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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 06:57:11 GMT

     [ https://issues.apache.org/jira/browse/HIVE-12971?focusedWorklogId=280843&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-280843
]

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_r306148723
 
 

 ##########
 File path: kudu-handler/src/java/org/apache/hadoop/hive/kudu/KuduSerDe.java
 ##########
 @@ -0,0 +1,263 @@
+/*
+ * 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 java.math.BigDecimal;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Properties;
+
+import com.google.common.base.Preconditions;
+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.metastore.utils.StringUtils;
+import org.apache.hadoop.hive.serde2.AbstractSerDe;
+import org.apache.hadoop.hive.serde2.SerDeException;
+import org.apache.hadoop.hive.serde2.SerDeSpec;
+import org.apache.hadoop.hive.serde2.SerDeStats;
+import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
+import org.apache.hadoop.hive.serde2.io.TimestampWritableV2;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
+import org.apache.hadoop.hive.serde2.objectinspector.StructField;
+import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.BinaryObjectInspector;
+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.DoubleObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.FloatObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.primitive.HiveDecimalObjectInspector;
+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.objectinspector.primitive.TimestampObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
+import org.apache.hadoop.hive.serde2.io.ShortWritable;
+import org.apache.hadoop.io.BooleanWritable;
+import org.apache.hadoop.io.ByteWritable;
+import org.apache.hadoop.io.BytesWritable;
+import org.apache.hadoop.io.DoubleWritable;
+import org.apache.hadoop.io.FloatWritable;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.LongWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.io.Writable;
+import org.apache.kudu.ColumnSchema;
+import org.apache.kudu.Schema;
+import org.apache.kudu.Type;
+import org.apache.kudu.client.KuduClient;
+import org.apache.kudu.client.KuduException;
+import org.apache.kudu.client.PartialRow;
+
+import static org.apache.hadoop.hive.kudu.KuduHiveUtils.createOverlayedConf;
+import static org.apache.hadoop.hive.kudu.KuduHiveUtils.toHiveType;
+import static org.apache.hadoop.hive.kudu.KuduStorageHandler.KUDU_TABLE_NAME_KEY;
+
+/**
+ * A Kudu serializer and deserializer to support reading and writing Kudu data from Hive.
+ */
+@SerDeSpec(schemaProps = { KuduStorageHandler.KUDU_TABLE_NAME_KEY })
+public class KuduSerDe extends AbstractSerDe {
+
+  private ObjectInspector objectInspector;
+  private Schema schema;
+
+  @SuppressWarnings("unused")
+  public KuduSerDe() {}
+
+  @Override
+  public void initialize(Configuration sysConf, Properties tblProps)
+      throws SerDeException {
+    Configuration conf = createOverlayedConf(sysConf, tblProps);
+    String tableName = conf.get(KuduStorageHandler.KUDU_TABLE_NAME_KEY);
+    if (StringUtils.isEmpty(tableName)) {
+      throw new SerDeException(KUDU_TABLE_NAME_KEY + " is not set.");
+    }
+    try (KuduClient client = KuduHiveUtils.getKuduClient(conf)) {
+      if (!client.tableExists(tableName)) {
+        throw new SerDeException("Kudu table does not exist: " + tableName);
+      }
+      schema = client.openTable(tableName).getSchema();
+    } catch (KuduException|IllegalArgumentException ex) {
+      throw new SerDeException(ex);
+    }
+    this.objectInspector = createObjectInspector(schema);
+  }
+
+  private static ObjectInspector createObjectInspector(Schema schema) throws SerDeException
{
+    Preconditions.checkNotNull(schema);
+    List<String> fieldNames = new ArrayList<>();
+    List<ObjectInspector> fieldInspectors = new ArrayList<>();
+    List<String> fieldComments = new ArrayList<>();
+    for (int i = 0; i < schema.getColumnCount(); i++) {
+      ColumnSchema col = schema.getColumnByIndex(i);
+      PrimitiveTypeInfo typeInfo = toHiveType(col.getType(), col.getTypeAttributes());
+      fieldNames.add(col.getName());
+      fieldInspectors.add(
+          PrimitiveObjectInspectorFactory.getPrimitiveWritableObjectInspector(typeInfo));
+      fieldComments.add(col.getComment());
+    }
+    return ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldInspectors,
