我正在尝试通过pyspark从hbase读取和过滤数据。到目前为止，能够做扫描，范围扫描（使用开始和停止）。然而，对如何使用过滤器一无所知。e、 g.值过滤器、列预过滤器等。。
假设使用hbase.filter.filterbase.filterrowkey类
在谷歌搜索时，发现一些类似的问题之前被问到，但没有得到回答。spark：如何使用hbase过滤器例如pythonapi的qualifierfilter
注意：使用cloudera发行版，需要通过pyspark完成（听说可以通过scala/java轻松完成）
以下是code:-

host = "host@xyz.com"
keyConv = "org.apache.spark.examples.pythonconverters.ImmutableBytesWritableToStringConverter"

valueConv = "org.apache.spark.examples.pythonconverters.HBaseResultToStringConverter"

conf_read = {"hbase.master.kerberos.principal": "hbase/_HOST@xyz.com", \
        "hbase.rpc.protection":"privacy", \
        "hadoop.security.authentication": "kerberos", \
        "hadoop.rpc.protection": "privacy", \
        "hbase.regionserver.kerberos.principal": "hbase/_HOST@xyz.com" , \
        "hadoop.security.authentication": "kerberos", \
        "hbase.security.authentication": "kerberos", \
        "hbase.zookeeper.property.clientPort": "2181", \
        "zookeeper.znode.parent": "/hbase", \
        "hbase.zookeeper.quorum": host, \
        "hbase.mapreduce.inputtable": "namespace:tablename", \
        #"hbase.mapreduce.scan.row.start": "row2", \ --this works
        #"hbase.mapreduce.scan.row.stop": "row4", \ --this works 
        "hbase.filter.FilterBase.filterRowKey":"row3"} --this does not

testdata_rdd = spark.sparkContext.newAPIHadoopRDD(
        "org.apache.hadoop.hbase.mapreduce.TableInputFormat",
        "org.apache.hadoop.hbase.io.ImmutableBytesWritable",
        "org.apache.hadoop.hbase.client.Result",
        keyConverter=keyConv,
        valueConverter=valueConv,
        conf=conf_read)

output = testdata_rdd.collect()

print output