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From markap14 <>
Subject [GitHub] nifi pull request #477: NIFI-1663: Add ConvertAvroToORC processor
Date Wed, 22 Jun 2016 15:08:55 GMT
Github user markap14 commented on a diff in the pull request:
    --- Diff: nifi-nar-bundles/nifi-hive-bundle/nifi-hive-processors/src/main/java/org/apache/nifi/processors/hive/
    @@ -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
    + *
    + *
    + *
    + * 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.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.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.
    + */
    +@Tags({"avro", "orc", "hive", "convert"})
    +@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.")
    +        @WritesAttribute(attribute = "mime.type", description = "Sets the mime type to
    +        @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 DDL.
To make it valid DDL, add \"LOCATION '<path_to_orc_file_in_hdfs>'\", where "
    +                + "the path is the directory that contains this ORC file on HDFS. For
example, ConvertAvroToORC can send flow files to a PutHDFS processor to send the file to "
    +                + "HDFS, then to a ReplaceText to set the content to this DDL (plus the
LOCATION clause as described), then to PutHiveQL processor to create the table "
    +                + "if it doesn't exist.")
    +public class ConvertAvroToORC extends AbstractProcessor {
    +    // Attributes
    +    public static final String ORC_MIME_TYPE = "application/octet-stream";
    +    public static final String HIVE_DDL_ATTRIBUTE = "hive.ddl";
    +    public static final String RECORD_COUNT_ATTRIBUTE = "record.count";
    +    // Properties
    +    public static final PropertyDescriptor ORC_CONFIGURATION_RESOURCES = new PropertyDescriptor.Builder()
    +            .name("orc-config-resources")
    +            .displayName("ORC Configuration Resources")
    +            .description("A file or comma separated list of files which contains the
ORC configuration (hive-site.xml, e.g.). Without this, Hadoop "
    +                    + "will search the classpath for a 'hive-site.xml' file or will revert
to a default configuration. Please see the ORC documentation for more details.")
    +            .required(false).addValidator(HiveJdbcCommon.createMultipleFilesExistValidator()).build();
    +    public static final PropertyDescriptor STRIPE_SIZE = new PropertyDescriptor.Builder()
    +            .name("orc-stripe-size")
    +            .displayName("Stripe Size")
    +            .description("The size of the memory buffer (in bytes) for writing stripes
to an ORC file")
    --- End diff --
    We should use a data size validator here instead and use a value of "100 KB" as a default.

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