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[GitHub] [carbondata] jackylk opened a new pull request #3612: [WIP] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command
URL: https://github.com/apache/carbondata/pull/3612#discussion_r378968380

##########
File path: datamap/mv/core/src/main/scala/org/apache/carbondata/mv/extension/MVHelper.scala
##########
@@ -0,0 +1,487 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.carbondata.mv.extension
+
+import java.util
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
+import org.apache.spark.sql.{CarbonEnv, SparkSession}
+import org.apache.spark.sql.catalyst.{CarbonParserUtil, TableIdentifier}
+import org.apache.spark.sql.catalyst.catalog.CatalogTable
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference, Cast, Coalesce, Expression, Literal, ScalaUDF}
+import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, Average}
+import org.apache.spark.sql.catalyst.plans.logical.{Join, Limit, LogicalPlan}
+import org.apache.spark.sql.execution.command.{Field, PartitionerField, TableModel, TableNewProcessor}
+import org.apache.spark.sql.execution.command.table.{CarbonCreateTableCommand, CarbonDropTableCommand}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.types.{ArrayType, DateType, MapType, StructType}
+import org.apache.spark.util.{DataMapUtil, PartitionUtils}
+
+import org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.datamap.DataMapStoreManager
+import org.apache.carbondata.core.datastore.impl.FileFactory
+import org.apache.carbondata.core.metadata.datatype.DataTypes
+import org.apache.carbondata.core.metadata.schema.datamap.{DataMapClassProvider, DataMapProperty}
+import org.apache.carbondata.core.metadata.schema.table.{CarbonTable, DataMapSchema, RelationIdentifier}
+import org.apache.carbondata.core.statusmanager.SegmentStatusManager
+import org.apache.carbondata.datamap.DataMapManager
+import org.apache.carbondata.mv.plans.modular.{GroupBy, ModularPlan}
+import org.apache.carbondata.mv.plans.util.SQLBuilder
+import org.apache.carbondata.mv.rewrite.{SummaryDatasetCatalog, Utils}
+import org.apache.carbondata.mv.timeseries.{TimeSeriesFunction, TimeSeriesUtil}
+import org.apache.carbondata.spark.util.CommonUtil
+
+/**
+ * Utility for MV datamap operations.
+ */
+object MVHelper {
+
+ def createMVDataMap(
+ sparkSession: SparkSession,
+ dataMapSchema: DataMapSchema,
+ queryString: String,
+ ifNotExistsSet: Boolean = false): Unit = {
+ val dmProperties = dataMapSchema.getProperties.asScala
+ if (dmProperties.contains("streaming") && dmProperties("streaming").equalsIgnoreCase("true")) {
+ throw new MalformedCarbonCommandException(
+ s"Materialized view does not support streaming"
+ )
+ }
+ val mvUtil = new MVUtil
+ mvUtil.validateDMProperty(dmProperties)
+ val logicalPlan = Utils.dropDummyFunc(
+ MVParser.getMVPlan(queryString, sparkSession))
+ // if there is limit in MV ctas query string, throw exception, as its not a valid usecase
+ logicalPlan match {
+ case Limit(_, _) =>
+ throw new MalformedCarbonCommandException("Materialized view does not support the query " +
+ "with limit")
+ case _ =>
+ }
+ val selectTables = getTables(logicalPlan)
+ if (selectTables.isEmpty) {
+ throw new MalformedCarbonCommandException(
+ s"Non-Carbon table does not support creating MV datamap")
+ }
+ val modularPlan = validateMVQuery(sparkSession, logicalPlan)
+ val updatedQueryWithDb = modularPlan.asCompactSQL
+ val (timeSeriesColumn, granularity): (String, String) = validateMVTimeSeriesQuery(
+ logicalPlan,
+ dataMapSchema)
+ val fullRebuild = isFullReload(logicalPlan)
+ var counter = 0
+ // the ctas query can have duplicate columns, so we should take distinct and create fields,
+ // so that it won't fail during create mv table
+ val fields = logicalPlan.output.map { attr =>
+ if (attr.dataType.isInstanceOf[ArrayType] || attr.dataType.isInstanceOf[StructType] ||
+ attr.dataType.isInstanceOf[MapType]) {
+ throw new UnsupportedOperationException(
+ s"MV datamap is not supported for complex datatype columns and complex datatype return " +
