Search in sources :

Example 1 with Formats

use of io.confluent.ksql.execution.plan.Formats in project ksql by confluentinc.

the class EngineExecutor method sourceTablePlan.

@SuppressFBWarnings(value = "NP_NULL_PARAM_DEREF_NONVIRTUAL")
private KsqlPlan sourceTablePlan(final ConfiguredStatement<?> statement) {
    final CreateTable createTable = (CreateTable) statement.getStatement();
    final CreateTableCommand ddlCommand = (CreateTableCommand) engineContext.createDdlCommand(statement.getStatementText(), (ExecutableDdlStatement) statement.getStatement(), config);
    final Relation from = new AliasedRelation(new Table(createTable.getName()), createTable.getName());
    // Only VALUE or HEADER columns must be selected from the source table. When running a
    // pull query, the keys are added if selecting all columns.
    final Select select = new Select(createTable.getElements().stream().filter(column -> !column.getConstraints().isKey() && !column.getConstraints().isPrimaryKey()).map(column -> new SingleColumn(new UnqualifiedColumnReferenceExp(column.getName()), Optional.of(column.getName()))).collect(Collectors.toList()));
    // Source table need to keep emitting changes so every new record is materialized for
    // pull query availability.
    final RefinementInfo refinementInfo = RefinementInfo.of(OutputRefinement.CHANGES);
    // This is a plan for a `select * from <source-table> emit changes` statement,
    // without a sink topic to write the results. The query is just made to materialize the
    // source table.
    final Query query = new Query(Optional.empty(), select, from, Optional.empty(), Optional.empty(), Optional.empty(), Optional.empty(), Optional.empty(), Optional.of(refinementInfo), false, OptionalInt.empty());
    // The source table does not exist in the current metastore, so a temporary metastore that
    // contains only the source table is created here. This metastore is used later to create
    // ExecutorsPlan.
    final MutableMetaStore tempMetastore = new MetaStoreImpl(new InternalFunctionRegistry());
    final Formats formats = ddlCommand.getFormats();
    tempMetastore.putSource(new KsqlTable<>(statement.getStatementText(), createTable.getName(), ddlCommand.getSchema(), Optional.empty(), false, new KsqlTopic(ddlCommand.getTopicName(), KeyFormat.of(formats.getKeyFormat(), formats.getKeyFeatures(), Optional.empty()), ValueFormat.of(formats.getValueFormat(), formats.getValueFeatures())), true), false);
    final ExecutorPlans plans = planQuery(statement, query, Optional.empty(), Optional.empty(), tempMetastore);
    final KsqlBareOutputNode outputNode = (KsqlBareOutputNode) plans.logicalPlan.getNode().get();
    final QueryPlan queryPlan = new QueryPlan(getSourceNames(outputNode), Optional.empty(), plans.physicalPlan.getPhysicalPlan(), plans.physicalPlan.getQueryId(), getApplicationId(plans.physicalPlan.getQueryId(), getSourceNames(outputNode)));
    engineContext.createQueryValidator().validateQuery(config, plans.physicalPlan, engineContext.getQueryRegistry().getAllLiveQueries());
    return KsqlPlan.queryPlanCurrent(statement.getStatementText(), Optional.of(ddlCommand), queryPlan);
}
