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From Meirav Malka <meirav.ma...@gmail.com>
Subject Re: Spark reading from Hbase throws java.lang.NoSuchMethodError: org.json4s.jackson.JsonMethods
Date Mon, 09 Mar 2020 16:08:35 GMT
Check for 2 instances of org.json4s.jackson.JsonMethods in your classpath

On Sun, Feb 23, 2020, 21:13 Mich Talebzadeh <mich.talebzadeh@gmail.com>
wrote:

> Hi,
>
> Does anyone has any more suggestion for the error I reported below please?
>
> Thanks,
>
> Mich
>
>
>
> *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.
>
>
>
>
> On Mon, 17 Feb 2020 at 22:27, Mich Talebzadeh <mich.talebzadeh@gmail.com>
> wrote:
>
> > I stripped everything from the jar list. This is all I have
> >
> > sspark-shell --jars shc-core-1.1.1-2.1-s_2.11.jar, \
> >               json4s-native_2.11-3.5.3.jar, \
> >               json4s-jackson_2.11-3.5.3.jar, \
> >               hbase-client-1.2.3.jar, \
> >               hbase-common-1.2.3.jar
> >
> > Now I still get the same error!
> >
> > scala> val df = withCatalog(catalog)
> > 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(<console>:54)
> >
> > Thanks
> >
> >
> > *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.
> >
> >
> >
> >
> > On Mon, 17 Feb 2020 at 21:37, Mich Talebzadeh <mich.talebzadeh@gmail.com
> >
> > wrote:
> >
> >>
> >> Dr Mich Talebzadeh
> >>
> >>
> >>
> >> LinkedIn *
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> >> <
> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
> >*
> >>
> >>
> >>
> >> 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.
> >>
> >>
> >> Many thanks both.
> >>
> >> Let me check and confirm.
> >>
> >> regards,
> >>
> >> Mich
> >>
> >>
> >> On Mon, 17 Feb 2020 at 21:33, Jörn Franke <jornfranke@gmail.com> wrote:
> >>
> >>> Is there a reason why different Scala (it seems at least 2.10/2.11)
> >>> versions are mixed? This never works.
> >>> Do you include by accident a dependency to with an old Scala version?
> Ie
> >>> the Hbase datasource maybe?
> >>>
> >>>
> >>> Am 17.02.2020 um 22:15 schrieb Mich Talebzadeh <
> >>> mich.talebzadeh@gmail.com>:
> >>>
> >>> 
> >>> 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
> >>>
> >>>
> >>>
> >>> *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.
> >>>
> >>>
> >>>
> >>>
> >>> On Mon, 17 Feb 2020 at 20:28, Muthu Jayakumar <babloo80@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.talebzadeh@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.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.
> >>>>>
> >>>>>
> >>>>>
> >>>>
>

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