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From Santlal J Gupta <>
Subject issue while reading parquet file in hive
Date Tue, 21 Jul 2015 06:54:08 GMT

I have following issue.

I have created parquet file through cascading parquet  and want to  load into the hive table.

My datafile contain data of type timestamp.

Cascading parquet does not  support  timestamp data type , so while creating parquet file
I have given as binary type. After generating parquet file , this  Parquet file is loaded
successfully in the hive .

While creating hive table I have given the column type as timestamp.

Code :

package com.parquet.TimestampTest;

import cascading.flow.FlowDef;

import cascading.flow.hadoop.HadoopFlowConnector;

import cascading.pipe.Pipe;

import cascading.scheme.Scheme;

import cascading.scheme.hadoop.TextDelimited;

import cascading.tap.SinkMode;

import cascading.tap.Tap;

import cascading.tap.hadoop.Hfs;

import cascading.tuple.Fields;

import parquet.cascading.ParquetTupleScheme;

public class GenrateTimeStampParquetFile {

                static String inputPath = "target/input/timestampInputFile1";

                static String outputPath = "target/parquetOutput/TimestampOutput";

                public static void main(String[] args) {



                private static void write() {

                                // TODO Auto-generated method stub

                                Fields field = new Fields("timestampField").applyTypes(String.class);

                                Scheme sourceSch = new TextDelimited(field, false, "\n");

                                Fields outputField = new Fields("timestampField");

                                Scheme sinkSch = new ParquetTupleScheme(field, outputField,

                                                                "message TimeStampTest{optional
binary timestampField ;}");

                                Tap source = new Hfs(sourceSch, inputPath);

                                Tap sink = new Hfs(sinkSch, outputPath, SinkMode.REPLACE);

                                Pipe pipe = new Pipe("Hive timestamp");

                                FlowDef fd = FlowDef.flowDef().addSource(pipe, source).addTailSink(pipe,

                                new HadoopFlowConnector().connect(fd).complete();



Input file:



1988-05-25 15:15:15.254

1987-05-06 14:14:25.362

After running the code following files are generated.

Output :

1. part-00000-m-00000.parquet


3. _metadata

4. _common_metadata

I have created the table in hive to load the  part-00000-m-00000.parquet file.

I have written following query in the hive.

Query :

hive> create table test3(timestampField timestamp) stored as parquet;

hive> load data local inpath  '/home/hduser/parquet_testing/part-00000-m-00000.parquet'
into table test3;

hive> select  * from test3;

After running above command I got following as output.

Output :


SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".

SLF4J: Defaulting to no-operation (NOP) logger implementation

SLF4J: See for further details.

Failed with exception
java.lang.ClassCastException: cannot be cast to

But I have got above exception.

So please help me to solve this problem.

Currently I am using

    Hive 1.1.0-cdh5.4.2.

   Cascading 2.5.1



Santlal J. Gupta

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