Thank you, all of you. explode() is helpful:
df.selectExpr("explode(bizs) as e").select("e.*").show()
2016-10-19
lk_spark
发件人：Hyukjin Kwon <gurwls...@gmail.com>
发送时间：2016-10-19 13:16
主题：Re: how to extract arraytype data to file
收件人："Divya Gehlot"<divya.htco...@gmail.com>
抄送："lk_spark"<lk_sp...@163.com>,"user.spark"<user@spark.apache.org>
This reminds me of
https://github.com/databricks/spark-xml/issues/141#issuecomment-234835577
Maybe using explode() would be helpful.
Thanks!
2016-10-19 14:05 GMT+09:00 Divya Gehlot <divya.htco...@gmail.com>:
http://stackoverflow.com/questions/33864389/how-can-i-create-a-spark-dataframe-from-a-nested-array-of-struct-element
Hope this helps
Thanks,
Divya
On 19 October 2016 at 11:35, lk_spark <lk_sp...@163.com> wrote:
hi，all:
I want to read a json file and search it by sql .
the data struct should be :
bid: string (nullable = true)
code: string (nullable = true)
and the json file data should be like :
{bid":"MzI4MTI5MzcyNw==","code":"罗甸网警"}
{"bid":"MzI3MzQ5Nzc2Nw==","code":"西早君"}
but in fact my json file data is :
{"bizs":[
{bid":"MzI4MTI5MzcyNw==","code":"罗甸网警"},{"bid":"MzI3MzQ5Nzc2Nw==","code":"西早君"}]}
{"bizs":[
{bid":"MzI4MTI5Mzcy00==","code":"罗甸网警"},{"bid":"MzI3MzQ5Nzc201==","code":"西早君"}]}
Ｉ load it by spark ,data schema shows like this :
root
|-- bizs: array (nullable = true)
| |-- element: struct (containsNull = true)
| | |-- bid: string (nullable = true)
| | |-- code: string (nullable = true)
I can select columns by : df.select("bizs.id","bizs.name")
but the colume values is in array type:
+--------------------+--------------------+
| id| code|
+--------------------+--------------------+
|[4938200, 4938201...|[罗甸网警, 室内设计师杨焰红, ...|
|[4938300, 4938301...|[SDCS十全九美, 旅梦长大, ...|
|[4938400, 4938401...|[日重重工液压行走回转, 氧老家,...|
|[4938500, 4938501...|[PABXSLZ, 陈少燕, 笑蜜...|
|[4938600, 4938601...|[税海微云, 西域美农云家店, 福...|
+--------------------+--------------------+
what I want is I can read colum in normal row type. how I can do it ?
2016-10-19
lk_spark
