Error while querying Hive table ( Twitter data uploaded using Flume ) - json

Question

I am trying to analyse Twitter Data using Cloudera. Currently, I am able to stream Twitter Data into HDFS via Flume but I am experiencing issues when trying to query data using SQL from Hive table getting following exception:
java.io.IOException: org.apache.avro.AvroRuntimeException: java.io.IOException: Block size invalid or too large for this implementation: -40
Does this mean that the data was loaded into Hive but cannot be queried or was it not loaded into Hive at all?
My flume.conf file is
TwitterAgent.sources = Twitter
TwitterAgent.channels = FileChannel
TwitterAgent.sinks = HDFS
#TwitterAgent.sources.Twitter.type = com.cloudera.flume.source.TwitterSource
TwitterAgent.sources.Twitter.type = org.apache.flume.source.twitter.TwitterSource
TwitterAgent.sources.Twitter.channels = FileChannel
TwitterAgent.sources.Twitter.consumerKey = nmmRpbWjQPAViWlJLjkJuq7mO
TwitterAgent.sources.Twitter.consumerSecret = *****
TwitterAgent.sources.Twitter.accessToken = *****
TwitterAgent.sources.Twitter.accessTokenSecret = *****
TwitterAgent.sources.Twitter.maxBatchSize = 50000
TwitterAgent.sources.Twitter.maxBatchDurationMillis = 100
#TwitterAgent.sources.Twitter.keywords = Canada, TTC,ttc, Toronto, Free, and, Apache,city, City, Hadoop, Mapreduce, hadooptutorial, Hive, Hbase, MySql
TwitterAgent.sinks.HDFS.channel = FileChannel
TwitterAgent.sinks.HDFS.type = hdfs
TwitterAgent.sinks.HDFS.hdfs.path = hdfs://quickstart.cloudera:8020/user/hive/warehouse/tweets/
TwitterAgent.sinks.HDFS.hdfs.fileType = DataStream
TwitterAgent.sinks.HDFS.hdfs.writeFormat = Text
TwitterAgent.sinks.HDFS.hdfs.batchSize = 100
TwitterAgent.sinks.HDFS.hdfs.rollSize = 0
TwitterAgent.sinks.HDFS.hdfs.rollCount = 100
TwitterAgent.channels.FileChannel.type = file
TwitterAgent.channels.FileChannel.checkpointDir = /var/log/flume-ng/checkpoint/
TwitterAgent.channels.FileChannel.dataDirs = /var/log/flume-ng/data/
I have added added JAR file "hive-serdes-1.0-SNAPSHOT.jar"
ADD JAR /usr/lib/hive/lib/hive-serdes-1.0-SNAPSHOT.jar
my .avsc location is '/home/cloudera/twitterDataAvroSchema.avsc' and having bellow code-
{"type":"record",
"name":"Doc",
"doc":"adoc",
"fields":[{"name":"id","type":"string"},
{"name":"user_friends_count","type":["int","null"]},
{"name":"user_location","type":["string","null"]},
{"name":"user_description","type":["string","null"]},
{"name":"user_statuses_count","type":["int","null"]},
{"name":"user_followers_count","type":["int","null"]},
{"name":"user_name","type":["string","null"]},
{"name":"user_screen_name","type":["string","null"]},
{"name":"created_at","type":["string","null"]},
{"name":"text","type":["string","null"]},
{"name":"retweet_count","type":["long","null"]},
{"name":"retweeted","type":["boolean","null"]},
{"name":"in_reply_to_user_id","type":["long","null"]},
{"name":"source","type":["string","null"]},
{"name":"in_reply_to_status_id","type":["long","null"]},
{"name":"media_url_https","type":["string","null"]},
{"name":"expanded_url","type":["string","null"]}
]
}
Used commend bellow to create hive table
CREATE TABLE my_tweets
ROW FORMAT SERDE
'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
TBLPROPERTIES ('avro.schema.url'='file:///home/cloudera/twitterDataAvroSchema.avsc') ;
Used folloing command to upload data to Hive table
LOAD DATA INPATH '/user/hive/warehouse/tweets/FlumeData.*' OVERWRITE INTO TABLE my_tweets;
== output ===
Loading data to table robin.my_tweets
Table robin.my_tweets stats: [numFiles=1, numRows=0, totalSize=421380, rawDataSize=0]
OK
Time taken: 1.928 seconds
Got Error while Trying SQL from
ERROR
hive> select user_location from robin.my_tweets;
OK
Failed with exception java.io.IOException:org.apache.avro.AvroRuntimeException: java.io.IOException: Block size invalid or too large for this implementation: -40
Time taken: 1.247 seconds
I am using Cloureda
version=2.6.0-cdh5.5.0
Any assistance on this issue is appreciated.
Thanks
Robin