+ s"types of function :" + attr.name)
+ }
+ val name = updateColumnName(attr, counter)
+ counter += 1
+ val rawSchema = '`' + name + '`' + ' ' + attr.dataType.typeName
+ if (attr.dataType.typeName.startsWith("decimal")) {
+ val (precision, scale) = CommonUtil.getScaleAndPrecision(attr.dataType.catalogString)
+ Field(column = name,
+ dataType = Some(attr.dataType.typeName),
+ name = Some(name),
+ children = None,
+ precision = precision,
+ scale = scale,
+ rawSchema = rawSchema)
+ } else {
+ Field(column = name,
+ dataType = Some(attr.dataType.typeName),
+ name = Some(name),
+ children = None,
+ rawSchema = rawSchema)
+ }
+ }.distinct
+
+ val tableProperties = mutable.Map[String, String]()
+ val parentTables = new util.ArrayList[String]()
+ val parentTablesList = new util.ArrayList[CarbonTable](selectTables.size)
+ selectTables.foreach { selectTable =>
+ val mainCarbonTable = try {
+ Some(CarbonEnv.getCarbonTable(selectTable.identifier.database,
+ selectTable.identifier.table)(sparkSession))
+ } catch {
+ // Exception handling if it's not a CarbonTable
+ case ex: Exception =>
+ throw new MalformedCarbonCommandException(
+ s"Non-Carbon table does not support creating MV datamap")
+ }
+ if (!mainCarbonTable.get.getTableInfo.isTransactionalTable) {
+ throw new MalformedCarbonCommandException("Unsupported operation on NonTransactional table")
+ }
+ if (mainCarbonTable.get.isChildTableForMV) {
+ throw new MalformedCarbonCommandException(
+ "Cannot create Datamap on child table " + mainCarbonTable.get.getTableUniqueName)
+ }
+ parentTables.add(mainCarbonTable.get.getTableName)
+ if (!mainCarbonTable.isEmpty && mainCarbonTable.get.isStreamingSink) {
+ throw new MalformedCarbonCommandException(
+ s"Streaming table does not support creating materialized view")
+ }
+ parentTablesList.add(mainCarbonTable.get)
+ }
+
+ // Check if load is in progress in any of the parent table mapped to the datamap
+ parentTablesList.asScala.foreach {
+ parentTable =>
+ if (SegmentStatusManager.isLoadInProgressInTable(parentTable)) {
+ throw new UnsupportedOperationException(
+ "Cannot create mv datamap table when insert is in progress on parent table: " +
+ parentTable.getTableName)
+ }
+ }
+
+ tableProperties.put(CarbonCommonConstants.DATAMAP_NAME, dataMapSchema.getDataMapName)
+ tableProperties.put(CarbonCommonConstants.PARENT_TABLES, parentTables.asScala.mkString(","))
+
+ val finalModularPlan = new SQLBuilder(modularPlan).SQLizer.execute(modularPlan)
+ val fieldRelationMap = mvUtil.getFieldsAndDataMapFieldsFromPlan(finalModularPlan,
+ getLogicalRelation(logicalPlan))
+ // If dataMap is mapped to single main table, then inherit table properties from main table,
+ // else, will use default table properties. If DMProperties contains table properties, then
+ // table properties of datamap table will be updated
+ if (parentTablesList.size() == 1) {
+ DataMapUtil
+ .inheritTablePropertiesFromMainTable(
+ parentTablesList.get(0),
+ fields,
+ fieldRelationMap,
+ tableProperties)
+ if (granularity != null) {
+ val timeSeriesDataType = parentTablesList
+ .get(0)
+ .getTableInfo
+ .getFactTable
+ .getListOfColumns
+ .asScala
+ .filter(columnSchema => columnSchema.getColumnName
+ .equalsIgnoreCase(timeSeriesColumn))
+ .head
+ .getDataType
+ if (timeSeriesDataType.equals(DataTypes.DATE) ||
+ timeSeriesDataType.equals(DataTypes.TIMESTAMP)) {
+ // if data type is of Date type, then check if given granularity is valid for date type
+ if (timeSeriesDataType.equals(DataTypes.DATE)) {
+ TimeSeriesUtil.validateTimeSeriesGranularityForDate(granularity)
+ }
+ } else {
+ throw new MalformedCarbonCommandException(
+ "TimeSeries Column must be of TimeStamp or Date type")
+ }
+ }
+ }
+ dmProperties.foreach(t => tableProperties.put(t._1, t._2))
+ val usePartitioning = dmProperties.getOrElse("partitioning", "true").toBoolean
+ var partitionerFields: Seq[PartitionerField] = Seq.empty
+ // Inherit partition from parent table if datamap is mapped to single parent table
