Delete items from DynamoDB by type












0















I have a DynamoDB table with a TTL set on one of the attributes. However when I started ingesting data into the table I accidentally was entering the attribute as a string instead of an integer. This is ignored by the TTL and my records were never being deleted.



After a while I noticed my error and updated the code and the table ceased growing in size as records were being removed as designed. However I still have a few hundred thousand records in the table with the string TTL.



What is the best way for me to delete these records?










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    0















    I have a DynamoDB table with a TTL set on one of the attributes. However when I started ingesting data into the table I accidentally was entering the attribute as a string instead of an integer. This is ignored by the TTL and my records were never being deleted.



    After a while I noticed my error and updated the code and the table ceased growing in size as records were being removed as designed. However I still have a few hundred thousand records in the table with the string TTL.



    What is the best way for me to delete these records?










    share|improve this question

























      0












      0








      0








      I have a DynamoDB table with a TTL set on one of the attributes. However when I started ingesting data into the table I accidentally was entering the attribute as a string instead of an integer. This is ignored by the TTL and my records were never being deleted.



      After a while I noticed my error and updated the code and the table ceased growing in size as records were being removed as designed. However I still have a few hundred thousand records in the table with the string TTL.



      What is the best way for me to delete these records?










      share|improve this question














      I have a DynamoDB table with a TTL set on one of the attributes. However when I started ingesting data into the table I accidentally was entering the attribute as a string instead of an integer. This is ignored by the TTL and my records were never being deleted.



      After a while I noticed my error and updated the code and the table ceased growing in size as records were being removed as designed. However I still have a few hundred thousand records in the table with the string TTL.



      What is the best way for me to delete these records?







      amazon-dynamodb






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 19 '18 at 16:23









      Jacob TomlinsonJacob Tomlinson

      1,61921946




      1,61921946
























          1 Answer
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          I've written a script in python with boto3 which scans the whole table, gets the keys for items with string TTL attributes and deletes them. However deleting the ~500k items seems to be rather slow. So any other answers would be much appreciated.



          import boto3
          dynamodb = boto3.resource('dynamodb')

          table = dynamodb.Table('my-table')

          response = table.scan()
          data = response['Items']
          while 'LastEvaluatedKey' in response:
          response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
          data.extend(response['Items'])

          string_keys = [item['key'] for item in data if type(item['ttl']) == str]

          with table.batch_writer() as batch:
          for key in string_keys:
          batch.delete_item(
          Key={
          'key': key
          },
          )
          string_keys.remove(key)





          share|improve this answer





















          • 1





            This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

            – cementblocks
            Nov 19 '18 at 21:42











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          I've written a script in python with boto3 which scans the whole table, gets the keys for items with string TTL attributes and deletes them. However deleting the ~500k items seems to be rather slow. So any other answers would be much appreciated.



          import boto3
          dynamodb = boto3.resource('dynamodb')

          table = dynamodb.Table('my-table')

          response = table.scan()
          data = response['Items']
          while 'LastEvaluatedKey' in response:
          response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
          data.extend(response['Items'])

          string_keys = [item['key'] for item in data if type(item['ttl']) == str]

          with table.batch_writer() as batch:
          for key in string_keys:
          batch.delete_item(
          Key={
          'key': key
          },
          )
          string_keys.remove(key)





          share|improve this answer





















          • 1





            This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

            – cementblocks
            Nov 19 '18 at 21:42
















          0














          I've written a script in python with boto3 which scans the whole table, gets the keys for items with string TTL attributes and deletes them. However deleting the ~500k items seems to be rather slow. So any other answers would be much appreciated.



          import boto3
          dynamodb = boto3.resource('dynamodb')

          table = dynamodb.Table('my-table')

          response = table.scan()
          data = response['Items']
          while 'LastEvaluatedKey' in response:
          response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
          data.extend(response['Items'])

          string_keys = [item['key'] for item in data if type(item['ttl']) == str]

          with table.batch_writer() as batch:
          for key in string_keys:
          batch.delete_item(
          Key={
          'key': key
          },
          )
          string_keys.remove(key)





          share|improve this answer





















          • 1





            This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

            – cementblocks
            Nov 19 '18 at 21:42














          0












          0








          0







          I've written a script in python with boto3 which scans the whole table, gets the keys for items with string TTL attributes and deletes them. However deleting the ~500k items seems to be rather slow. So any other answers would be much appreciated.



          import boto3
          dynamodb = boto3.resource('dynamodb')

          table = dynamodb.Table('my-table')

          response = table.scan()
          data = response['Items']
          while 'LastEvaluatedKey' in response:
          response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
          data.extend(response['Items'])

          string_keys = [item['key'] for item in data if type(item['ttl']) == str]

          with table.batch_writer() as batch:
          for key in string_keys:
          batch.delete_item(
          Key={
          'key': key
          },
          )
          string_keys.remove(key)





          share|improve this answer















          I've written a script in python with boto3 which scans the whole table, gets the keys for items with string TTL attributes and deletes them. However deleting the ~500k items seems to be rather slow. So any other answers would be much appreciated.



          import boto3
          dynamodb = boto3.resource('dynamodb')

          table = dynamodb.Table('my-table')

          response = table.scan()
          data = response['Items']
          while 'LastEvaluatedKey' in response:
          response = table.scan(ExclusiveStartKey=response['LastEvaluatedKey'])
          data.extend(response['Items'])

          string_keys = [item['key'] for item in data if type(item['ttl']) == str]

          with table.batch_writer() as batch:
          for key in string_keys:
          batch.delete_item(
          Key={
          'key': key
          },
          )
          string_keys.remove(key)






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 19 '18 at 16:57

























          answered Nov 19 '18 at 16:43









          Jacob TomlinsonJacob Tomlinson

          1,61921946




          1,61921946








          • 1





            This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

            – cementblocks
            Nov 19 '18 at 21:42














          • 1





            This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

            – cementblocks
            Nov 19 '18 at 21:42








          1




          1





          This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

          – cementblocks
          Nov 19 '18 at 21:42





          This is your only way, unless you don't care about any of the data in the table, then just drop an recreate the table. Increase your provisioned write and/or read capacity to make it go faster,

          – cementblocks
          Nov 19 '18 at 21:42


















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