Reader parses schema but returns no rows

[fzqneo]

The result of the first command suggests it connects to dynamodb and parses the schema. But there are no rows in the dataframe, while I'm sure the dynamodb table is not empty.

scala> val users = spark.sqlContext.read.dynamodb("ap-southeast-1", "user")
users: org.apache.spark.sql.DataFrame = [account_name: string, avatar: string ... 24 more fields]

scala> users.count()
res15: Long = 0

[protometa]

Damn, I'm just now running into this. Did you find any solution?

[protometa]

This seemed to be related to having a nested json format. If I used json that wasn't nested or left out the nested fields in my schema the records showed up. I was able to work around by reading as rdd and then reading the rdd with dataframe json reader as suggested in #46

[PowerToThePeople111]

I got the same problem with this dynamodb exporter. This one works fine though and also seems to have been updated more recently.

[fzqneo]

I switched to something else and didn't continue with the issue. Please refer to the comments above for possible solution.