+ if (parentTablesList.size() == 1) {
+ val partitionInfo = parentTablesList.get(0).getPartitionInfo
+ val parentPartitionColumns = if (!usePartitioning) {
+ Seq.empty
+ } else if (parentTablesList.get(0).isHivePartitionTable) {
+ partitionInfo.getColumnSchemaList.asScala.map(_.getColumnName)
+ } else {
+ Seq()
+ }
+ partitionerFields = PartitionUtils
+ .getPartitionerFields(parentPartitionColumns, fieldRelationMap)
+ }
+
+ var order = 0
+ val columnOrderMap = new java.util.HashMap[Integer, String]()
+ if (partitionerFields.nonEmpty) {
+ fields.foreach { field =>
+ columnOrderMap.put(order, field.column)
+ order += 1
+ }
+ }
+
+ // TODO Use a proper DB
+ val tableIdentifier =
+ TableIdentifier(dataMapSchema.getDataMapName + "_table",
+ selectTables.head.identifier.database)
+ // prepare table model of the collected tokens
+ val tableModel: TableModel = CarbonParserUtil.prepareTableModel(
+ ifNotExistPresent = ifNotExistsSet,
+ CarbonParserUtil.convertDbNameToLowerCase(tableIdentifier.database),
+ tableIdentifier.table.toLowerCase,
+ fields,
+ partitionerFields,
+ tableProperties,
+ None,
+ isAlterFlow = false,
+ None)
+
+ val tablePath = if (dmProperties.contains("path")) {
+ dmProperties("path")
+ } else {
+ CarbonEnv.getTablePath(tableModel.databaseNameOp, tableModel.tableName)(sparkSession)
+ }
+ CarbonCreateTableCommand(TableNewProcessor(tableModel),
+ tableModel.ifNotExistsSet, Some(tablePath), isVisible = false).run(sparkSession)
+
+ // Map list of main table columns mapped to datamap table and add to dataMapSchema
+ val mainTableToColumnsMap = new java.util.HashMap[String, util.Set[String]]()
+ val mainTableFieldIterator = fieldRelationMap.values.asJava.iterator()
+ while (mainTableFieldIterator.hasNext) {
+ val value = mainTableFieldIterator.next()
+ value.columnTableRelationList.foreach {
+ columnTableRelation =>
+ columnTableRelation.foreach {
+ mainTable =>
+ if (null == mainTableToColumnsMap.get(mainTable.parentTableName)) {
+ val columns = new util.HashSet[String]()
+ columns.add(mainTable.parentColumnName.toLowerCase())
+ mainTableToColumnsMap.put(mainTable.parentTableName, columns)
+ } else {
+ mainTableToColumnsMap.get(mainTable.parentTableName)
+ .add(mainTable.parentColumnName.toLowerCase())
+ }
+ }
+ }
+ }
+ dataMapSchema.setMainTableColumnList(mainTableToColumnsMap)
+ dataMapSchema.setColumnsOrderMap(columnOrderMap)
+ if (null != granularity && null != timeSeriesColumn) {
+ dataMapSchema.setCtasQuery(queryString)
+ dataMapSchema.setTimeSeries(true)
+ } else {
+ dataMapSchema.setCtasQuery(updatedQueryWithDb)
+ }
+ dataMapSchema
+ .setRelationIdentifier(new RelationIdentifier(tableIdentifier.database.get,
+ tableIdentifier.table,
+ CarbonEnv.getCarbonTable(tableIdentifier)(sparkSession).getTableId))
+
+ val parentIdents = selectTables.map { table =>
+ val relationIdentifier = new RelationIdentifier(table.database, table.identifier.table, "")
+ relationIdentifier.setTablePath(FileFactory.getUpdatedFilePath(table.location.toString))
+ relationIdentifier
+ }
+ dataMapSchema.getRelationIdentifier.setTablePath(tablePath)
+ dataMapSchema.setParentTables(new util.ArrayList[RelationIdentifier](parentIdents.asJava))
+ dataMapSchema.getProperties.put(DataMapProperty.FULL_REFRESH, fullRebuild.toString)
+ try {
+ DataMapStoreManager.getInstance().saveDataMapSchema(dataMapSchema)
+ } catch {
+ case ex: Exception =>
+ val dropTableCommand = CarbonDropTableCommand(true,
+ new Some[String](dataMapSchema.getRelationIdentifier.getDatabaseName),
+ dataMapSchema.getRelationIdentifier.getTableName,
+ true)
+ dropTableCommand.run(sparkSession)
+ throw ex
+ }
+ }
+
+ private def validateMVQuery(
+ sparkSession: SparkSession,
+ logicalPlan: LogicalPlan): ModularPlan = {
+ val dataMapProvider = DataMapManager.get().getDataMapProvider(null,
+ new DataMapSchema("", DataMapClassProvider.MV.getShortName), sparkSession)
+ var catalog = DataMapStoreManager.getInstance().getDataMapCatalog(dataMapProvider,
+ DataMapClassProvider.MV.getShortName).asInstanceOf[SummaryDatasetCatalog]
