Comments (4)
protometa
commented on July 17, 2024
1
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
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PowerToThePeople111
commented on July 17, 2024
1
I got the same problem with this dynamodb exporter. This one works fine though and also seems to have been updated more recently.
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protometa
commented on July 17, 2024
Damn, I'm just now running into this. Did you find any solution?
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fzqneo
commented on July 17, 2024
I switched to something else and didn't continue with the issue. Please refer to the comments above for possible solution.
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Related Issues (20)
- Does this library support querying global secondary index of a dynamodb table? HOT 2
- Getting Null Values when using SparkSql HOT 1
- Not able to write to s3 HOT 2
- Using spark-dynamodb in unit tests HOT 4
- org.apache.spark.sql.AnalysisException: Table or view not found: HOT 3
- Issues with pyspark 2.2 (throttling and filtering) HOT 1
- Please publish the most recent commit so I can get it from Maven HOT 1
- Need recommendation
- Update Spark Version 2.2 HOT 6
- Does not work with EMR. HOT 2
- Can we update the items in dynamodb using this library HOT 2
- Error mapping a nested format HOT 2
- after importing the library and querying the table, i found the error com.amazonaws.services.dynamodbv2.model.ResourceNotFoundException
- The dataframe's columns was misplaced when there were more than 4 columns in the specified schema HOT 3
- filter_expression doesn't seem to parse correctly for UUID's or fields with colons HOT 1
- Working dependencies? HOT 1
- Does the library support writing to dynamoDB using the Query with SQL method?
- Can't write DataFrame result back to DynamoDB Table.
- Read from DynamoDB JSON with Spark in Scala
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