Twitter 用于查看avro记录的配置单元表，该记录是使用flume流式传输的，获取的块大小对此实现无效或太大：-40

我正在创建hive serde外部表以查看使用flume进行流式处理的twitter记录

我的属性文件

# Naming the components on the current agent. 
TwitterAgent.sources = Twitter 
TwitterAgent.channels = MemChannel 
TwitterAgent.sinks = HDFS

# Describing/Configuring the source 
TwitterAgent.sources.Twitter.type = org.apache.flume.source.twitter.TwitterSource
TwitterAgent.sources.Twitter.consumerKey = xxx
TwitterAgent.sources.Twitter.consumerSecret = xxx
TwitterAgent.sources.Twitter.accessToken = xxx
TwitterAgent.sources.Twitter.accessTokenSecret = xxx
TwitterAgent.sources.Twitter.keywords = kafka

# Describing/Configuring the sink 

TwitterAgent.sinks.HDFS.type = hdfs 
TwitterAgent.sinks.HDFS.hdfs.path = hdfs://xxx:8000/topics/flumedata
TwitterAgent.sinks.HDFS.hdfs.fileType = DataStream 
TwitterAgent.sinks.HDFS.hdfs.writeFormat = Text 
TwitterAgent.sinks.HDFS.hdfs.batchSize = 10000
TwitterAgent.sinks.HDFS.hdfs.rollSize = 0 
TwitterAgent.sinks.HDFS.hdfs.rollCount = 100000 
TwitterAgent.sinks.hdfs.serializer=Text

# Describing/Configuring the channel
TwitterAgent.channels.MemChannel.type = memory 
TwitterAgent.channels.MemChannel.capacity = 100000 
TwitterAgent.channels.MemChannel.transactionCapacity = 1000
TwitterAgent.channels.MemChannel.byteCapacity = 6912212

# Binding the source and sink to the channel 
TwitterAgent.sources.Twitter.channels = MemChannel
TwitterAgent.sinks.HDFS.channel = MemChannel 

查询以创建配置单元外部表

CREATE EXTERNAL TABLE twitter_tweets
  COMMENT "just drop the schema right into the HQL"
  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.literal'='{
       "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" ]
  } ]
}');


LOAD DATA INPATH '/topics/flumedata/FlumeData.*' OVERWRITE INTO TABLE twitter_tweets;

创建表后，当我点击select*from twitter_tweets； 它没有给出任何数据，它通过了一个错误

org.apache.hive.service.cli.HiveSQLException: java.io.IOException: org.apache.avro.AvroRuntimeException: java.io.IOException: Block size invalid or too large for this implementation: -40

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我哪里出错了，我不知道为什么我会遇到这个区块大小的问题。谁能给我指点一下。

@Rakesh Gupta你有没有面对过上述问题？@Farrukhmuneer你能帮我一下吗