happybase

Cloudera/CDH v6.1.x + Python HappyBase v1.1.0: TTransportException(type=4, message='TSocket read 0 bytes')

由 烈酒焚心 提交于 2020-01-02 00:15:24
问题 EDIT: This question and answer applies to anyone who is experiencing the exception stated in the subject line: TTransportException(type=4, message='TSocket read 0 bytes') ; whether or not Cloudera and/or HappyBase is involved. The root issue (as it turned out) stems from mismatching protocol and/or transport formats on the client-side with what the server-side is implementing, and this can happen with any client/server paring. Mine just happened to be Cloudera and HappyBase, but yours needn't

python3.5 thrift cybin.ProtocolError: No protocol version header

由 狂风中的少年 提交于 2019-12-12 06:48:12
问题 Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/hskj/anaconda3/lib/python3.5/site-packages/happybase/connection.py", line 242, in tables names = self.client.getTableNames() File "/hskj/anaconda3/lib/python3.5/site-packages/thriftpy/thrift.py", line 198, in _req return self._recv(_api) File "/hskj/anaconda3/lib/python3.5/site-packages/thriftpy/thrift.py", line 210, in _recv fname, mtype, rseqid = self._iprot.read_message_begin() File "thriftpy/protocol/cybin/cybin

How to put values into hbase table through happybase?

由 旧巷老猫 提交于 2019-12-12 04:45:19
问题 My development environment is centos7, hbase 1.2.5, happybase 1.1.0, python 2.7, PyCharm, hadoop 2.7.3, spark 2.1 I am developing a big data software. I need put the values into HBase table. The values are from Spark RDD. The following are the codes: import happybase from pyspark import SparkContext, SparkConf connection = happybase.Connection('localhost') table = connection.table('tablename') conf = SparkConf().setAppName("myFirstSparkApp").setMaster("local") sc = SparkContext(conf=conf)

TSocket read 0 bytes - happybase version 0.8

由 核能气质少年 提交于 2019-12-12 01:15:30
问题 I'm trying to connect hbase by happybase framework version 0.8. I've started daemon thrift - /usr/hdp/current/hbase-master/bin/hbase-daemon.sh start thrift -p 9090 from happybase.connection import Connection DEFAULT_HOST = '10.128.121.13' DEFAULT_PORT = 9090 DEFAULT_TRANSPORT = 'framed' DEFAULT_COMPAT = '0.96'` cc = Connection(DEFAULT_HOST,DEFAULT_PORT,None,True,None,'_',DEFAULT_COMPAT,DEFAULT_TRANSPORT) print(cc.tables())` Do I need to start thrift service in all nodes, Hbase master and

Cloudera/CDH v6.1.x + Python HappyBase v1.1.0: TTransportException(type=4, message='TSocket read 0 bytes')

由 浪子不回头ぞ 提交于 2019-12-04 21:58:53
EDIT: This question and answer applies to anyone who is experiencing the exception stated in the subject line: TTransportException(type=4, message='TSocket read 0 bytes') ; whether or not Cloudera and/or HappyBase is involved. The root issue (as it turned out) stems from mismatching protocol and/or transport formats on the client-side with what the server-side is implementing, and this can happen with any client/server paring. Mine just happened to be Cloudera and HappyBase, but yours needn't be and you can run into this same issue. Has anyone recently tried using the happybase v1.1.0 (latest)

Spark can't pickle method_descriptor

由 可紊 提交于 2019-11-30 19:42:09
I get this weird error message 15/01/26 13:05:12 INFO spark.SparkContext: Created broadcast 0 from wholeTextFiles at NativeMethodAccessorImpl.java:-2 Traceback (most recent call last): File "/home/user/inverted-index.py", line 78, in <module> print sc.wholeTextFiles(data_dir).flatMap(update).top(10)#groupByKey().map(store) File "/home/user/spark2/python/pyspark/rdd.py", line 1045, in top return self.mapPartitions(topIterator).reduce(merge) File "/home/user/spark2/python/pyspark/rdd.py", line 715, in reduce vals = self.mapPartitions(func).collect() File "/home/user/spark2/python/pyspark/rdd.py"

Spark can't pickle method_descriptor

由 天大地大妈咪最大 提交于 2019-11-30 04:47:21
问题 I get this weird error message 15/01/26 13:05:12 INFO spark.SparkContext: Created broadcast 0 from wholeTextFiles at NativeMethodAccessorImpl.java:-2 Traceback (most recent call last): File "/home/user/inverted-index.py", line 78, in <module> print sc.wholeTextFiles(data_dir).flatMap(update).top(10)#groupByKey().map(store) File "/home/user/spark2/python/pyspark/rdd.py", line 1045, in top return self.mapPartitions(topIterator).reduce(merge) File "/home/user/spark2/python/pyspark/rdd.py", line
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