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Sun Rui commented on SPARK-9302: -------------------------------- This is fixed after supporting complex types in DataFrame was done. > Handle complex JSON types in collect()/head() > --------------------------------------------- > > Key: SPARK-9302 > URL: https://issues.apache.org/jira/browse/SPARK-9302 > Project: Spark > Issue Type: Improvement > Components: SparkR > Affects Versions: 1.4.0, 1.4.1 > Reporter: Sun Rui > > Reported in the mailing list by Exie <tfind...@prodevelop.com.au>: > {noformat} > A sample record in raw JSON looks like this: > {"version": 1,"event": "view","timestamp": 1427846422377,"system": > "DCDS","asset": "6404476","assetType": "myType","assetCategory": > "myCategory","extras": [{"name": "videoSource","value": "mySource"},{"name": > "playerType","value": "Article"},{"name": "duration","value": > "202088"}],"trackingId": "155629a0-d802-11e4-13ee-6884e43d6000","ipAddress": > "165.69.2.4","title": "myTitle"} > > head(mydf) > Error in as.data.frame.default(x[[i]], optional = TRUE) : > cannot coerce class ""jobj"" to a data.frame > > > > show(mydf) > DataFrame[localEventDtTm:timestamp, asset:string, assetCategory:string, > assetType:string, event:string, > extras:array<struct<name:string,value:string>>, ipAddress:string, > memberId:string, system:string, timestamp:bigint, title:string, > trackingId:string, version:bigint] > > > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org