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Posted to commits@doris.apache.org by GitBox <gi...@apache.org> on 2022/07/25 03:38:10 UTC

[GitHub] [doris] morningman commented on a diff in pull request #11156: [feature-wip](multi-catalog) support pruning buckets for hive bucket table

morningman commented on code in PR #11156:
URL: https://github.com/apache/doris/pull/11156#discussion_r928353577


##########
fe/fe-core/src/main/java/org/apache/doris/catalog/HiveBucketUtil.java:
##########
@@ -0,0 +1,394 @@
+// 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.doris.catalog;
+
+import org.apache.doris.analysis.BinaryPredicate;
+import org.apache.doris.analysis.CompoundPredicate;
+import org.apache.doris.analysis.Expr;
+import org.apache.doris.analysis.InPredicate;
+import org.apache.doris.analysis.LiteralExpr;
+import org.apache.doris.analysis.SlotRef;
+import org.apache.doris.common.DdlException;
+import org.apache.doris.thrift.TExprOpcode;
+
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableSet;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters.Converter;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.BooleanObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.ByteObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.LongObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.ShortObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.FileSplit;
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.hive.common.util.Murmur3;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+import java.nio.ByteBuffer;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.OptionalInt;
+import java.util.Set;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class HiveBucketUtil {
+    private static final Logger LOG = LogManager.getLogger(HiveBucketUtil.class);
+
+    private static final Set<PrimitiveType> SUPPORTED_TYPES_FOR_BUCKET_FILTER = ImmutableSet.of(
+            PrimitiveType.BOOLEAN,
+            PrimitiveType.TINYINT,
+            PrimitiveType.SMALLINT,
+            PrimitiveType.INT,
+            PrimitiveType.BIGINT,
+            PrimitiveType.STRING);
+
+    private static PrimitiveTypeInfo convertToHiveColType(PrimitiveType dorisType) throws DdlException {
+        switch (dorisType) {
+            case BOOLEAN:
+                return TypeInfoFactory.booleanTypeInfo;
+            case TINYINT:
+                return TypeInfoFactory.byteTypeInfo;
+            case SMALLINT:
+                return TypeInfoFactory.shortTypeInfo;
+            case INT:
+                return TypeInfoFactory.intTypeInfo;
+            case BIGINT:
+                return TypeInfoFactory.longTypeInfo;
+            case STRING:
+                return TypeInfoFactory.stringTypeInfo;
+            default:
+                throw new DdlException("Unsupported pruning bucket column type: " + dorisType);
+        }
+    }
+
+    private static final Pattern BUCKET_WITH_OPTIONAL_ATTEMPT_ID_PATTERN =
+            Pattern.compile("bucket_(\\d+)(_\\d+)?$");
+
+    private static final Iterable<Pattern> BUCKET_PATTERNS = ImmutableList.of(
+            // legacy Presto naming pattern (current version matches Hive)
+            Pattern.compile("\\d{8}_\\d{6}_\\d{5}_[a-z0-9]{5}_bucket-(\\d+)(?:[-_.].*)?"),
+            // Hive naming pattern per `org.apache.hadoop.hive.ql.exec.Utilities#getBucketIdFromFile()`
+            Pattern.compile("(\\d+)_\\d+.*"),
+            // Hive ACID with optional direct insert attempt id
+            BUCKET_WITH_OPTIONAL_ATTEMPT_ID_PATTERN);
+
+    public static List<InputSplit> getPrunedSplitsByBuckets(
+            String tableName, List<InputSplit> splits, Set<Integer> buckets, int numBuckets) {
+        if (buckets == null) {
+            return splits;
+        }
+        if (buckets.size() == 0) {
+            return Collections.emptyList();
+        }
+        List<InputSplit> result = new LinkedList<>();
+        boolean valid = true;
+        for (InputSplit split : splits) {
+            String fileName = ((FileSplit) split).getPath().getName();
+            OptionalInt bucket = getBucketNumberFromPath(fileName);
+            if (bucket.isPresent()) {
+                int bucketId = bucket.getAsInt();
+                if (bucketId >= numBuckets) {
+                    valid = false;
+                    LOG.warn("Hive table {} is corrupt for file {}(bucketId={}), skip bucket pruning.",
+                            tableName, fileName, bucketId);
+                    break;
+                }
+                if (buckets.contains(bucketId)) {
+                    result.add(split);
+                }
+            } else {
+                valid = false;
+                LOG.warn("File {} is not a bucket file in hive table {}, skip bucket pruning.", fileName, tableName);
+                break;
+            }
+        }
+        if (valid) {
+            LOG.info("{} / {} input splits in hive table {} after bucket pruning.",

Review Comment:
   debug



##########
fe/fe-core/src/main/java/org/apache/doris/planner/external/ExternalHiveScanProvider.java:
##########
@@ -109,12 +112,22 @@ public List<InputSplit> getSplits(List<Expr> exprs)
 
         Configuration configuration = setConfiguration();
         InputFormat<?, ?> inputFormat = HiveUtil.getInputFormat(configuration, inputFormatName, false);
+        List<InputSplit> result;
         if (!hivePartitions.isEmpty()) {
-            return hivePartitions.parallelStream()
+            result = hivePartitions.parallelStream()
                     .flatMap(x -> getSplitsByPath(inputFormat, configuration, x.getSd().getLocation()).stream())
                     .collect(Collectors.toList());
         } else {
-            return getSplitsByPath(inputFormat, configuration, splitsPath);
+            result = getSplitsByPath(inputFormat, configuration, splitsPath);
+        }
+        Optional<Set<Integer>> prunedBuckets = HiveBucketUtil.getPrunedBuckets(

Review Comment:
   Looks like we can merge `getPrunedBuckets` and `getPrunedSplitsByBuckets` into one method.
   To make it simpler to use?