Also used : DataSource(io.confluent.ksql.metastore.model.DataSource) PushPhysicalPlanCreator(io.confluent.ksql.physical.scalablepush.PushPhysicalPlanCreator) CreateTableAsSelect(io.confluent.ksql.parser.tree.CreateTableAsSelect) Arrays(java.util.Arrays) InternalFunctionRegistry(io.confluent.ksql.function.InternalFunctionRegistry) SourceName(io.confluent.ksql.name.SourceName) RoutingOptions(io.confluent.ksql.execution.streams.RoutingOptions) PushPhysicalPlanManager(io.confluent.ksql.physical.scalablepush.PushPhysicalPlanManager) PushPhysicalPlanBuilder(io.confluent.ksql.physical.scalablepush.PushPhysicalPlanBuilder) RoutingNodeType(io.confluent.ksql.util.KsqlConstants.RoutingNodeType) TransientQueryMetadata(io.confluent.ksql.util.TransientQueryMetadata) ExecuteResult(io.confluent.ksql.KsqlExecutionContext.ExecuteResult) Map(java.util.Map) KsqlBareOutputNode(io.confluent.ksql.planner.plan.KsqlBareOutputNode) QueryId(io.confluent.ksql.query.QueryId) ExecutionStep(io.confluent.ksql.execution.plan.ExecutionStep) RefinementInfo(io.confluent.ksql.serde.RefinementInfo) ImmutableAnalysis(io.confluent.ksql.analyzer.ImmutableAnalysis) Sink(io.confluent.ksql.parser.tree.Sink) Set(java.util.Set) Relation(io.confluent.ksql.parser.tree.Relation) ConfiguredStatement(io.confluent.ksql.statement.ConfiguredStatement) MetaStoreImpl(io.confluent.ksql.metastore.MetaStoreImpl) KsqlException(io.confluent.ksql.util.KsqlException) TransientQueryQueue(io.confluent.ksql.query.TransientQueryQueue) PullQueryResult(io.confluent.ksql.physical.pull.PullQueryResult) Iterables(com.google.common.collect.Iterables) FormatOptions(io.confluent.ksql.schema.utils.FormatOptions) PushRouting(io.confluent.ksql.physical.scalablepush.PushRouting) UnqualifiedColumnReferenceExp(io.confluent.ksql.execution.expression.tree.UnqualifiedColumnReferenceExp) CreateStreamAsSelect(io.confluent.ksql.parser.tree.CreateStreamAsSelect) SessionConfig(io.confluent.ksql.config.SessionConfig) CreateStream(io.confluent.ksql.parser.tree.CreateStream) SingleColumn(io.confluent.ksql.parser.tree.SingleColumn) MetaStore(io.confluent.ksql.metastore.MetaStore) KsqlStructuredDataOutputNode(io.confluent.ksql.planner.plan.KsqlStructuredDataOutputNode) PushRoutingOptions(io.confluent.ksql.physical.scalablepush.PushRoutingOptions) PlanInfoExtractor(io.confluent.ksql.execution.plan.PlanInfoExtractor) DataSourceNode(io.confluent.ksql.planner.plan.DataSourceNode) QueryContainer(io.confluent.ksql.parser.tree.QueryContainer) OutputNode(io.confluent.ksql.planner.plan.OutputNode) Throwables(com.google.common.base.Throwables) PushQueryMetadata(io.confluent.ksql.util.PushQueryMetadata) PushQueryQueuePopulator(io.confluent.ksql.physical.scalablepush.PushQueryQueuePopulator) ValueFormat(io.confluent.ksql.serde.ValueFormat) Table(io.confluent.ksql.parser.tree.Table) KsqlStatementException(io.confluent.ksql.util.KsqlStatementException) CreateAsSelect(io.confluent.ksql.parser.tree.CreateAsSelect) KsqlTopic(io.confluent.ksql.execution.ddl.commands.KsqlTopic) OutputRefinement(io.confluent.ksql.parser.OutputRefinement) LogicalPlanNode(io.confluent.ksql.planner.LogicalPlanNode) Query(io.confluent.ksql.parser.tree.Query) ServiceContext(io.confluent.ksql.services.ServiceContext) LoggerFactory(org.slf4j.LoggerFactory) AliasedRelation(io.confluent.ksql.parser.tree.AliasedRelation) Formats(io.confluent.ksql.execution.plan.Formats) MutableMetaStore(io.confluent.ksql.metastore.MutableMetaStore) Context(io.vertx.core.Context) CreateTable(io.confluent.ksql.parser.tree.CreateTable) Locale(java.util.Locale) PersistentQueryMetadata(io.confluent.ksql.util.PersistentQueryMetadata) KsqlTable(io.confluent.ksql.metastore.model.KsqlTable) TopicPartition(org.apache.kafka.common.TopicPartition) ImmutableSet(com.google.common.collect.ImmutableSet) ImmutableMap(com.google.common.collect.ImmutableMap) Collection(java.util.Collection) ScalablePushQueryMetadata(io.confluent.ksql.util.ScalablePushQueryMetadata) ScalablePushQueryMetrics(io.confluent.ksql.