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https://issues.apache.org/jira/browse/NIFI-4963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16502324#comment-16502324
]
ASF GitHub Bot commented on NIFI-4963:
--------------------------------------
Github user mattyb149 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/2755#discussion_r193185676
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive3-processors/src/main/java/org/apache/hive/streaming/NiFiRecordSerDe.java
---
@@ -0,0 +1,247 @@
+/*
+ * 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.hive.streaming;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.hive.conf.HiveConf;
+import org.apache.hadoop.hive.serde.serdeConstants;
+import org.apache.hadoop.hive.serde2.AbstractSerDe;
+import org.apache.hadoop.hive.serde2.SerDeException;
+import org.apache.hadoop.hive.serde2.SerDeStats;
+import org.apache.hadoop.hive.serde2.SerDeUtils;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import
org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
+import
org.apache.hadoop.hive.serde2.objectinspector.StandardStructObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.ObjectWritable;
+import org.apache.hadoop.io.Writable;
+import org.apache.hive.common.util.HiveStringUtils;
+import org.apache.hive.common.util.TimestampParser;
+import org.apache.nifi.avro.AvroTypeUtil;
+import org.apache.nifi.logging.ComponentLog;
+import org.apache.nifi.serialization.RecordReader;
+import org.apache.nifi.serialization.record.Record;
+import org.apache.nifi.serialization.record.RecordField;
+import org.apache.nifi.serialization.record.RecordSchema;
+import org.apache.nifi.serialization.record.util.DataTypeUtils;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.List;
+import java.util.Properties;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+public class NiFiRecordSerDe extends AbstractSerDe {
+
+ protected RecordReader recordReader;
+ protected ComponentLog log;
+ protected List<String> columnNames;
+ protected StructTypeInfo schema;
+
+ protected StandardStructObjectInspector cachedObjectInspector;
+ protected TimestampParser tsParser;
+
+ private final static Pattern INTERNAL_PATTERN =
Pattern.compile("_col([0-9]+)");
+
+ public NiFiRecordSerDe(RecordReader recordReader, ComponentLog log) {
+ this.recordReader = recordReader;
+ this.log = log;
+ }
+
+ @Override
+ public void initialize(Configuration conf, Properties tbl) {
+ List<TypeInfo> columnTypes;
+ StructTypeInfo rowTypeInfo;
+
+ log.debug("Initializing NiFiRecordSerDe: {}",
tbl.entrySet().toArray());
+
+ // Get column names and types
+ String columnNameProperty =
tbl.getProperty(serdeConstants.LIST_COLUMNS);
+ String columnTypeProperty =
tbl.getProperty(serdeConstants.LIST_COLUMN_TYPES);
+ final String columnNameDelimiter =
tbl.containsKey(serdeConstants.COLUMN_NAME_DELIMITER) ? tbl
+ .getProperty(serdeConstants.COLUMN_NAME_DELIMITER) :
String.valueOf(SerDeUtils.COMMA);
+ // all table column names
+ if (columnNameProperty.isEmpty()) {
+ columnNames = new ArrayList<>(0);
+ } else {
+ columnNames = new
ArrayList<>(Arrays.asList(columnNameProperty.split(columnNameDelimiter)));
+ }
+
+ // all column types
+ if (columnTypeProperty.isEmpty()) {
+ columnTypes = new ArrayList<>(0);
+ } else {
+ columnTypes =
TypeInfoUtils.getTypeInfosFromTypeString(columnTypeProperty);
+ }
+
+ log.debug("columns: {}, {}", new Object[]{columnNameProperty,
columnNames});
+ log.debug("types: {}, {} ", new Object[]{columnTypeProperty,
columnTypes});
+
+ assert (columnNames.size() == columnTypes.size());
+
+ rowTypeInfo = (StructTypeInfo)
TypeInfoFactory.getStructTypeInfo(columnNames, columnTypes);
+ schema = rowTypeInfo;
+ log.debug("schema : {}", new Object[]{schema});
+ cachedObjectInspector = (StandardStructObjectInspector)
TypeInfoUtils.getStandardJavaObjectInspectorFromTypeInfo(rowTypeInfo);
+ tsParser = new
TimestampParser(HiveStringUtils.splitAndUnEscape(tbl.getProperty(serdeConstants.TIMESTAMP_FORMATS)));
+ }
+
+ @Override
+ public Class<? extends Writable> getSerializedClass() {
+ return null;
+ }
+
+ @Override
+ public Writable serialize(Object o, ObjectInspector objectInspector)
throws SerDeException {
+ return null;
+ }
+
+ @Override
+ public SerDeStats getSerDeStats() {
+ return null;
+ }
+
+ @Override
+ public Object deserialize(Writable writable) throws SerDeException {
+ ObjectWritable t = (ObjectWritable) writable;
+ Record record = (Record) t.get();
+ List<Object> r = new
ArrayList<>(Collections.nCopies(columnNames.size(), null));
+ try {
+ RecordSchema recordSchema = record.getSchema();
+ for (RecordField field : recordSchema.getFields()) {
+ String fieldName = field.getFieldName();
--- End diff --
True, I'm just saying in our Record API the partition columns will almost
always be in the record. The generic use case is to use the PartitionRecord
processor upstream, which is basically a GROUP BY, it takes one flow file in
and sends out one for each unique partition value, so all the records in a flow
file will have the same partition value (and it is added as metadata so you can
use it later). In PutHive3Streaming you can specify the partition value as the
value from the metadata, but the partition columns are still in the records.
> Add support for Hive 3.0 processors
> -----------------------------------
>
> Key: NIFI-4963
> URL: https://issues.apache.org/jira/browse/NIFI-4963
> Project: Apache NiFi
> Issue Type: New Feature
> Components: Extensions
> Reporter: Matt Burgess
> Assignee: Matt Burgess
> Priority: Major
>
> Apache Hive is working on Hive 3.0, this Jira is to add a bundle of
> components (much like the current Hive bundle) that supports Hive 3.0 (and
> Apache ORC if necessary).
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