/* * 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.spark.sql.execution.datasources import org.apache.spark.sql.catalyst.InternalRow import org.apache.spark.sql.catalyst.expressions.codegen.GenerateOrdering import org.apache.spark.sql.execution.datasources.oap.io.ColumnStatistics import org.apache.spark.sql.execution.datasources.oap.utils.OapUtils import org.apache.spark.sql.sources._ import org.apache.spark.sql.types.{StructField, StructType} package object oap { type Key = InternalRow def order(sf: StructField): Ordering[Key] = GenerateOrdering.create(StructType(Array(sf))) // Return if the rowGroup or file can be skipped by min max statistics def isSkippedByStatistics( columnStats: Array[ColumnStatistics], filter: Filter, schema: StructType): Boolean = filter match { case Or(left, right) => isSkippedByStatistics(columnStats, left, schema) && isSkippedByStatistics(columnStats, right, schema) case And(left, right) => isSkippedByStatistics(columnStats, left, schema) || isSkippedByStatistics(columnStats, right, schema) case IsNotNull(attribute) => val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) !stat.hasNonNullValue case EqualTo(attribute, handle) => val key = OapUtils.keyFromAny(handle) val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) val comp = order(schema(idx)) (OapUtils.keyFromBytes(stat.min, schema(idx).dataType), OapUtils.keyFromBytes( stat.max, schema(idx).dataType)) match { case (Some(v1), Some(v2)) => comp.gt(v1, key) || comp.lt(v2, key) case _ => false } case LessThan(attribute, handle) => val key = OapUtils.keyFromAny(handle) val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) val comp = order(schema(idx)) OapUtils.keyFromBytes(stat.min, schema(idx).dataType) match { case Some(v) => comp.gteq(v, key) case None => false } case LessThanOrEqual(attribute, handle) => val key = OapUtils.keyFromAny(handle) val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) val comp = order(schema(idx)) OapUtils.keyFromBytes(stat.min, schema(idx).dataType) match { case Some(v) => comp.gt(v, key) case None => false } case GreaterThan(attribute, handle) => val key = OapUtils.keyFromAny(handle) val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) val comp = order(schema(idx)) OapUtils.keyFromBytes(stat.max, schema(idx).dataType) match { case Some(v) => comp.lteq(v, key) case None => false } case GreaterThanOrEqual(attribute, handle) => val key = OapUtils.keyFromAny(handle) val idx = schema.fieldIndex(attribute) val stat = columnStats(idx) val comp = order(schema(idx)) OapUtils.keyFromBytes(stat.max, schema(idx).dataType) match { case Some(v) => comp.lt(v, key) case None => false } case _ => false } } /** * To express OAP specific exceptions, including but not limited to indicate unsupported operations, * for example: BitMapIndexType only supports one single column */ class OapException(message: String, cause: Throwable) extends Exception(message, cause) { def this(message: String) = this(message, null) }