internal.ScalablePushQueryMetrics) KsqlConfig(io.confluent.ksql.util.KsqlConfig) ExecutableDdlStatement(io.confluent.ksql.parser.tree.ExecutableDdlStatement) LogicalSchema(io.confluent.ksql.schema.ksql.LogicalSchema) Collectors(java.util.stream.Collectors) DdlCommand(io.confluent.ksql.execution.ddl.commands.DdlCommand) Objects(java.util.Objects) PullQueryExecutorMetrics(io.confluent.ksql.internal.PullQueryExecutorMetrics) QueryPlannerOptions(io.confluent.ksql.planner.QueryPlannerOptions) ConsistencyOffsetVector(io.confluent.ksql.util.ConsistencyOffsetVector) Optional(java.util.Optional) Statement(io.confluent.ksql.parser.tree.Statement) KsqlConstants(io.confluent.ksql.util.KsqlConstants) SuppressFBWarnings(edu.umd.cs.findbugs.annotations.SuppressFBWarnings) PullQueryQueuePopulator(io.confluent.ksql.physical.pull.PullQueryQueuePopulator) PullQueryQueue(io.confluent.ksql.query.PullQueryQueue) PushPhysicalPlan(io.confluent.ksql.physical.scalablepush.PushPhysicalPlan) HARouting(io.confluent.ksql.physical.pull.HARouting) PlanInfo(io.confluent.ksql.execution.plan.PlanInfo) PullPhysicalPlanBuilder(io.confluent.ksql.physical.pull.PullPhysicalPlanBuilder) KeyFormat(io.confluent.ksql.serde.KeyFormat) ResultType(io.confluent.ksql.util.PushQueryMetadata.ResultType) CompletableFuture(java.util.concurrent.CompletableFuture) DataSourceType(io.confluent.ksql.metastore.model.DataSource.DataSourceType) OptionalInt(java.util.OptionalInt) PushOffsetRange(io.confluent.ksql.util.PushOffsetRange) LogicalPlanner(io.confluent.ksql.planner.LogicalPlanner) Logger(org.slf4j.Logger) PhysicalPlan(io.confluent.ksql.physical.PhysicalPlan) PlanSummary(io.confluent.ksql.util.PlanSummary) PullPhysicalPlan(io.confluent.ksql.physical.pull.PullPhysicalPlan) PlanNode(io.confluent.ksql.planner.plan.PlanNode) QueryRegistry(io.confluent.ksql.query.QueryRegistry) Collections(java.util.Collections) CreateTableCommand(io.confluent.ksql.execution.ddl.commands.CreateTableCommand) Select(io.confluent.ksql.parser.tree.Select) PushQueryPreparer(io.confluent.ksql.physical.scalablepush.PushQueryPreparer) Table(io.confluent.ksql.parser.tree.Table) CreateTable(io.confluent.ksql.parser.tree.CreateTable) KsqlTable(io.confluent.ksql.metastore.model.KsqlTable) Query(io.confluent.ksql.parser.tree.Query) MetaStoreImpl(io.confluent.ksql.metastore.MetaStoreImpl) CreateTable(io.confluent.ksql.parser.tree.CreateTable) SingleColumn(io.confluent.ksql.parser.tree.SingleColumn) Formats(io.confluent.ksql.execution.plan.Formats) UnqualifiedColumnReferenceExp(io.confluent.ksql.execution.expression.tree.UnqualifiedColumnReferenceExp) CreateTableCommand(io.confluent.ksql.execution.ddl.commands.CreateTableCommand) Relation(io.confluent.ksql.parser.tree.Relation) AliasedRelation(io.confluent.ksql.parser.tree.AliasedRelation) KsqlBareOutputNode(io.confluent.ksql.planner.plan.KsqlBareOutputNode) RefinementInfo(io.confluent.ksql.serde.RefinementInfo) CreateTableAsSelect(io.confluent.ksql.parser.tree.CreateTableAsSelect) CreateStreamAsSelect(io.confluent.ksql.parser.tree.CreateStreamAsSelect) CreateAsSelect(io.confluent.ksql.parser.tree.CreateAsSelect) Select(io.confluent.ksql.parser.tree.Select) MutableMetaStore(io.confluent.ksql.metastore.MutableMetaStore) ExecutableDdlStatement(io.confluent.ksql.parser.tree.ExecutableDdlStatement) InternalFunctionRegistry(io.confluent.ksql.function.InternalFunctionRegistry) AliasedRelation(io.confluent.ksql.parser.tree.AliasedRelation) KsqlTopic(io.confluent.ksql.execution.ddl.commands.KsqlTopic) SuppressFBWarnings(edu.umd.cs.findbugs.annotations.SuppressFBWarnings)

