Thanks Muthu,
I am using the following jar files for now in local mode i.e.
spark-shell_local
--jars …..
json4s-jackson_2.10-3.2.10.jar
json4s_2.11-3.2.11.jar
json4s-native_2.10-3.4.0.jar
Which one is the incorrect one please/
Regards,
Mich
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On Mon, 17 Feb 2020 at 20:28, Muthu Jayakumar <bablo...@gmail.com> wrote:
> I suspect the spark job is somehow having an incorrect (newer) version of
> json4s in the classpath. json4s 3.5.3 is the utmost version that can be
> used.
>
> Thanks,
> Muthu
>
> On Mon, Feb 17, 2020, 06:43 Mich Talebzadeh <mich.talebza...@gmail.com>
> wrote:
>
>> Hi,
>>
>> Spark version 2.4.3
>> Hbase 1.2.7
>>
>> Data is stored in Hbase as Json. example of a row shown below
>> [image: image.png]
>> I am trying to read this table in Spark Scala
>>
>> import org.apache.spark.sql.{SQLContext, _}
>> import org.apache.spark.sql.execution.datasources.hbase._
>> import org.apache.spark.{SparkConf, SparkContext}
>> import spark.sqlContext.implicits._
>> import org.json4s._
>> import org.json4s.jackson.JsonMethods._
>> import org.json4s.jackson.Serialization.{read => JsonRead}
>> import org.json4s.jackson.Serialization.{read, write}
>> def catalog = s"""{
>> | "table":{"namespace":"trading", "name":"MARKETDATAHBASEBATCH",
>> | "rowkey":"key",
>> | "columns":{
>> | "rowkey":{"cf":"rowkey", "col":"key", "type":"string"},
>> | |"ticker":{"cf":"PRICE_INFO", "col":"ticker", "type":"string"},
>> | |"timeissued":{"cf":"PRICE_INFO", "col":"timeissued",
>> "type":"string"},
>> | |"price":{"cf":"PRICE_INFO", "col":"price", "type":"string"}
>> | |}
>> | |}""".stripMargin
>> def withCatalog(cat: String): DataFrame = {
>> spark.sqlContext
>> .read
>> .options(Map(HBaseTableCatalog.tableCatalog->cat))
>> .format("org.apache.spark.sql.execution.datasources.hbase")
>> .load()
>> }
>> val df = withCatalog(catalog)
>>
>>
>> However, I am getting this error
>>
>> Spark session available as 'spark'.
>> java.lang.NoSuchMethodError:
>> org.json4s.jackson.JsonMethods$.parse(Lorg/json4s/JsonInput;Z)Lorg/json4s/JsonAST$JValue;
>> at
>> org.apache.spark.sql.execution.datasources.hbase.HBaseTableCatalog$.apply(HBaseTableCatalog.scala:257)
>> at
>> org.apache.spark.sql.execution.datasources.hbase.HBaseRelation.<init>(HBaseRelation.scala:80)
>> at
>> org.apache.spark.sql.execution.datasources.hbase.DefaultSource.createRelation(HBaseRelation.scala:51)
>> at
>> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:318)
>> at
>> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:223)
>> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:211)
>> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167)
>> at withCatalog(testme.scala:49)
>> ... 65 elided
>>
>> I have Googled it but with little luck!
>>
>> Thanks,
>> Mich
>>
>> http://talebzadehmich.wordpress.com
>>
>>
>> *Disclaimer:* Use it at your own risk. Any and all responsibility for
>> any loss, damage or destruction of data or any other property which may
>> arise from relying on this email's technical content is explicitly
>> disclaimed. The author will in no case be liable for any monetary damages
>> arising from such loss, damage or destruction.
>>
>>
>>
>