+ if (catalog == null) {
+ catalog = new SummaryDatasetCatalog(sparkSession)
+ }
+ val modularPlan =
+ catalog.mvSession.sessionState.modularizer.modularize(
+ catalog.mvSession.sessionState.optimizer.execute(logicalPlan)).next().semiHarmonized
+
+ // Only queries which can be select , predicate , join, group by and having queries.
+ if (!modularPlan.isSPJGH) {
+ throw new UnsupportedOperationException("MV is not supported for this query")
+ }
+ val isValid = modularPlan match {
+ case g: GroupBy =>
+ // Make sure all predicates are present in projections.
+ g.predicateList.forall{p =>
+ g.outputList.exists{
+ case a: Alias =>
+ a.semanticEquals(p) || a.child.semanticEquals(p)
+ case other => other.semanticEquals(p)
+ }
+ }
+ case _ => true
+ }
+ if (!isValid) {
+ throw new UnsupportedOperationException(
+ "Group by columns must be present in project columns")
+ }
+ if (catalog.isMVWithSameQueryPresent(logicalPlan)) {
+ throw new UnsupportedOperationException("MV with same query present")
+ }
+
+ var expressionValid = true
+ modularPlan.transformExpressions {
+ case coal@Coalesce(_) if coal.children.exists(
+ exp => exp.isInstanceOf[AggregateExpression]) =>
+ expressionValid = false
+ coal
+ }
+
+ if (!expressionValid) {
+ throw new UnsupportedOperationException("MV doesn't support Coalesce")
+ }
+ modularPlan
+ }
+
+ def getUpdatedName(name: String, counter: Int): String = {
+ var updatedName = name.replace("(", "_")
+ .replace(")", "")

Review comment:
i think better to replace with Constants defined in CarbonCommonConstants and define the static constants for others

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GitBox

[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

In reply to this post by GitBox

akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command
URL: https://github.com/apache/carbondata/pull/3612#discussion_r378968659

##########
File path: datamap/mv/core/src/main/scala/org/apache/carbondata/mv/extension/MVHelper.scala
##########
@@ -0,0 +1,487 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.carbondata.mv.extension
+
+import java.util
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
+import org.apache.spark.sql.{CarbonEnv, SparkSession}
+import org.apache.spark.sql.catalyst.{CarbonParserUtil, TableIdentifier}
+import org.apache.spark.sql.catalyst.catalog.CatalogTable
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, AttributeReference, Cast, Coalesce, Expression, Literal, ScalaUDF}
+import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, Average}
+import org.apache.spark.sql.catalyst.plans.logical.{Join, Limit, LogicalPlan}
+import org.apache.spark.sql.execution.command.{Field, PartitionerField, TableModel, TableNewProcessor}
+import org.apache.spark.sql.execution.command.table.{CarbonCreateTableCommand, CarbonDropTableCommand}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.types.{ArrayType, DateType, MapType, StructType}
+import org.apache.spark.util.{DataMapUtil, PartitionUtils}
+
+import org.apache.carbondata.common.exceptions.sql.MalformedCarbonCommandException
+import org.apache.carbondata.core.constants.CarbonCommonConstants
+import org.apache.carbondata.core.datamap.DataMapStoreManager
+import org.apache.carbondata.core.datastore.impl.FileFactory
+import org.apache.carbondata.core.metadata.datatype.DataTypes
+import org.apache.carbondata.core.metadata.schema.datamap.{DataMapClassProvider, DataMapProperty}
+import org.apache.carbondata.core.metadata.schema.table.{CarbonTable, DataMapSchema, RelationIdentifier}
+import org.apache.carbondata.core.statusmanager.SegmentStatusManager
+import org.apache.carbondata.datamap.DataMapManager
+import org.apache.carbondata.mv.plans.modular.{GroupBy, ModularPlan}
+import org.apache.carbondata.mv.plans.util.SQLBuilder
+import org.apache.carbondata.mv.rewrite.{SummaryDatasetCatalog, Utils}
+import org.apache.carbondata.mv.timeseries.{TimeSeriesFunction, TimeSeriesUtil}
+import org.apache.carbondata.spark.util.CommonUtil
+
+/**
+ * Utility for MV datamap operations.