+        fieldComments);
+  }
+
+  public Schema getSchema() {
+    return schema;
+  }
+
+  @Override
+  public ObjectInspector getObjectInspector() {
+    return objectInspector;
+  }
+
+  @Override
+  public Class<? extends Writable> getSerializedClass() {
+    return KuduWritable.class;
+  }
+
+  /**
+   * Serialize an object by navigating inside the Object with the ObjectInspector.
+   */
+  @Override
+  public KuduWritable serialize(Object obj, ObjectInspector objectInspector) throws SerDeException
{
+    Preconditions.checkArgument(objectInspector.getCategory() == Category.STRUCT);
+
+    StructObjectInspector soi = (StructObjectInspector) objectInspector;
+    List<Object> writableObj = soi.getStructFieldsDataAsList(obj);
+    List<? extends StructField> fields = soi.getAllStructFieldRefs();
+
+    PartialRow row = schema.newPartialRow();
+    for (int i = 0; i < schema.getColumnCount(); i++) {
+      StructField field = fields.get(i);
+      Object value = writableObj.get(i);
+
+      if (value == null) {
+        row.setNull(i);
+      } else {
+        Type type = schema.getColumnByIndex(i).getType();
+        ObjectInspector inspector = field.getFieldObjectInspector();
+        switch (type) {
+        case BOOL:
+          boolean boolVal = ((BooleanObjectInspector) inspector).get(value);
+          row.addBoolean(i, boolVal);
+          break;
+        case INT8:
+          byte byteVal = ((ByteObjectInspector) inspector).get(value);
+          row.addByte(i, byteVal);
+          break;
+        case INT16:
+          short shortVal = ((ShortObjectInspector) inspector).get(value);
+          row.addShort(i, shortVal);
+          break;
+        case INT32:
+          int intVal = ((IntObjectInspector) inspector).get(value);
+          row.addInt(i, intVal);
+          break;
+        case INT64:
+          long longVal = ((LongObjectInspector) inspector).get(value);
+          row.addLong(i, longVal);
+          break;
+        case UNIXTIME_MICROS:
+          java.sql.Timestamp timestampVal = ((TimestampObjectInspector) inspector)
+              .getPrimitiveJavaObject(value).toSqlTimestamp();
+          row.addTimestamp(i, timestampVal);
+          break;
+        case DECIMAL:
+          HiveDecimal decimalVal = ((HiveDecimalObjectInspector) inspector)
+              .getPrimitiveJavaObject(value);
+          row.addDecimal(i, decimalVal.bigDecimalValue());
+          break;
+        case FLOAT:
+          float floatVal = ((FloatObjectInspector) inspector).get(value);
+          row.addFloat(i, floatVal);
+          break;
+        case DOUBLE:
+          double doubleVal = ((DoubleObjectInspector) inspector).get(value);
+          row.addDouble(i, doubleVal);
+          break;
+        case STRING:
+          String stringVal = ((StringObjectInspector) inspector).getPrimitiveJavaObject(value);
+          row.addString(i, stringVal);
+          break;
+        case BINARY:
+          byte[] bytesVal = ((BinaryObjectInspector) inspector).getPrimitiveJavaObject(value);
+          row.addBinary(i, bytesVal);
+          break;
+        default:
+          throw new SerDeException("Unsupported column type: " + type.name());
+        }
+      }
+    }
+    return new KuduWritable(row);
+  }
+
+  /**
+   * Deserialize an object out of a Writable blob.
+   */
+  @Override
+  public Object deserialize(Writable writable) throws SerDeException {
+    KuduWritable input = (KuduWritable) writable;
+    List<Object> output = new ArrayList<>();
+    for(int i  = 0; i < schema.getColumnCount(); i++) {
+      // If the column isn't set, skip it.
+      if (!input.isSet(i)) {
+        continue;
+      }
+      Object javaObj = input.getValueObject(i);
+      ColumnSchema col = schema.getColumnByIndex(i);
+      PrimitiveTypeInfo typeInfo = toHiveType(col.getType(), col.getTypeAttributes());
+      if (javaObj == null) {
+        output.add(null);
+      } else {
+        switch (typeInfo.getPrimitiveCategory()) {
+        case BOOLEAN: output.add(new BooleanWritable((boolean) javaObj)); break;
 
 Review comment:
   Style. Please, use multiple lines for case statement.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 280843)
    Time Spent: 2h  (was: 1h 50m)

> 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: 2h
>  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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