Example 2 with Formats

use of io.confluent.ksql.execution.plan.Formats in project ksql by confluentinc.

the class CreateSourceFactory method buildFormats.

private Formats buildFormats(final SourceName name, final LogicalSchema schema, final CreateSourceProperties props, final KsqlConfig ksqlConfig) {
    final FormatInfo keyFormat = SourcePropertiesUtil.getKeyFormat(props, name);
    final FormatInfo valueFormat = SourcePropertiesUtil.getValueFormat(props);
    final SerdeFeatures keyFeatures = keySerdeFeaturesSupplier.build(schema, FormatFactory.of(keyFormat), SerdeFeatures.of(), ksqlConfig);
    final SerdeFeatures valFeatures = valueSerdeFeaturesSupplier.build(schema, FormatFactory.of(valueFormat), props.getValueSerdeFeatures(), ksqlConfig);
    final Formats formats = Formats.of(keyFormat, valueFormat, keyFeatures, valFeatures);
    validateSerdesCanHandleSchemas(ksqlConfig, schema, formats);
    return formats;
}
Also used : Formats(io.confluent.ksql.execution.plan.Formats) FormatInfo(io.confluent.ksql.serde.FormatInfo) SerdeFeatures(io.confluent.ksql.serde.SerdeFeatures)

Example 3 with Formats

use of io.confluent.ksql.execution.plan.Formats in project ksql by confluentinc.

the class TableGroupByBuilderBase method build.

public <K> KGroupedTableHolder build(final KTableHolder<K> table, final QueryContext queryContext, final Formats formats, final List<Expression> groupByExpressions) {
    final LogicalSchema sourceSchema = table.getSchema();
    final List<CompiledExpression> groupBy = CodeGenRunner.compileExpressions(groupByExpressions.stream(), "Group By", sourceSchema, buildContext.getKsqlConfig(), buildContext.getFunctionRegistry());
    final ProcessingLogger logger = buildContext.getProcessingLogger(queryContext);
    final GroupByParams params = paramsFactory.build(sourceSchema, groupBy, logger);
    final PhysicalSchema physicalSchema = PhysicalSchema.from(params.getSchema(), formats.getKeyFeatures(), formats.getValueFeatures());
    final Serde<GenericKey> keySerde = buildContext.buildKeySerde(formats.getKeyFormat(), physicalSchema, queryContext);
    final Serde<GenericRow> valSerde = buildContext.buildValueSerde(formats.getValueFormat(), physicalSchema, queryContext);
    final Grouped<GenericKey, GenericRow> grouped = groupedFactory.create(StreamsUtil.buildOpName(queryContext), keySerde, valSerde);
    final KGroupedTable<GenericKey, GenericRow> groupedTable = table.getTable().filter((k, v) -> v != null).groupBy(new TableKeyValueMapper<>(params.getMapper()), grouped);
    return KGroupedTableHolder.of(groupedTable, params.getSchema());
}
Also used : PhysicalSchema(io.confluent.ksql.schema.ksql.PhysicalSchema) KeyValueMapper(org.apache.kafka.streams.kstream.KeyValueMapper) RuntimeBuildContext(io.confluent.ksql.execution.runtime.RuntimeBuildContext) Expression(io.confluent.ksql.execution.expression.tree.Expression) QueryContext(io.confluent.ksql.execution.context.QueryContext) KeyValue(org.apache.kafka.streams.KeyValue) CompiledExpression(io.confluent.ksql.execution.codegen.CompiledExpression) Formats(io.confluent.ksql.execution.plan.Formats) LogicalSchema(io.confluent.ksql.schema.ksql.LogicalSchema) Function(java.util.function.Function) CodeGenRunner(io.confluent.ksql.execution.codegen.CodeGenRunner) Grouped(org.apache.kafka.streams.kstream.Grouped) KGroupedTableHolder(io.confluent.ksql.execution.plan.KGroupedTableHolder) KTableHolder(io.confluent.ksql.execution.plan.KTableHolder) List(java.util.List) KGroupedTable(org.apache.kafka.streams.kstream.KGroupedTable) GenericRow(io.confluent.ksql.GenericRow) Serde(org.apache.kafka.common.serialization.Serde) Objects.requireNonNull(java.util.Objects.requireNonNull) ProcessingLogger(io.confluent.ksql.logging.processing.ProcessingLogger) GenericKey(io.confluent.ksql.GenericKey) ProcessingLogger(io.confluent.ksql.logging.processing.ProcessingLogger) LogicalSchema(io.confluent.ksql.schema.ksql.LogicalSchema) CompiledExpression(io.confluent.ksql.execution.codegen.CompiledExpression) GenericRow(io.confluent.ksql.GenericRow) PhysicalSchema(io.confluent.ksql.schema.ksql.PhysicalSchema) GenericKey(io.confluent.ksql.GenericKey)