+ */
+object MVHelper {
+
+ def createMVDataMap(
+ sparkSession: SparkSession,
+ dataMapSchema: DataMapSchema,
+ queryString: String,
+ ifNotExistsSet: Boolean = false): Unit = {
+ val dmProperties = dataMapSchema.getProperties.asScala
+ if (dmProperties.contains("streaming") && dmProperties("streaming").equalsIgnoreCase("true")) {
+ throw new MalformedCarbonCommandException(
+ s"Materialized view does not support streaming"
+ )
+ }
+ val mvUtil = new MVUtil
+ mvUtil.validateDMProperty(dmProperties)
+ val logicalPlan = Utils.dropDummyFunc(
+ MVParser.getMVPlan(queryString, sparkSession))
+ // if there is limit in MV ctas query string, throw exception, as its not a valid usecase
+ logicalPlan match {
+ case Limit(_, _) =>
+ throw new MalformedCarbonCommandException("Materialized view does not support the query " +
+ "with limit")
+ case _ =>
+ }
+ val selectTables = getTables(logicalPlan)
+ if (selectTables.isEmpty) {
+ throw new MalformedCarbonCommandException(
+ s"Non-Carbon table does not support creating MV datamap")
+ }
+ val modularPlan = validateMVQuery(sparkSession, logicalPlan)
+ val updatedQueryWithDb = modularPlan.asCompactSQL
+ val (timeSeriesColumn, granularity): (String, String) = validateMVTimeSeriesQuery(
+ logicalPlan,
+ dataMapSchema)
+ val fullRebuild = isFullReload(logicalPlan)
+ var counter = 0
+ // the ctas query can have duplicate columns, so we should take distinct and create fields,
+ // so that it won't fail during create mv table
+ val fields = logicalPlan.output.map { attr =>
+ if (attr.dataType.isInstanceOf[ArrayType] || attr.dataType.isInstanceOf[StructType] ||
+ attr.dataType.isInstanceOf[MapType]) {
+ throw new UnsupportedOperationException(
+ s"MV datamap is not supported for complex datatype columns and complex datatype return " +
+ s"types of function :" + attr.name)
+ }
+ val name = updateColumnName(attr, counter)
+ counter += 1
+ val rawSchema = '`' + name + '`' + ' ' + attr.dataType.typeName
+ if (attr.dataType.typeName.startsWith("decimal")) {
+ val (precision, scale) = CommonUtil.getScaleAndPrecision(attr.dataType.catalogString)
+ Field(column = name,
+ dataType = Some(attr.dataType.typeName),
+ name = Some(name),
+ children = None,
+ precision = precision,
+ scale = scale,
+ rawSchema = rawSchema)
+ } else {
+ Field(column = name,
+ dataType = Some(attr.dataType.typeName),
+ name = Some(name),
+ children = None,
+ rawSchema = rawSchema)
+ }
+ }.distinct
+
+ val tableProperties = mutable.Map[String, String]()
+ val parentTables = new util.ArrayList[String]()
+ val parentTablesList = new util.ArrayList[CarbonTable](selectTables.size)
+ selectTables.foreach { selectTable =>
+ val mainCarbonTable = try {
+ Some(CarbonEnv.getCarbonTable(selectTable.identifier.database,
+ selectTable.identifier.table)(sparkSession))
+ } catch {
+ // Exception handling if it's not a CarbonTable
+ case ex: Exception =>
+ throw new MalformedCarbonCommandException(
+ s"Non-Carbon table does not support creating MV datamap")
+ }
+ if (!mainCarbonTable.get.getTableInfo.isTransactionalTable) {
+ throw new MalformedCarbonCommandException("Unsupported operation on NonTransactional table")
+ }
+ if (mainCarbonTable.get.isChildTableForMV) {
+ throw new MalformedCarbonCommandException(
+ "Cannot create Datamap on child table " + mainCarbonTable.get.getTableUniqueName)
+ }
+ parentTables.add(mainCarbonTable.get.getTableName)
