel(0);
    List<AggregateCall> aggCalls = agg.getAggCallList();
    boolean existGeneralPythonFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.GENERAL));
    boolean existPandasFunction = aggCalls.stream().anyMatch(x -> PythonUtil.isPythonAggregate(x, PythonFunctionKind.PANDAS));
    boolean existJavaFunction = aggCalls.stream().anyMatch(x -> !PythonUtil.isPythonAggregate(x, null));
    if (existPandasFunction || existGeneralPythonFunction) {
        if (existGeneralPythonFunction) {
            throw new TableException("non-Pandas UDAFs are not supported in batch mode currently.");
        }
        if (existJavaFunction) {
            throw new TableException("Python UDAF and Java/Scala UDAF cannot be used together.");
        }
        return true;
    } else {
        return false;
    }
}