Examples with KsTransformer io.confluent.ksql.execution.streams.transform.KsTransformer used on opensource projects

Example 1 with KsTransformer

use of io.confluent.ksql.execution.streams.transform.KsTransformer in project ksql by confluentinc.

the class TableSelectBuilder method build.

@SuppressWarnings("unchecked")
public static <K> KTableHolder<K> build(final KTableHolder<K> table, final TableSelect<K> step, final RuntimeBuildContext buildContext, final Optional<Formats> formats, final MaterializedFactory materializedFactory) {
    final LogicalSchema sourceSchema = table.getSchema();
    final QueryContext queryContext = step.getProperties().getQueryContext();
    final Selection<K> selection = Selection.of(sourceSchema, step.getKeyColumnNames(), step.getSelectExpressions(), buildContext.getKsqlConfig(), buildContext.getFunctionRegistry());
    final SelectValueMapper<K> selectMapper = selection.getMapper();
    final ProcessingLogger logger = buildContext.getProcessingLogger(queryContext);
    final Named selectName = Named.as(StreamsUtil.buildOpName(queryContext));
    final Optional<MaterializationInfo.Builder> matBuilder = table.getMaterializationBuilder();
    final boolean forceMaterialize = !matBuilder.isPresent();
    final Serde<K> keySerde;
    final Serde<GenericRow> valSerde;
    if (formats.isPresent()) {
        final Formats materializationFormat = formats.get();
        final PhysicalSchema physicalSchema = PhysicalSchema.from(selection.getSchema(), materializationFormat.getKeyFeatures(), materializationFormat.getValueFeatures());
        keySerde = (Serde<K>) buildContext.buildKeySerde(materializationFormat.getKeyFormat(), physicalSchema, queryContext);
        valSerde = buildContext.buildValueSerde(materializationFormat.getValueFormat(), physicalSchema, queryContext);
        if (forceMaterialize) {
            final Stacker stacker = Stacker.of(step.getProperties().getQueryContext());
            final String stateStoreName = StreamsUtil.buildOpName(stacker.push(PROJECT_OP).getQueryContext());
            final Materialized<K, GenericRow, KeyValueStore<Bytes, byte[]>> materialized = materializedFactory.create(keySerde, valSerde, stateStoreName);
            final KTable<K, GenericRow> transFormedTable = table.getTable().transformValues(() -> new KsTransformer<>(selectMapper.getTransformer(logger)), materialized);
            return KTableHolder.materialized(transFormedTable, selection.getSchema(), table.getExecutionKeyFactory(), MaterializationInfo.builder(stateStoreName, selection.getSchema()));
        }
    } else {
        keySerde = null;
        valSerde = null;
    }
    final KTable<K, GenericRow> transFormedTable = table.getTable().transformValues(() -> new KsTransformer<>(selectMapper.getTransformer(logger)), Materialized.with(keySerde, valSerde), selectName);
    final Optional<MaterializationInfo.Builder> materialization = matBuilder.map(b -> b.map(pl -> (KsqlTransformer<Object, GenericRow>) selectMapper.getTransformer(pl), selection.getSchema(), queryContext));
    return table.withTable(transFormedTable, selection.getSchema()).withMaterialization(materialization);
}

Example 2 with KsTransformer

use of io.confluent.ksql.execution.streams.transform.KsTransformer in project ksql by confluentinc.

the class TableSuppressBuilder method build.

@VisibleForTesting
@SuppressWarnings("unchecked")
<K> KTableHolder<K> build(final KTableHolder<K> table, final TableSuppress<K> step, final RuntimeBuildContext buildContext, final ExecutionKeyFactory<K> executionKeyFactory, final PhysicalSchemaFactory physicalSchemaFactory, final BiFunction<Serde<K>, Serde<GenericRow>, Materialized> materializedFactory) {
    final PhysicalSchema physicalSchema = physicalSchemaFactory.create(table.getSchema(), step.getInternalFormats().getKeyFeatures(), step.getInternalFormats().getValueFeatures());
    final QueryContext queryContext = QueryContext.Stacker.of(step.getProperties().getQueryContext()).push(SUPPRESS_OP_NAME).getQueryContext();
    final Serde<K> keySerde = executionKeyFactory.buildKeySerde(step.getInternalFormats().getKeyFormat(), physicalSchema, queryContext);
    final Serde<GenericRow> valueSerde = buildContext.buildValueSerde(step.getInternalFormats().getValueFormat(), physicalSchema, queryContext);
    final Materialized<K, GenericRow, KeyValueStore<Bytes, byte[]>> materialized = materializedFactory.apply(keySerde, valueSerde);
    final Suppressed.StrictBufferConfig strictBufferConfig;
    final long maxBytes = buildContext.getKsqlConfig().getLong(KsqlConfig.KSQL_SUPPRESS_BUFFER_SIZE_BYTES);
    if (maxBytes < 0) {
        strictBufferConfig = Suppressed.BufferConfig.unbounded();
    } else {
        strictBufferConfig = Suppressed.BufferConfig.maxBytes(maxBytes).shutDownWhenFull();
    }
    /* This is a dummy transformValues() call, we do this to ensure that the correct materialized
    with the correct key and val serdes is passed on when we call suppress
     */
    final KTable<K, GenericRow> suppressed = table.getTable().transformValues((() -> new KsTransformer<>((k, v, ctx) -> v)), materialized).suppress((Suppressed<? super K>) Suppressed.untilWindowCloses(strictBufferConfig).withName(SUPPRESS_OP_NAME));
    return table.withTable(suppressed, table.getSchema());
}