+ if (!mainCarbonTable.isEmpty && mainCarbonTable.get.isStreamingSink) {
+ throw new MalformedCarbonCommandException(
+ s"Streaming table does not support creating materialized view")
+ }
+ parentTablesList.add(mainCarbonTable.get)
+ }
+
+ // Check if load is in progress in any of the parent table mapped to the datamap
+ parentTablesList.asScala.foreach {
+ parentTable =>
+ if (SegmentStatusManager.isLoadInProgressInTable(parentTable)) {
+ throw new UnsupportedOperationException(
+ "Cannot create mv datamap table when insert is in progress on parent table: " +
+ parentTable.getTableName)
+ }
+ }
+
+ tableProperties.put(CarbonCommonConstants.DATAMAP_NAME, dataMapSchema.getDataMapName)
+ tableProperties.put(CarbonCommonConstants.PARENT_TABLES, parentTables.asScala.mkString(","))
+
+ val finalModularPlan = new SQLBuilder(modularPlan).SQLizer.execute(modularPlan)
+ val fieldRelationMap = mvUtil.getFieldsAndDataMapFieldsFromPlan(finalModularPlan,
+ getLogicalRelation(logicalPlan))
+ // If dataMap is mapped to single main table, then inherit table properties from main table,
+ // else, will use default table properties. If DMProperties contains table properties, then
+ // table properties of datamap table will be updated
+ if (parentTablesList.size() == 1) {
+ DataMapUtil
+ .inheritTablePropertiesFromMainTable(
+ parentTablesList.get(0),
+ fields,
+ fieldRelationMap,
+ tableProperties)
+ if (granularity != null) {
+ val timeSeriesDataType = parentTablesList
+ .get(0)
+ .getTableInfo
+ .getFactTable
+ .getListOfColumns
+ .asScala
+ .filter(columnSchema => columnSchema.getColumnName
+ .equalsIgnoreCase(timeSeriesColumn))
+ .head
+ .getDataType
+ if (timeSeriesDataType.equals(DataTypes.DATE) ||
+ timeSeriesDataType.equals(DataTypes.TIMESTAMP)) {
+ // if data type is of Date type, then check if given granularity is valid for date type
+ if (timeSeriesDataType.equals(DataTypes.DATE)) {
+ TimeSeriesUtil.validateTimeSeriesGranularityForDate(granularity)
+ }
+ } else {
+ throw new MalformedCarbonCommandException(
+ "TimeSeries Column must be of TimeStamp or Date type")
+ }
+ }
+ }
+ dmProperties.foreach(t => tableProperties.put(t._1, t._2))
+ val usePartitioning = dmProperties.getOrElse("partitioning", "true").toBoolean
+ var partitionerFields: Seq[PartitionerField] = Seq.empty
+ // Inherit partition from parent table if datamap is mapped to single parent table
+ if (parentTablesList.size() == 1) {
+ val partitionInfo = parentTablesList.get(0).getPartitionInfo
+ val parentPartitionColumns = if (!usePartitioning) {
+ Seq.empty
+ } else if (parentTablesList.get(0).isHivePartitionTable) {
+ partitionInfo.getColumnSchemaList.asScala.map(_.getColumnName)
+ } else {
+ Seq()
+ }
+ partitionerFields = PartitionUtils
+ .getPartitionerFields(parentPartitionColumns, fieldRelationMap)
+ }
+
+ var order = 0
+ val columnOrderMap = new java.util.HashMap[Integer, String]()
+ if (partitionerFields.nonEmpty) {
+ fields.foreach { field =>
+ columnOrderMap.put(order, field.column)
+ order += 1
+ }
+ }
+
+ // TODO Use a proper DB
+ val tableIdentifier =
+ TableIdentifier(dataMapSchema.getDataMapName + "_table",
+ selectTables.head.identifier.database)
+ // prepare table model of the collected tokens
+ val tableModel: TableModel = CarbonParserUtil.prepareTableModel(
+ ifNotExistPresent = ifNotExistsSet,
+ CarbonParserUtil.convertDbNameToLowerCase(tableIdentifier.database),