##########
fe/fe-core/src/main/java/org/apache/doris/catalog/HiveBucketUtil.java:
##########
@@ -0,0 +1,394 @@
+// 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.doris.catalog;
+
+import org.apache.doris.analysis.BinaryPredicate;
+import org.apache.doris.analysis.CompoundPredicate;
+import org.apache.doris.analysis.Expr;
+import org.apache.doris.analysis.InPredicate;
+import org.apache.doris.analysis.LiteralExpr;
+import org.apache.doris.analysis.SlotRef;
+import org.apache.doris.common.DdlException;
+import org.apache.doris.thrift.TExprOpcode;
+
+import com.google.common.collect.ImmutableList;
+import com.google.common.collect.ImmutableSet;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorConverters.Converter;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.BooleanObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.ByteObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.LongObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.ShortObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.StringObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.FileSplit;
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.hive.common.util.Murmur3;
+import org.apache.logging.log4j.LogManager;
+import org.apache.logging.log4j.Logger;
+
+import java.nio.ByteBuffer;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.LinkedList;
+import java.util.List;
+import java.util.Map;
+import java.util.Optional;
+import java.util.OptionalInt;
+import java.util.Set;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class HiveBucketUtil {
+    private static final Logger LOG = LogManager.getLogger(HiveBucketUtil.class);
+
+    private static final Set<PrimitiveType> SUPPORTED_TYPES_FOR_BUCKET_FILTER = ImmutableSet.of(
+            PrimitiveType.BOOLEAN,
+            PrimitiveType.TINYINT,
+            PrimitiveType.SMALLINT,
+            PrimitiveType.INT,
+            PrimitiveType.BIGINT,
+            PrimitiveType.STRING);
+
+    private static PrimitiveTypeInfo convertToHiveColType(PrimitiveType dorisType) throws DdlException {
+        switch (dorisType) {
+            case BOOLEAN:
+                return TypeInfoFactory.booleanTypeInfo;
+            case TINYINT:
+                return TypeInfoFactory.byteTypeInfo;
+            case SMALLINT:
+                return TypeInfoFactory.shortTypeInfo;
+            case INT:
+                return TypeInfoFactory.intTypeInfo;
+            case BIGINT:
+                return TypeInfoFactory.longTypeInfo;
+            case STRING:
+                return TypeInfoFactory.stringTypeInfo;
+            default:
+                throw new DdlException("Unsupported pruning bucket column type: " + dorisType);
+        }
+    }
+
+    private static final Pattern BUCKET_WITH_OPTIONAL_ATTEMPT_ID_PATTERN =
+            Pattern.compile("bucket_(\\d+)(_\\d+)?$");
+
+    private static final Iterable<Pattern> BUCKET_PATTERNS = ImmutableList.of(
+            // legacy Presto naming pattern (current version matches Hive)
+            Pattern.compile("\\d{8}_\\d{6}_\\d{5}_[a-z0-9]{5}_bucket-(\\d+)(?:[-_.].*)?"),
+            // Hive naming pattern per `org.apache.hadoop.hive.ql.exec.Utilities#getBucketIdFromFile()`
+            Pattern.compile("(\\d+)_\\d+.*"),
+            // Hive ACID with optional direct insert attempt id
+            BUCKET_WITH_OPTIONAL_ATTEMPT_ID_PATTERN);
+
+    public static List<InputSplit> getPrunedSplitsByBuckets(
+            String tableName, List<InputSplit> splits, Set<Integer> buckets, int numBuckets) {
+        if (buckets == null) {
+            return splits;
+        }
+        if (buckets.size() == 0) {
+            return Collections.emptyList();
+        }
+        List<InputSplit> result = new LinkedList<>();
+        boolean valid = true;
+        for (InputSplit split : splits) {
+            String fileName = ((FileSplit) split).getPath().getName();
+            OptionalInt bucket = getBucketNumberFromPath(fileName);
+            if (bucket.isPresent()) {
+                int bucketId = bucket.getAsInt();
+                if (bucketId >= numBuckets) {
+                    valid = false;
+                    LOG.warn("Hive table {} is corrupt for file {}(bucketId={}), skip bucket pruning.",
+                            tableName, fileName, bucketId);
+                    break;
+                }
+                if (buckets.contains(bucketId)) {
+                    result.add(split);
+                }
+            } else {
+                valid = false;
+                LOG.warn("File {} is not a bucket file in hive table {}, skip bucket pruning.", fileName, tableName);

Review Comment:
   use debug



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