[SPARK-17410] [SPARK-17284] Move Hive-generated Stats Info to HiveClientImpl

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala

@@ -203,6 +203,8 @@ case class BucketSpec(
  *                           sensitive schema was unable to be read from the table properties.
  *                           Used to trigger case-sensitive schema inference at query time, when
  *                           configured.
+ * @param ignoredProperties is a list of table properties that are used by the underlying table
+ *                          but ignored by Spark SQL yet.
  */
 case class CatalogTable(
     identifier: TableIdentifier,
@@ -221,7 +223,8 @@ case class CatalogTable(
     comment: Option[String] = None,
     unsupportedFeatures: Seq[String] = Seq.empty,
     tracksPartitionsInCatalog: Boolean = false,
-    schemaPreservesCase: Boolean = true) {
+    schemaPreservesCase: Boolean = true,
+    ignoredProperties: Map[String, String] = Map.empty) {
 
   import CatalogTable._
 

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala

@@ -492,7 +492,8 @@ class TreeNodeSuite extends SparkFunSuite {
         "tracksPartitionsInCatalog" -> false,
         "properties" -> JNull,
         "unsupportedFeatures" -> List.empty[String],
-        "schemaPreservesCase" -> JBool(true)))
+        "schemaPreservesCase" -> JBool(true),
+        "ignoredProperties" -> JNull))
 
     // For unknown case class, returns JNull.
     val bigValue = new Array[Int](10000)

sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala

@@ -119,20 +119,7 @@ class DetermineTableStats(session: SparkSession) extends Rule[LogicalPlan] {
     case relation: CatalogRelation
         if DDLUtils.isHiveTable(relation.tableMeta) && relation.tableMeta.stats.isEmpty =>
       val table = relation.tableMeta
-      // TODO: check if this estimate is valid for tables after partition pruning.
-      // NOTE: getting `totalSize` directly from params is kind of hacky, but this should be
-      // relatively cheap if parameters for the table are populated into the metastore.
-      // Besides `totalSize`, there are also `numFiles`, `numRows`, `rawDataSize` keys
-      // (see StatsSetupConst in Hive) that we can look at in the future.
-      // When table is external,`totalSize` is always zero, which will influence join strategy
-      // so when `totalSize` is zero, use `rawDataSize` instead.
-      val totalSize = table.properties.get(StatsSetupConst.TOTAL_SIZE).map(_.toLong)
-      val rawDataSize = table.properties.get(StatsSetupConst.RAW_DATA_SIZE).map(_.toLong)
-      val sizeInBytes = if (totalSize.isDefined && totalSize.get > 0) {
-        totalSize.get
-      } else if (rawDataSize.isDefined && rawDataSize.get > 0) {
-        rawDataSize.get
-      } else if (session.sessionState.conf.fallBackToHdfsForStatsEnabled) {
+      val sizeInBytes = if (session.sessionState.conf.fallBackToHdfsForStatsEnabled) {
         try {
           val hadoopConf = session.sessionState.newHadoopConf()
           val tablePath = new Path(table.location)

sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala

@@ -25,6 +25,7 @@ import scala.collection.mutable.ArrayBuffer
 
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.Path
+import org.apache.hadoop.hive.common.StatsSetupConst
 import org.apache.hadoop.hive.conf.HiveConf
 import org.apache.hadoop.hive.metastore.{TableType => HiveTableType}
 import org.apache.hadoop.hive.metastore.api.{Database => HiveDatabase, FieldSchema, Order}
@@ -414,6 +415,50 @@ private[hive] class HiveClientImpl(
 