+ tableIdentifier.table.toLowerCase,
+ fields,
+ partitionerFields,
+ tableProperties,
+ None,
+ isAlterFlow = false,
+ None)
+
+ val tablePath = if (dmProperties.contains("path")) {
+ dmProperties("path")
+ } else {
+ CarbonEnv.getTablePath(tableModel.databaseNameOp, tableModel.tableName)(sparkSession)
+ }
+ CarbonCreateTableCommand(TableNewProcessor(tableModel),
+ tableModel.ifNotExistsSet, Some(tablePath), isVisible = false).run(sparkSession)
+
+ // Map list of main table columns mapped to datamap table and add to dataMapSchema
+ val mainTableToColumnsMap = new java.util.HashMap[String, util.Set[String]]()
+ val mainTableFieldIterator = fieldRelationMap.values.asJava.iterator()
+ while (mainTableFieldIterator.hasNext) {
+ val value = mainTableFieldIterator.next()
+ value.columnTableRelationList.foreach {
+ columnTableRelation =>
+ columnTableRelation.foreach {
+ mainTable =>
+ if (null == mainTableToColumnsMap.get(mainTable.parentTableName)) {
+ val columns = new util.HashSet[String]()
+ columns.add(mainTable.parentColumnName.toLowerCase())
+ mainTableToColumnsMap.put(mainTable.parentTableName, columns)
+ } else {
+ mainTableToColumnsMap.get(mainTable.parentTableName)
+ .add(mainTable.parentColumnName.toLowerCase())
+ }
+ }
+ }
+ }
+ dataMapSchema.setMainTableColumnList(mainTableToColumnsMap)
+ dataMapSchema.setColumnsOrderMap(columnOrderMap)
+ if (null != granularity && null != timeSeriesColumn) {
+ dataMapSchema.setCtasQuery(queryString)
+ dataMapSchema.setTimeSeries(true)
+ } else {
+ dataMapSchema.setCtasQuery(updatedQueryWithDb)
+ }
+ dataMapSchema
+ .setRelationIdentifier(new RelationIdentifier(tableIdentifier.database.get,
+ tableIdentifier.table,
+ CarbonEnv.getCarbonTable(tableIdentifier)(sparkSession).getTableId))
+
+ val parentIdents = selectTables.map { table =>
+ val relationIdentifier = new RelationIdentifier(table.database, table.identifier.table, "")
+ relationIdentifier.setTablePath(FileFactory.getUpdatedFilePath(table.location.toString))
+ relationIdentifier
+ }
+ dataMapSchema.getRelationIdentifier.setTablePath(tablePath)
+ dataMapSchema.setParentTables(new util.ArrayList[RelationIdentifier](parentIdents.asJava))
+ dataMapSchema.getProperties.put(DataMapProperty.FULL_REFRESH, fullRebuild.toString)
+ try {
+ DataMapStoreManager.getInstance().saveDataMapSchema(dataMapSchema)
+ } catch {
+ case ex: Exception =>
+ val dropTableCommand = CarbonDropTableCommand(true,
+ new Some[String](dataMapSchema.getRelationIdentifier.getDatabaseName),
+ dataMapSchema.getRelationIdentifier.getTableName,
+ true)
+ dropTableCommand.run(sparkSession)
+ throw ex
+ }
+ }
+
+ private def validateMVQuery(
+ sparkSession: SparkSession,
+ logicalPlan: LogicalPlan): ModularPlan = {
+ val dataMapProvider = DataMapManager.get().getDataMapProvider(null,
+ new DataMapSchema("", DataMapClassProvider.MV.getShortName), sparkSession)
+ var catalog = DataMapStoreManager.getInstance().getDataMapCatalog(dataMapProvider,
+ DataMapClassProvider.MV.getShortName).asInstanceOf[SummaryDatasetCatalog]
+ if (catalog == null) {
+ catalog = new SummaryDatasetCatalog(sparkSession)
+ }
+ val modularPlan =
+ catalog.mvSession.sessionState.modularizer.modularize(
+ catalog.mvSession.sessionState.optimizer.execute(logicalPlan)).next().semiHarmonized
+
+ // Only queries which can be select , predicate , join, group by and having queries.
