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Posted to issues@spark.apache.org by "Jianfei Wang (JIRA)" <ji...@apache.org> on 2016/10/17 03:20:58 UTC
[jira] [Created] (SPARK-17969) I think it's user unfriendly to
process standard json file with DataFrame
Jianfei Wang created SPARK-17969:
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Summary: I think it's user unfriendly to process standard json file with DataFrame
Key: SPARK-17969
URL: https://issues.apache.org/jira/browse/SPARK-17969
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.0.1
Reporter: Jianfei Wang
Priority: Minor
Currently, with DataFrame API, we can't load standard json file directly, maybe we can provide an override method to process this, the logic is as below:
```
val df = spark.sparkContext.wholeTextFiles("data/test.json")
val json_rdd = df.map( x => x.toString.replaceAll("\\s+","")).map{ x =>
val index = x.indexOf(',')
x.substring(index + 1, x.length - 1)
}
val json_df = spark.read.json(json_rdd)
```
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