Example 4 with Formats

use of io.confluent.ksql.execution.plan.Formats 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);
}
Also used : TableSelect(io.confluent.ksql.execution.plan.TableSelect) PhysicalSchema(io.confluent.ksql.schema.ksql.PhysicalSchema) KTable(org.apache.kafka.streams.kstream.KTable) RuntimeBuildContext(io.confluent.ksql.execution.runtime.RuntimeBuildContext) KsqlTransformer(io.confluent.ksql.execution.transform.KsqlTransformer) QueryContext(io.confluent.ksql.execution.context.QueryContext) MaterializationInfo(io.confluent.ksql.execution.materialization.MaterializationInfo) Formats(io.confluent.ksql.execution.plan.Formats) LogicalSchema(io.confluent.ksql.schema.ksql.LogicalSchema) Bytes(org.apache.kafka.common.utils.Bytes) KTableHolder(io.confluent.ksql.execution.plan.KTableHolder) SelectValueMapper(io.confluent.ksql.execution.transform.select.SelectValueMapper) KsTransformer(io.confluent.ksql.execution.streams.transform.KsTransformer) GenericRow(io.confluent.ksql.GenericRow) Stacker(io.confluent.ksql.execution.context.QueryContext.Stacker) Serde(org.apache.kafka.common.serialization.Serde) Named(org.apache.kafka.streams.kstream.Named) KeyValueStore(org.apache.kafka.streams.state.KeyValueStore) ProcessingLogger(io.confluent.ksql.logging.processing.ProcessingLogger) Materialized(org.apache.kafka.streams.kstream.Materialized) Optional(java.util.Optional) Selection(io.confluent.ksql.execution.transform.select.Selection) ProcessingLogger(io.confluent.ksql.logging.processing.ProcessingLogger) Named(org.apache.kafka.streams.kstream.Named) Stacker(io.confluent.ksql.execution.context.QueryContext.Stacker) LogicalSchema(io.confluent.ksql.schema.ksql.LogicalSchema) KeyValueStore(org.apache.kafka.streams.state.KeyValueStore) QueryContext(io.confluent.ksql.execution.context.QueryContext) Formats(io.confluent.ksql.execution.plan.Formats) GenericRow(io.confluent.ksql.GenericRow) PhysicalSchema(io.confluent.ksql.schema.ksql.PhysicalSchema) KsqlTransformer(io.confluent.ksql.execution.transform.KsqlTransformer)

Example 5 with Formats

use of io.confluent.ksql.execution.plan.Formats in project ksql by confluentinc.

the class SchemaKStream method leftJoin.

public SchemaKStream<K> leftJoin(final SchemaKTable<K> schemaKTable, final ColumnName keyColName, final FormatInfo leftValueFormat, final Stacker contextStacker) {
    throwOnJoinKeyFormatsMismatch(schemaKTable);
    final Formats fmts = InternalFormats.of(keyFormat, leftValueFormat);
    final StreamTableJoin<K> step = ExecutionStepFactory.streamTableJoin(contextStacker, JoinType.LEFT, keyColName, fmts, sourceStep, schemaKTable.getSourceTableStep());
    return new SchemaKStream<>(step, resolveSchema(step, schemaKTable), keyFormat, ksqlConfig, functionRegistry);
}
Also used : Formats(io.confluent.ksql.execution.plan.Formats) InternalFormats(io.confluent.ksql.serde.InternalFormats)

Aggregations

Formats (io.confluent.ksql.execution.plan.Formats)12 LogicalSchema (io.confluent.ksql.schema.ksql.LogicalSchema)10 GenericRow (io.confluent.ksql.GenericRow)8 QueryContext (io.confluent.ksql.execution.context.QueryContext)7 PhysicalSchema (io.confluent.ksql.schema.ksql.PhysicalSchema)7 ProcessingLogger (io.confluent.ksql.logging.processing.ProcessingLogger)5 RuntimeBuildContext (io.confluent.ksql.execution.runtime.RuntimeBuildContext)4 Serde (org.apache.kafka.common.serialization.Serde)4 GenericKey (io.confluent.ksql.GenericKey)3 CodeGenRunner (io.confluent.ksql.execution.codegen.CodeGenRunner)3 Expression (io.confluent.ksql.execution.expression.tree.Expression)3 Objects.requireNonNull (java.util.Objects.requireNonNull)3 Optional (java.util.Optional)3 CompiledExpression (io.confluent.ksql.execution.codegen.CompiledExpression)2 UnqualifiedColumnReferenceExp (io.confluent.ksql.execution.expression.tree.UnqualifiedColumnReferenceExp)2 KTableHolder (io.confluent.ksql.execution.plan.KTableHolder)2 KeyValue (org.apache.kafka.streams.KeyValue)2 Named (org.apache.kafka.streams.kstream.Named)2 Throwables (com.google.common.base.Throwables)1 ImmutableMap (com.google.common.collect.ImmutableMap)1