shc-核心:NoSuchMethodError org.apache.hadoop.hbase.client.Put.addColumn

shc-core: NoSuchMethodError org.apache.hadoop.hbase.client.Put.addColumn

我尝试使用 shc-core 通过 spark 将 spark 数据帧保存到 hbase 中。 我的版本:

配置如下所示:

val schema_array = s"""{"type": "array", "items": ["string","null"]}""".stripMargin

def catalog: String = s"""{
               |"table":{"namespace":"default", "name":"tblename"},
               |"rowkey":"id",
               |"columns":{
               |"id":{"cf":"rowkey", "col":"id", "type":"string"},
               |"col1":{"cf":"data", "col":"col1", "avro":"schema_array"}
               |}
               |}""".stripMargin 

df
.write
.options(Map(
    "schema_array"-> schema_array,
    HBaseTableCatalog.tableCatalog -> catalog,
    HBaseTableCatalog.newTable -> "5"
))
.format("org.apache.spark.sql.execution.datasources.hbase")
.save()

有时它会按预期正常工作并创建 table 并将所有数据保存到 hbase 中。但有时会因以下错误而失败:

Lost task 35.0 in stage 9.0 (TID 301, host): java.lang.NoSuchMethodError: org.apache.hadoop.hbase.client.Put.addColumn([B[B[B)Lorg/apache/hadoop/hbase/client/Put;
    at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$org$apache$spark$sql$execution$datasources$hbase$HBaseRelation$$convertToPut.apply(HBaseRelation.scala:211)
    at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$org$apache$spark$sql$execution$datasources$hbase$HBaseRelation$$convertToPut.apply(HBaseRelation.scala:210)
    at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
    at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
    at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation.org$apache$spark$sql$execution$datasources$hbase$HBaseRelation$$convertToPut(HBaseRelation.scala:210)
    at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$insert.apply(HBaseRelation.scala:219)
    at org.apache.spark.sql.execution.datasources.hbase.HBaseRelation$$anonfun$insert.apply(HBaseRelation.scala:219)
    at scala.collection.Iterator$$anon.next(Iterator.scala:328)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$$anonfun$$anonfun$apply.apply$mcV$sp(PairRDDFunctions.scala:1112)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$$anonfun$$anonfun$apply.apply(PairRDDFunctions.scala:1111)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$$anonfun$$anonfun$apply.apply(PairRDDFunctions.scala:1111)
    at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1277)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$$anonfun.apply(PairRDDFunctions.scala:1119)
    at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$$anonfun.apply(PairRDDFunctions.scala:1091)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
    at org.apache.spark.scheduler.Task.run(Task.scala:89)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:247)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

有什么想法吗?

这实际上是一个 class 路径问题 - 我有两个不同版本的 hbase 客户端。