我有一个文件流,每个文件包含由key:value组成的行--例如,文件如下:
key1:value1
key2:value2
key3:value3
因此,我使用Spark来检测HDFS中文件的到达,我需要做的是将这些行的每个值放到HBase中( HBase的列由键组成),如果行的类型是"String“,将键和值分隔开来很容易,但是如果我应用了DStream.flatmap(_.split(":")),我就会得到单词,而我无法做到:
val separated = String.split(":")
val key = separated(0)
val
HBase Java client API连接Hbase,我知道如何解决这个问题:
java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries.
at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:382) ~[hadoop-common-2.7.7.jar:?]
但是我想知道,为什么HBase关心依赖于系统的二进制代码,为什么不用HBase代码直接连接,以及为什么没有官方文档提到这一点
我们尝试测试以下访问HBase表的示例代码(Spark-1.3.1、HBase-1.1.1、Hadoop-2.7.0):
import sys
from pyspark import SparkContext
if __name__ == "__main__":
if len(sys.argv) != 3:
print >> sys.stderr, """
Usage: hbase_inputformat <host> <table>
Run with ex
以下是输入"hbase shell“时的错误
*:\hbase-2.5.0\hbase-config.cmd"' is not recognized as an internal or external command, operable program or batch file. \Java\jdk1.8.0_261\lib\tools.jar was unexpected at this time.
当我输入"start-hbase.sh“时,又出现了另一个错误
The file does not have an app associated with i
我创建了一个HBase,它将默认版本提到为10
create 'tablename',{NAME => 'cf', VERSIONS => 10}
并插入两行(row1和row2)
put 'tablename','row1','cf:id','row1id'
put 'tablename','row1','cf:name','row1name'
put 'tablename','row2',
sentry-provider.ini
[groups]
# Assigns each Hadoop group to its set of roles
engineer = engineer_role
ops = ops_role
dev_ops = engineer_role, ops_role
hbase_admin = hbase_admin_role
[roles]
# The following grants all access to source_code.
# "collection = source_code" can also be used as sy