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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Work logged] (HIVE-12971) Hive Support for Kudu
Date Tue, 23 Jul 2019 06:57:10 GMT

     [ https://issues.apache.org/jira/browse/HIVE-12971?focusedWorklogId=280841&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-280841
]

ASF GitHub Bot logged work on HIVE-12971:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/Jul/19 06:56
            Start Date: 23/Jul/19 06:56
    Worklog Time Spent: 10m 
      Work Description: jcamachor commented on pull request #733: HIVE-12971: Add Support
for Kudu Tables
URL: https://github.com/apache/hive/pull/733#discussion_r306145974
 
 

 ##########
 File path: kudu-handler/src/java/org/apache/hadoop/hive/kudu/KuduPredicateHandler.java
 ##########
 @@ -0,0 +1,175 @@
+/*
+ * 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.hadoop.hive.kudu;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.Timestamp;
+import org.apache.hadoop.hive.ql.exec.SerializationUtilities;
+import org.apache.hadoop.hive.ql.index.IndexPredicateAnalyzer;
+import org.apache.hadoop.hive.ql.index.IndexSearchCondition;
+import org.apache.hadoop.hive.ql.metadata.HiveStoragePredicateHandler.DecomposedPredicate;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.plan.TableScanDesc;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPAnd;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqual;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrGreaterThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrLessThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPGreaterThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPLessThan;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNotNull;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNull;
+import org.apache.kudu.ColumnSchema;
+import org.apache.kudu.Schema;
+import org.apache.kudu.client.KuduPredicate;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Contains static methods for decomposing predicate/filter expressions and
+ * getting the equivalent Kudu predicates.
+ */
+public final class KuduPredicateHandler {
+  static final Logger LOG = LoggerFactory.getLogger(KuduPredicateHandler.class);
+
+  private KuduPredicateHandler() {}
+
+  /**
+   * Analyzes the predicates and return the portion of it which
+   * cannot be evaluated by Kudu during table access.
+   *
+   * @param predicateExpr predicate to be decomposed
+   * @param schema the schema of the Kudu table
+   * @return decomposed form of predicate, or null if no pushdown is possible at all
+   */
+  public static DecomposedPredicate decompose(ExprNodeDesc predicateExpr, Schema schema)
{
+    IndexPredicateAnalyzer analyzer = newAnalyzer(schema);
+    List<IndexSearchCondition> sConditions = new ArrayList<>();
+    ExprNodeDesc residualPredicate = analyzer.analyzePredicate(predicateExpr, sConditions);
+
+    // Nothing to decompose.
+    if (sConditions.size() == 0) {
+      return null;
+    }
+
+    DecomposedPredicate decomposedPredicate = new DecomposedPredicate();
+    decomposedPredicate.pushedPredicate = analyzer.translateSearchConditions(sConditions);
+    decomposedPredicate.residualPredicate = (ExprNodeGenericFuncDesc) residualPredicate;
+    return decomposedPredicate;
+  }
+
+  /**
+   * Returns the list of Kudu predicates from the passed configuration.
+   *
+   * @param conf the execution configuration
+   * @param schema the schema of the Kudu table
+   * @return the list of Kudu predicates
+   */
+  public static List<KuduPredicate> getPredicates(Configuration conf, Schema schema)
{
+    List<KuduPredicate> predicates = new ArrayList<>();
+    for (IndexSearchCondition sc : getSearchConditions(conf, schema)) {
+      predicates.add(conditionToPredicate(sc, schema));
+    }
+    return predicates;
+  }
+
+  private static List<IndexSearchCondition> getSearchConditions(Configuration conf,
Schema schema) {
+    List<IndexSearchCondition> conditions = new ArrayList<>();
+    ExprNodeDesc filterExpr = getExpression(conf);
+    if (null == filterExpr) {
+      return conditions;
+    }
+    IndexPredicateAnalyzer analyzer = newAnalyzer(schema);
+    ExprNodeDesc residual = analyzer.analyzePredicate(filterExpr, conditions);
+
+    // There should be no residual since we already negotiated that earlier in
+    // decomposePredicate. However, with hive.optimize.index.filter
+    // OpProcFactory#pushFilterToStorageHandler pushes the original filter back down again.
+    // Since pushed-down filters are not omitted at the higher levels (and thus the
+    // contract of negotiation is ignored anyway), just ignore the residuals.
+    // Re-assess this when negotiation is honored and the duplicate evaluation is removed.
+    if (residual != null) {
+      LOG.debug("Ignoring residual predicate " + residual.getExprString());
+    }
+
+    return conditions;
+  }
+
+  private static ExprNodeDesc getExpression(Configuration conf) {
+    String filteredExprSerialized = conf.get(TableScanDesc.FILTER_EXPR_CONF_STR);
+    if (filteredExprSerialized == null) {
+      return null;
+    }
+    return SerializationUtilities.deserializeExpression(filteredExprSerialized);
+  }
+
+  private static KuduPredicate conditionToPredicate(IndexSearchCondition condition, Schema
schema) {
+    ColumnSchema column = schema.getColumn(condition.getColumnDesc().getColumn());
+    GenericUDF genericUDF = condition.getOriginalExpr().getGenericUDF();
+    Object value = condition.getConstantDesc().getValue();
+
+    // Convert special Hive types.
+    if (value instanceof HiveDecimal) {
+      value = ((HiveDecimal) value).bigDecimalValue();
+    } else if (value instanceof Timestamp) {
+      value = ((Timestamp) value).toSqlTimestamp();
 
 Review comment:
   I am not sure whether Kudu uses `local datetime` or `instant` for timestamp semantics (Hive
uses `local datetime` in timestamp and `instant` in timestamp with local time zone, see https://cwiki.apache.org/confluence/display/Hive/Different+TIMESTAMP+types).
   Note that this method just creates a `java.sql.Timestamp` with millis since epoch utc,
i.e., calling `toString` method may not get you the correct String representation depending
on the system timezone (you need to use a formatter).
   Hive tests are run in PST. To verify that filtering on those values is working properly,
insert timestamp values in `kudu_queries.q` that have less than 8 hours difference between
them (in current tests, one value is in `2011` and another one in `2012`, which would not
expose this issue even if it exists).
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 280841)
    Time Spent: 1h 40m  (was: 1.5h)

> Hive Support for Kudu
> ---------------------
>
>                 Key: HIVE-12971
>                 URL: https://issues.apache.org/jira/browse/HIVE-12971
>             Project: Hive
>          Issue Type: New Feature
>    Affects Versions: 2.0.0
>            Reporter: Lenni Kuff
>            Assignee: Grant Henke
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-12971.0.patch, HIVE-12971.1.patch, HIVE-12971.2.patch, HIVE-12971.3.patch
>
>          Time Spent: 1h 40m
>  Remaining Estimate: 0h
>
> JIRA for tracking work related to Hive/Kudu integration.
> It would be useful to allow Kudu data to be accessible via Hive. This would involve creating
a Kudu SerDe/StorageHandler and implementing support for QUERY and DML commands like SELECT,
INSERT, UPDATE, and DELETE. Kudu Input/OutputFormats classes already exist. The work can be
staged to support this functionality incrementally.



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