+ if (!modularPlan.isSPJGH) {
+ throw new UnsupportedOperationException("MV is not supported for this query")
+ }
+ val isValid = modularPlan match {
+ case g: GroupBy =>
+ // Make sure all predicates are present in projections.
+ g.predicateList.forall{p =>
+ g.outputList.exists{
+ case a: Alias =>
+ a.semanticEquals(p) || a.child.semanticEquals(p)
+ case other => other.semanticEquals(p)
+ }
+ }
+ case _ => true
+ }
+ if (!isValid) {
+ throw new UnsupportedOperationException(
+ "Group by columns must be present in project columns")
+ }
+ if (catalog.isMVWithSameQueryPresent(logicalPlan)) {
+ throw new UnsupportedOperationException("MV with same query present")
+ }
+
+ var expressionValid = true
+ modularPlan.transformExpressions {
+ case coal@Coalesce(_) if coal.children.exists(
+ exp => exp.isInstanceOf[AggregateExpression]) =>
+ expressionValid = false
+ coal
+ }
+
+ if (!expressionValid) {
+ throw new UnsupportedOperationException("MV doesn't support Coalesce")
+ }
+ modularPlan
+ }
+
+ def getUpdatedName(name: String, counter: Int): String = {
+ var updatedName = name.replace("(", "_")
+ .replace(")", "")
+ .replace(" ", "_")
+ .replace("=", "")
+ .replace(",", "")
+ .replace(".", "_")
+ .replace("`", "")
+ if (updatedName.length >= CarbonCommonConstants.MAXIMUM_CHAR_LENGTH) {
+ updatedName = updatedName.substring(0, 110) + CarbonCommonConstants.UNDERSCORE + counter
+ }
+ updatedName
+ }
+
+ private def updateColumnName(attr: Attribute, counter: Int): String = {
+ val name = getUpdatedName(attr.name, counter)
+ val value = attr.qualifier.map(qualifier => qualifier + "_" + name)

Review comment:
use constants from CarbonCommonConstant

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] akashrn5 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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[GitHub] [carbondata] Indhumathi27 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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Indhumathi27 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command
URL: https://github.com/apache/carbondata/pull/3612#discussion_r379252982

##########
File path: datamap/mv/core/src/main/scala/org/apache/carbondata/mv/extension/command/ShowMaterializedViewCommand.scala
##########
@@ -0,0 +1,97 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.carbondata.mv.extension.command
+
+import java.util
+
+import scala.collection.JavaConverters._
+
+import org.apache.spark.sql.{CarbonEnv, Row, SparkSession}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference}
+import org.apache.spark.sql.execution.command.{Checker, DataCommand}
+import org.apache.spark.sql.types.{BooleanType, StringType}
+
+import org.apache.carbondata.core.datamap.DataMapStoreManager
+import org.apache.carbondata.core.metadata.schema.table.DataMapSchema
+import org.apache.carbondata.mv.extension.MVDataMapProvider
+
+/**
+ * Show Materialized View Command implementation
+ *
+ */
+case class ShowMaterializedViewCommand(tableIdentifier: Option[TableIdentifier])
+ extends DataCommand {
+
+ override def output: Seq[Attribute] = {
+ Seq(
+ AttributeReference("Name", StringType, nullable = false)(),
+ AttributeReference("Associated Table", StringType, nullable = false)(),
+ AttributeReference("Refresh", StringType, nullable = false)(),
+ AttributeReference("Incremental", BooleanType, nullable = false)(),
+ AttributeReference("Properties", StringType, nullable = false)(),
+ AttributeReference("Status", StringType, nullable = false)(),
+ AttributeReference("Sync Info", StringType, nullable = false)())
+ }
+
+ override def processData(sparkSession: SparkSession): Seq[Row] = {
+ convertToRow(getAllMVSchema(sparkSession))
+ }
+
+ /**
+ * get all datamaps for this table, including preagg, index datamaps and mv

Review comment:
please change the description only for mv

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[GitHub] [carbondata] Indhumathi27 commented on a change in pull request #3612: [CARBONDATA-3694] Separate Materialized View command from DataMap command

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