       val properties = Option(h.getParameters).map(_.asScala.toMap).orNull
 
+      // Hive-generated Statistics are also recorded in ignoredProperties
+      val ignoredProperties = scala.collection.mutable.Map.empty[String, String]
+      for (key <- HiveStatisticsProperties; value <- properties.get(key)) {
+        ignoredProperties += key -> value
+      }
+
+      val excludedTableProperties = HiveStatisticsProperties ++ Set(
+        // The property value of "comment" is moved to the dedicated field "comment"
+        "comment",
+        // For EXTERNAL_TABLE, the table properties has a particular field "EXTERNAL". This is added
+        // in the function toHiveTable.
+        "EXTERNAL"
+      )
+
+      val filteredProperties = properties.filterNot {
+        case (key, _) => excludedTableProperties.contains(key)
+      }
+      val comment = properties.get("comment")
+
+      val totalSize = properties.get(StatsSetupConst.TOTAL_SIZE).map(BigInt(_))
+      val rawDataSize = properties.get(StatsSetupConst.RAW_DATA_SIZE).map(BigInt(_))
+      def rowCount = properties.get(StatsSetupConst.ROW_COUNT).map(BigInt(_)) match {
+        case Some(c) if c >= 0 => Some(c)
+        case _ => None
+      }
+      // TODO: check if this estimate is valid for tables after partition pruning.
+      // NOTE: getting `totalSize` directly from params is kind of hacky, but this should be
+      // relatively cheap if parameters for the table are populated into the metastore.
+      // Currently, only totalSize, rawDataSize, and row_count are used to build the field `stats`
+      // TODO: stats should include all the other two fields (`numFiles` and `numPartitions`).
+      // (see StatsSetupConst in Hive)
+      val stats =
+      // When table is external, `totalSize` is always zero, which will influence join strategy
+      // so when `totalSize` is zero, use `rawDataSize` instead. When `rawDataSize` is also zero,
+      // return None. Later, we will use the other ways to estimate the statistics.
+      if (totalSize.isDefined && totalSize.get > 0L) {
+        Some(CatalogStatistics(sizeInBytes = totalSize.get, rowCount = rowCount))
+      } else if (rawDataSize.isDefined && rawDataSize.get > 0) {
+        Some(CatalogStatistics(sizeInBytes = rawDataSize.get, rowCount = rowCount))
+      } else {
+        // TODO: still fill the rowCount even if sizeInBytes is empty. Break some assumptions?
+        None
+      }
+
       CatalogTable(
         identifier = TableIdentifier(h.getTableName, Option(h.getDbName)),
         tableType = h.getTableType match {
@@ -451,13 +496,15 @@ private[hive] class HiveClientImpl(
         ),
         // For EXTERNAL_TABLE, the table properties has a particular field "EXTERNAL". This is added
         // in the function toHiveTable.
-        properties = properties.filter(kv => kv._1 != "comment" && kv._1 != "EXTERNAL"),
-        comment = properties.get("comment"),
+        properties = filteredProperties,
+        stats = stats,
+        comment = comment,
         // In older versions of Spark(before 2.2.0), we expand the view original text and store
         // that into `viewExpandedText`, and that should be used in view resolution. So we get
         // `viewExpandedText` instead of `viewOriginalText` for viewText here.
         viewText = Option(h.getViewExpandedText),
-        unsupportedFeatures = unsupportedFeatures)
+        unsupportedFeatures = unsupportedFeatures,
+        ignoredProperties = ignoredProperties.toMap)
     }
   }
 
@@ -474,7 +521,12 @@ private[hive] class HiveClientImpl(
   }
 
   override def alterTable(tableName: String, table: CatalogTable): Unit = withHiveState {
-    val hiveTable = toHiveTable(table, Some(userName))
+    // getTableOption removes all the Hive-specific properties. Here, we fill them back to ensure
+    // these properties are still available to the others that share the same Hive metastore.
+    // If users explicitly alter these Hive-specific properties through ALTER TABLE DDL, we respect
+    // these user-specified values.
+    val hiveTable = toHiveTable(
+      table.copy(properties = table.ignoredProperties ++ table.properties), Some(userName))
     // Do not use `table.qualifiedName` here because this may be a rename
     val qualifiedTableName = s"${table.database}.$tableName"
     shim.alterTable(client, qualifiedTableName, hiveTable)
@@ -956,4 +1008,14 @@ private[hive] object HiveClientImpl {
         parameters =
           if (hp.getParameters() != null) hp.getParameters().asScala.toMap else Map.empty)
   }
+
+  // Below is the key of table properties for storing Hive-generated statistics
+  private val HiveStatisticsProperties = Set(
+    StatsSetupConst.COLUMN_STATS_ACCURATE,
+    StatsSetupConst.NUM_FILES,
+    StatsSetupConst.NUM_PARTITIONS,
+    StatsSetupConst.ROW_COUNT,
+    StatsSetupConst.RAW_DATA_SIZE,
+    StatsSetupConst.TOTAL_SIZE
+  )
 }

sql/hive/src/test/scala/org/apache/spark/sql/hive/ShowCreateTableSuite.scala

@@ -325,26 +325,24 @@ class ShowCreateTableSuite extends QueryTest with SQLTestUtils with TestHiveSing
         "last_modified_by",
         "last_modified_time",
         "Owner:",
-        "COLUMN_STATS_ACCURATE",
         // The following are hive specific schema parameters which we do not need to match exactly.
-        "numFiles",
-        "numRows",
-        "rawDataSize",
-        "totalSize",
         "totalNumberFiles",
         "maxFileSize",
-        "minFileSize",
-        // EXTERNAL is not non-deterministic, but it is filtered out for external tables.
-        "EXTERNAL"
+        "minFileSize"
       )
 
       table.copy(
         createTime = 0L,
         lastAccessTime = 0L,
-        properties = table.properties.filterKeys(!nondeterministicProps.contains(_))
+        properties = table.properties.filterKeys(!nondeterministicProps.contains(_)),
+        stats = None,
+        ignoredProperties = Map.empty
       )
     }
 
+    val e = normalize(actual)
+    val m = normalize(expected)
+
     assert(normalize(actual) == normalize(expected))
   }
 }