Pyspark HBase bulk load org.apache.hadoop.hbase.client.Put cannot be cast to org.apache.hadoop.hbase.Cell

I'm trying to make a bulk load to HBase from Pyspark using Hfiles like in this post: https://stackoverflow.com/a/35077987/10585126

My code:

conf = {"hbase.zookeeper.qourum": host,

        "zookeeper.znode.parent": "/hbase", 

        "hbase.mapred.outputtable": table,

        "mapreduce.outputformat.class": "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

        "mapreduce.job.output.key.class": "org.apache.hadoop.hbase.io.ImmutableBytesWritable",

        "mapreduce.job.output.value.class": "org.apache.hadoop.io.Writable"}



keyConv = "org.apache.spark.examples.pythonconverters.StringToImmutableBytesWritableConverter"

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



def csv_to_key_value(row):

    puids = row.split(",")

    result = 

    for (num, puid) in list(enumerate(puids))[1:]:

        if puid:

            val_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'value', str(puid)])

            result.append(val_tup)

            ids_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'id', str(num)])

            result.append(ids_tup)

    return result





data = sc.textFile(path_to_hdfs)

load_rdd = data.flatMap(lambda line: line.split("n")).flatMap(csv_to_key_value).sortByKey(True)

load_rdd.saveAsNewAPIHadoopFile(path + str(sc.startTime),

                                "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

                                conf=conf,

                                keyConverter=keyConv,

                                valueConverter=valueConv)

But can't overcome exeption of java.lang.ClassCastException: org.apache.hadoop.hbase.client.Put cannot be cast to org.apache.hadoop.hbase.Cell

Did anyone faced this problem?
I'm using pyspark 1.6.0 (CDH 5.9.0) with hbase-examples-1.2.0-cdh5.9.0.jar and spark-examples-1.6.0-cdh5.9.0-hadoop2.6.0-cdh5.9.0.jar

p.s. loading with Puts works well!

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

add a comment |

I'm trying to make a bulk load to HBase from Pyspark using Hfiles like in this post: https://stackoverflow.com/a/35077987/10585126

My code:

conf = {"hbase.zookeeper.qourum": host,

        "zookeeper.znode.parent": "/hbase", 

        "hbase.mapred.outputtable": table,

        "mapreduce.outputformat.class": "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

        "mapreduce.job.output.key.class": "org.apache.hadoop.hbase.io.ImmutableBytesWritable",

        "mapreduce.job.output.value.class": "org.apache.hadoop.io.Writable"}



keyConv = "org.apache.spark.examples.pythonconverters.StringToImmutableBytesWritableConverter"

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



def csv_to_key_value(row):

    puids = row.split(",")

    result = 

    for (num, puid) in list(enumerate(puids))[1:]:

        if puid:

            val_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'value', str(puid)])

            result.append(val_tup)

            ids_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'id', str(num)])

            result.append(ids_tup)

    return result





data = sc.textFile(path_to_hdfs)

load_rdd = data.flatMap(lambda line: line.split("n")).flatMap(csv_to_key_value).sortByKey(True)

load_rdd.saveAsNewAPIHadoopFile(path + str(sc.startTime),

                                "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

                                conf=conf,

                                keyConverter=keyConv,

                                valueConverter=valueConv)

But can't overcome exeption of java.lang.ClassCastException: org.apache.hadoop.hbase.client.Put cannot be cast to org.apache.hadoop.hbase.Cell

Did anyone faced this problem?
I'm using pyspark 1.6.0 (CDH 5.9.0) with hbase-examples-1.2.0-cdh5.9.0.jar and spark-examples-1.6.0-cdh5.9.0-hadoop2.6.0-cdh5.9.0.jar

p.s. loading with Puts works well!

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

add a comment |

I'm trying to make a bulk load to HBase from Pyspark using Hfiles like in this post: https://stackoverflow.com/a/35077987/10585126

My code:

conf = {"hbase.zookeeper.qourum": host,

        "zookeeper.znode.parent": "/hbase", 

        "hbase.mapred.outputtable": table,

        "mapreduce.outputformat.class": "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

        "mapreduce.job.output.key.class": "org.apache.hadoop.hbase.io.ImmutableBytesWritable",

        "mapreduce.job.output.value.class": "org.apache.hadoop.io.Writable"}



keyConv = "org.apache.spark.examples.pythonconverters.StringToImmutableBytesWritableConverter"

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



def csv_to_key_value(row):

    puids = row.split(",")

    result = 

    for (num, puid) in list(enumerate(puids))[1:]:

        if puid:

            val_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'value', str(puid)])

            result.append(val_tup)

            ids_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'id', str(num)])

            result.append(ids_tup)

    return result





data = sc.textFile(path_to_hdfs)

load_rdd = data.flatMap(lambda line: line.split("n")).flatMap(csv_to_key_value).sortByKey(True)

load_rdd.saveAsNewAPIHadoopFile(path + str(sc.startTime),

                                "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

                                conf=conf,

                                keyConverter=keyConv,

                                valueConverter=valueConv)

But can't overcome exeption of java.lang.ClassCastException: org.apache.hadoop.hbase.client.Put cannot be cast to org.apache.hadoop.hbase.Cell

Did anyone faced this problem?
I'm using pyspark 1.6.0 (CDH 5.9.0) with hbase-examples-1.2.0-cdh5.9.0.jar and spark-examples-1.6.0-cdh5.9.0-hadoop2.6.0-cdh5.9.0.jar

p.s. loading with Puts works well!

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

I'm trying to make a bulk load to HBase from Pyspark using Hfiles like in this post: https://stackoverflow.com/a/35077987/10585126

My code:

conf = {"hbase.zookeeper.qourum": host,

        "zookeeper.znode.parent": "/hbase", 

        "hbase.mapred.outputtable": table,

        "mapreduce.outputformat.class": "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

        "mapreduce.job.output.key.class": "org.apache.hadoop.hbase.io.ImmutableBytesWritable",

        "mapreduce.job.output.value.class": "org.apache.hadoop.io.Writable"}



keyConv = "org.apache.spark.examples.pythonconverters.StringToImmutableBytesWritableConverter"

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



def csv_to_key_value(row):

    puids = row.split(",")

    result = 

    for (num, puid) in list(enumerate(puids))[1:]:

        if puid:

            val_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'value', str(puid)])

            result.append(val_tup)

            ids_tup = (puids[0], [puids[0], "sg", 'seg'+str(num)+'id', str(num)])

            result.append(ids_tup)

    return result





data = sc.textFile(path_to_hdfs)

load_rdd = data.flatMap(lambda line: line.split("n")).flatMap(csv_to_key_value).sortByKey(True)

load_rdd.saveAsNewAPIHadoopFile(path + str(sc.startTime),

                                "org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2",

                                conf=conf,

                                keyConverter=keyConv,

                                valueConverter=valueConv)

But can't overcome exeption of java.lang.ClassCastException: org.apache.hadoop.hbase.client.Put cannot be cast to org.apache.hadoop.hbase.Cell

Did anyone faced this problem?
I'm using pyspark 1.6.0 (CDH 5.9.0) with hbase-examples-1.2.0-cdh5.9.0.jar and spark-examples-1.6.0-cdh5.9.0-hadoop2.6.0-cdh5.9.0.jar

p.s. loading with Puts works well!

apache-spark pyspark hbase

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

edited Nov 20 at 13:02

asked Nov 20 at 12:02

Nord1k

asked Nov 20 at 12:02

Nord1k

asked Nov 20 at 12:02

Nord1k

add a comment |

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