Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68074551
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/util/orc/OrcUtils.java
---
@@ -0,0 +1,443 @@
+/*
+ * 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.nifi.util.orc;
+
+import org.apache.avro.Schema;
+import org.apache.commons.lang3.StringUtils;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.MapColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.UnionColumnVector;
+import org.apache.orc.TypeDescription;
+
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Utility methods for ORC support (conversion from Avro, conversion to
Hive types, e.g.
+ */
+public class OrcUtils {
+
+ public static void putToRowBatch(ColumnVector col, MutableInt
vectorOffset, int rowNumber, Schema fieldSchema, Object o) {
+ Schema.Type fieldType = fieldSchema.getType();
+
+ if (fieldType == null) {
+ throw new IllegalArgumentException("Field type is null");
+ }
+
+ if (Schema.Type.INT.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((LongColumnVector) col).vector[rowNumber] = (int) o;
+ }
+ } else if (Schema.Type.LONG.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((LongColumnVector) col).vector[rowNumber] = (long) o;
+ }
+ } else if (Schema.Type.BOOLEAN.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((LongColumnVector) col).vector[rowNumber] = ((boolean) o)
? 1 : 0;
+ }
+ } else if (Schema.Type.BYTES.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ByteBuffer byteBuffer = ((ByteBuffer) o);
+ int size = byteBuffer.remaining();
+ byte[] buf = new byte[size];
+ byteBuffer.get(buf, 0, size);
+ ((BytesColumnVector) col).setVal(rowNumber, buf);
+ }
+ } else if (Schema.Type.DOUBLE.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((DoubleColumnVector) col).vector[rowNumber] = (double) o;
+ }
+ } else if (Schema.Type.FLOAT.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((DoubleColumnVector) col).vector[rowNumber] = (float) o;
+ }
+ } else if (Schema.Type.STRING.equals(fieldType) ||
Schema.Type.ENUM.equals(fieldType)) {
+ if (o == null) {
+ col.isNull[rowNumber] = true;
+ } else {
+ ((BytesColumnVector) col).setVal(rowNumber,
o.toString().getBytes());
+ }
+ } else if (Schema.Type.UNION.equals(fieldType)) {
+ // If the union only has one non-null type in it, it was
flattened in the ORC schema
+ if (col instanceof UnionColumnVector) {
+ UnionColumnVector union = ((UnionColumnVector) col);
+ Schema.Type avroType =
OrcUtils.getAvroSchemaTypeOfObject(o);
+ // Find the index in the union with the matching Avro type
+ int unionIndex = -1;
+ List<Schema> types = fieldSchema.getTypes();
+ final int numFields = types.size();
+ for (int i = 0; i < numFields && unionIndex == -1; i++) {
+ if (avroType.equals(types.get(i).getType())) {
+ unionIndex = i;
+ }
+ }
+ if (unionIndex == -1) {
+ throw new IllegalArgumentException("Object type " +
avroType.getName() + " not found in union '" + fieldSchema.getName() + "'");
+ }
+
+ // Need nested vector offsets
+ MutableInt unionVectorOffset = new MutableInt(0);
+ putToRowBatch(union.fields[unionIndex], unionVectorOffset,
rowNumber, fieldSchema.getTypes().get(unionIndex), o);
+ } else {
+ // Find and use the non-null type from the union
+ List<Schema> types = fieldSchema.getTypes();
+ Schema effectiveType = null;
+ for (Schema type : types) {
+ if (!Schema.Type.NULL.equals(type.getType())) {
+ effectiveType = type;
+ break;
+ }
+ }
+ putToRowBatch(col, vectorOffset, rowNumber, effectiveType,
o);
+ }
+
+ } else if (Schema.Type.ARRAY.equals(fieldType)) {
+ Schema arrayType = fieldSchema.getElementType();
+ ListColumnVector array = ((ListColumnVector) col);
+ if (o instanceof int[]) {
+ int[] intArray = (int[]) o;
+ for (int i = 0; i < intArray.length; i++) {
+ ((LongColumnVector)
array.child).vector[vectorOffset.getValue() + i] = intArray[i];
+ }
+ array.offsets[rowNumber] = vectorOffset.longValue();
+ array.lengths[rowNumber] = intArray.length;
+ vectorOffset.add(intArray.length);
+ } else if (o instanceof long[]) {
+ long[] longArray = (long[]) o;
+ for (int i = 0; i < longArray.length; i++) {
+ ((LongColumnVector)
array.child).vector[vectorOffset.getValue() + i] = longArray[i];
+ }
+ array.offsets[rowNumber] = vectorOffset.longValue();
+ array.lengths[rowNumber] = longArray.length;
+ vectorOffset.add(longArray.length);
+ } else if (o instanceof float[]) {
--- End diff --
Same comment here as above with int[] / long[]
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