Example 3 with KsTransformer

use of io.confluent.ksql.execution.streams.transform.KsTransformer in project ksql by confluentinc.

the class TableFilterBuilder method build.

static <K> KTableHolder<K> build(final KTableHolder<K> table, final TableFilter<K> step, final RuntimeBuildContext buildContext, final SqlPredicateFactory sqlPredicateFactory) {
    final SqlPredicate predicate = sqlPredicateFactory.create(step.getFilterExpression(), table.getSchema(), buildContext.getKsqlConfig(), buildContext.getFunctionRegistry());
    final ProcessingLogger processingLogger = buildContext.getProcessingLogger(step.getProperties().getQueryContext());
    final Stacker stacker = Stacker.of(step.getProperties().getQueryContext());
    final KTable<K, GenericRow> filtered = table.getTable().transformValues(() -> new KsTransformer<>(predicate.getTransformer(processingLogger)), Named.as(StreamsUtil.buildOpName(stacker.push(PRE_PROCESS_OP).getQueryContext()))).filter((k, v) -> v.isPresent(), Named.as(StreamsUtil.buildOpName(stacker.push(FILTER_OP).getQueryContext()))).mapValues(Optional::get, Named.as(StreamsUtil.buildOpName(stacker.push(POST_PROCESS_OP).getQueryContext())));
    return table.withTable(filtered, table.getSchema()).withMaterialization(table.getMaterializationBuilder().map(b -> b.filter(predicate::getTransformer, step.getProperties().getQueryContext())));
}

Example 4 with KsTransformer

use of io.confluent.ksql.execution.streams.transform.KsTransformer in project ksql by confluentinc.

the class StreamSelectBuilder method build.

public static <K> KStreamHolder<K> build(final KStreamHolder<K> stream, final StreamSelect<K> step, final RuntimeBuildContext buildContext) {
    final QueryContext queryContext = step.getProperties().getQueryContext();
    final LogicalSchema sourceSchema = stream.getSchema();
    final Selection<K> selection = Selection.of(sourceSchema, step.getKeyColumnNames(), step.getSelectExpressions(), buildContext.getKsqlConfig(), buildContext.getFunctionRegistry());
    final SelectValueMapper<K> selectMapper = selection.getMapper();
    final ProcessingLogger logger = buildContext.getProcessingLogger(queryContext);
    final Named selectName = Named.as(StreamsUtil.buildOpName(queryContext));
    return stream.withStream(stream.getStream().transformValues(() -> new KsTransformer<>(selectMapper.getTransformer(logger)), selectName), selection.getSchema());
}

Example 5 with KsTransformer

use of io.confluent.ksql.execution.streams.transform.KsTransformer in project ksql by confluentinc.

the class StreamAggregateBuilder method build.

@SuppressWarnings({ "rawtypes", "unchecked" })
static KTableHolder<Windowed<GenericKey>> build(final KGroupedStreamHolder groupedStream, final StreamWindowedAggregate aggregate, final RuntimeBuildContext buildContext, final MaterializedFactory materializedFactory, final AggregateParamsFactory aggregateParamsFactory) {
    final LogicalSchema sourceSchema = groupedStream.getSchema();
    final List<ColumnName> nonFuncColumns = aggregate.getNonAggregateColumns();
    final AggregateParams aggregateParams = aggregateParamsFactory.create(sourceSchema, nonFuncColumns, buildContext.getFunctionRegistry(), aggregate.getAggregationFunctions(), true, buildContext.getKsqlConfig());
    final LogicalSchema aggregateSchema = aggregateParams.getAggregateSchema();
    final LogicalSchema resultSchema = aggregateParams.getSchema();
    final KsqlWindowExpression ksqlWindowExpression = aggregate.getWindowExpression();
    final KTable<Windowed<GenericKey>, GenericRow> aggregated = ksqlWindowExpression.accept(new WindowedAggregator(groupedStream.getGroupedStream(), aggregate, aggregateSchema, buildContext, materializedFactory, aggregateParams), null);
    final KudafAggregator<Windowed<GenericKey>> aggregator = aggregateParams.getAggregator();
    KTable<Windowed<GenericKey>, GenericRow> reduced = aggregated.transformValues(() -> new KsTransformer<>(aggregator.getResultMapper()), Named.as(StreamsUtil.buildOpName(AggregateBuilderUtils.outputContext(aggregate))));
    final MaterializationInfo.Builder materializationBuilder = AggregateBuilderUtils.materializationInfoBuilder(aggregateParams.getAggregator(), aggregate, aggregateSchema, resultSchema);
    reduced = reduced.transformValues(() -> new KsTransformer<>(new WindowBoundsPopulator()), Named.as(StreamsUtil.buildOpName(AggregateBuilderUtils.windowSelectContext(aggregate))));
    materializationBuilder.map(pl -> (KsqlTransformer) new WindowBoundsPopulator(), resultSchema, AggregateBuilderUtils.windowSelectContext(aggregate));
    return KTableHolder.materialized(reduced, resultSchema, ExecutionKeyFactory.windowed(buildContext, ksqlWindowExpression.getWindowInfo()), materializationBuilder);
}