Examples with JoinedRowData org.apache.flink.table.data.utils.JoinedRowData used on opensource projects

Example 31 with JoinedRowData

use of org.apache.flink.table.data.utils.JoinedRowData in project flink by apache.

the class RowDataTest method testJoinedRow.

@Test
public void testJoinedRow() {
    GenericRowData row1 = new GenericRowData(5);
    row1.setField(0, true);
    row1.setField(1, (byte) 1);
    row1.setField(2, (short) 2);
    row1.setField(3, 3);
    row1.setField(4, (long) 4);
    GenericRowData row2 = new GenericRowData(13);
    row2.setField(0, (float) 5);
    row2.setField(1, (double) 6);
    row2.setField(2, (char) 7);
    row2.setField(3, str);
    row2.setField(4, generic);
    row2.setField(5, decimal1);
    row2.setField(6, decimal2);
    row2.setField(7, array);
    row2.setField(8, map);
    row2.setField(9, underRow);
    row2.setField(10, bytes);
    row2.setField(11, timestamp1);
    row2.setField(12, timestamp2);
    testGetters(new JoinedRowData(row1, row2));
}

Example 32 with JoinedRowData

use of org.apache.flink.table.data.utils.JoinedRowData in project flink by apache.

the class ProcTimeRowsBoundedPrecedingFunction method open.

@Override
public void open(Configuration parameters) throws Exception {
    function = genAggsHandler.newInstance(getRuntimeContext().getUserCodeClassLoader());
    function.open(new PerKeyStateDataViewStore(getRuntimeContext()));
    output = new JoinedRowData();
    // input element are all binary row as they are came from network
    InternalTypeInfo<RowData> inputType = InternalTypeInfo.ofFields(inputFieldTypes);
    // We keep the elements received in a Map state keyed
    // by the ingestion time in the operator.
    // we also keep counter of processed elements
    // and timestamp of oldest element
    ListTypeInfo<RowData> rowListTypeInfo = new ListTypeInfo<RowData>(inputType);
    MapStateDescriptor<Long, List<RowData>> mapStateDescriptor = new MapStateDescriptor<Long, List<RowData>>("inputState", BasicTypeInfo.LONG_TYPE_INFO, rowListTypeInfo);
    inputState = getRuntimeContext().getMapState(mapStateDescriptor);
    InternalTypeInfo<RowData> accTypeInfo = InternalTypeInfo.ofFields(accTypes);
    ValueStateDescriptor<RowData> stateDescriptor = new ValueStateDescriptor<RowData>("accState", accTypeInfo);
    accState = getRuntimeContext().getState(stateDescriptor);
    ValueStateDescriptor<Long> processedCountDescriptor = new ValueStateDescriptor<Long>("processedCountState", Types.LONG);
    counterState = getRuntimeContext().getState(processedCountDescriptor);
    ValueStateDescriptor<Long> smallestTimestampDescriptor = new ValueStateDescriptor<Long>("smallestTSState", Types.LONG);
    smallestTsState = getRuntimeContext().getState(smallestTimestampDescriptor);
    initCleanupTimeState("ProcTimeBoundedRowsOverCleanupTime");
}

Example 33 with JoinedRowData

use of org.apache.flink.table.data.utils.JoinedRowData in project flink by apache.

the class RowTimeRangeBoundedPrecedingFunction method open.

@Override
public void open(Configuration parameters) throws Exception {
    function = genAggsHandler.newInstance(getRuntimeContext().getUserCodeClassLoader());
    function.open(new PerKeyStateDataViewStore(getRuntimeContext()));
    output = new JoinedRowData();
    ValueStateDescriptor<Long> lastTriggeringTsDescriptor = new ValueStateDescriptor<Long>("lastTriggeringTsState", Types.LONG);
    lastTriggeringTsState = getRuntimeContext().getState(lastTriggeringTsDescriptor);
    InternalTypeInfo<RowData> accTypeInfo = InternalTypeInfo.ofFields(accTypes);
    ValueStateDescriptor<RowData> accStateDesc = new ValueStateDescriptor<RowData>("accState", accTypeInfo);
    accState = getRuntimeContext().getState(accStateDesc);
    // input element are all binary row as they are came from network
    InternalTypeInfo<RowData> inputType = InternalTypeInfo.ofFields(inputFieldTypes);
    ListTypeInfo<RowData> rowListTypeInfo = new ListTypeInfo<RowData>(inputType);
    MapStateDescriptor<Long, List<RowData>> inputStateDesc = new MapStateDescriptor<Long, List<RowData>>("inputState", Types.LONG, rowListTypeInfo);
    inputState = getRuntimeContext().getMapState(inputStateDesc);
    ValueStateDescriptor<Long> cleanupTsStateDescriptor = new ValueStateDescriptor<>("cleanupTsState", Types.LONG);
    this.cleanupTsState = getRuntimeContext().getState(cleanupTsStateDescriptor);
    // metrics
    this.numLateRecordsDropped = getRuntimeContext().getMetricGroup().counter(LATE_ELEMENTS_DROPPED_METRIC_NAME);
}

Example 34 with JoinedRowData

use of org.apache.flink.table.data.utils.JoinedRowData in project flink by apache.

the class LookupJoinRunner method open.

@Override
public void open(Configuration parameters) throws Exception {
    super.open(parameters);
    this.fetcher = generatedFetcher.newInstance(getRuntimeContext().getUserCodeClassLoader());
    this.collector = generatedCollector.newInstance(getRuntimeContext().getUserCodeClassLoader());
    FunctionUtils.setFunctionRuntimeContext(fetcher, getRuntimeContext());
    FunctionUtils.setFunctionRuntimeContext(collector, getRuntimeContext());
    FunctionUtils.openFunction(fetcher, parameters);
    FunctionUtils.openFunction(collector, parameters);
    this.nullRow = new GenericRowData(tableFieldsCount);
    this.outRow = new JoinedRowData();
}

Example 35 with JoinedRowData

use of org.apache.flink.table.data.utils.JoinedRowData in project flink by apache.

the class TemporalRowTimeJoinOperator method open.

@Override
public void open() throws Exception {
    super.open();
    joinCondition = generatedJoinCondition.newInstance(getRuntimeContext().getUserCodeClassLoader());
    joinCondition.setRuntimeContext(getRuntimeContext());
    joinCondition.open(new Configuration());
    nextLeftIndex = getRuntimeContext().getState(new ValueStateDescriptor<>(NEXT_LEFT_INDEX_STATE_NAME, Types.LONG));
    leftState = getRuntimeContext().getMapState(new MapStateDescriptor<>(LEFT_STATE_NAME, Types.LONG, leftType));
    rightState = getRuntimeContext().getMapState(new MapStateDescriptor<>(RIGHT_STATE_NAME, Types.LONG, rightType));
    registeredTimer = getRuntimeContext().getState(new ValueStateDescriptor<>(REGISTERED_TIMER_STATE_NAME, Types.LONG));
    timerService = getInternalTimerService(TIMERS_STATE_NAME, VoidNamespaceSerializer.INSTANCE, this);
    outRow = new JoinedRowData();
    rightNullRow = new GenericRowData(rightType.toRowType().getFieldCount());
    collector = new TimestampedCollector<>(output);
}