[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user asfgit closed the pull request at: https://github.com/apache/nifi/pull/477 --- 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 infrastruct...@apache.org or file a JIRA ticket with INFRA. ---
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68074816
--- 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 =
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
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 =
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68074457
--- 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 =
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68073833
--- 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)) {
--- End diff --
We are comparing fieldType to the different enum values. Can we switch this
to be a case/switch statement? I think that would be cleaner.
---
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---
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68073525
--- 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) {
--- End diff --
The first several field types here check if o == null, and if so set
isNull[rowNumber] = true. The others don't check if o == null and just perform
(o instanceof) checks, which would throw a NullPointer. Should we move the `o
== null` check to the beginning so that we always check it and so that the code
is cleaner?
---
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with INFRA.
---
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user mattyb149 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68073235
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user mattyb149 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68072879
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user mattyb149 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68072906
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68072854
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68072328
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68071005
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
[GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/477#discussion_r68070933
--- Diff:
nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/ConvertAvroToORC.java
---
@@ -0,0 +1,303 @@
+/*
+ * 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.processors.hive;
+
+import org.apache.avro.Schema;
+import org.apache.avro.file.DataFileStream;
+import org.apache.avro.generic.GenericDatumReader;
+import org.apache.avro.generic.GenericRecord;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.SideEffectFree;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.annotation.lifecycle.OnScheduled;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.flowfile.attributes.CoreAttributes;
+import org.apache.nifi.processor.AbstractProcessor;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.apache.nifi.processor.io.StreamCallback;
+import org.apache.nifi.processor.util.StandardValidators;
+import org.apache.nifi.util.hive.HiveJdbcCommon;
+import org.apache.nifi.util.orc.OrcFlowFileWriter;
+import org.apache.nifi.util.orc.OrcUtils;
+import org.apache.orc.CompressionKind;
+import org.apache.orc.OrcFile;
+import org.apache.orc.TypeDescription;
+
+import java.io.BufferedInputStream;
+import java.io.BufferedOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.concurrent.atomic.AtomicReference;
+
+/**
+ * The ConvertAvroToORC processor takes an Avro-formatted flow file as
input and converts it into ORC format.
+ */
+@SideEffectFree
+@SupportsBatching
+@Tags({"avro", "orc", "hive", "convert"})
+@InputRequirement(InputRequirement.Requirement.INPUT_REQUIRED)
+@CapabilityDescription("Converts an Avro record into ORC file format. This
processor provides a direct mapping of an Avro record to an ORC record, such "
++ "that the resulting ORC file will have the same hierarchical
structure as the Avro document. If an incoming FlowFile contains a stream of "
++ "multiple Avro records, the resultant FlowFile will contain a
ORC file containing all of the Avro records. If an incoming FlowFile does "
++ "not contain any records, an empty ORC file is the output.")
+@WritesAttributes({
+@WritesAttribute(attribute = "mime.type", description = "Sets the
mime type to application/octet-stream"),
+@WritesAttribute(attribute = "filename", description = "Sets the
filename to the existing filename with the extension replaced by / added to by
.orc"),
+@WritesAttribute(attribute = "record.count", description = "Sets
the number of records in the ORC file."),
+@WritesAttribute(attribute = "hive.ddl", description = "Creates a
partial Hive DDL statement for creating a table in Hive from this ORC file. "
++ "This can be used in ReplaceText for setting the content
to the
