Loading data into DynamoDB by using Glue Studio, resulting in Provided list of item keys contains duplicates

Question

Hi,

I have to load a file containing some postal codes (around 200.000, CSV), stored onto S3, to a DynamoDB table. I'm following two approaches, on based on Lambda, one based on Glue Studio.

In the *Glue Studio* case, the graph is pretty simple, based on two nodes, where the first one loads the data from S3 and the second one specifies the writing option into a custom node ; the primary key being the postal code, without sorting key. As following :

> 
glueContext.write_dynamic_frame_from_options(
        frame=dfc,
        connection_type="dynamodb",
        connection_options={
            "dynamodb.output.tableName": "postalCodes"
        }
    )
>

Moreover, the run fails systematically after inserting the first 50 entries and with the error: *Provided list of item keys contains duplicates*. But, the original list doesn't contain any duplicate.

So, what is the point I've missed?

Thanks in advance,

Fred

Leeroy Hannigan · Accepted Answer

Hi Fred,

As you may know Glue Connection to DynamoDB is an abstraction on ```BatchWriteItems``` API call for DynamoDB, wherein it writes in batches of 25 items per request. As you are using ```postal_code``` as the partition key, if two items in a batch of 25 items contain the same ```postal_code```, then you will receive this exception.

Before writing out to sink, you could convert your DynamicFrame to a Dataframe and call either ```distinct``` or ```dropDuplicates``` on the ```postal_code``` column.  You must then convert back to DynamicFrame to make use of DynamoDB as a sink.

```
df
  .select("postal_code")
  .distinct
  .withColumn("postal_code","other", "other1"))
  .show()
```

Another thing worth checking is that you are not reading in CSV headers, this could also be the cause of having duplicates in the same batch. You can set the option when reading the CSV with the following [param](https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-etl-format.html#aws-glue-programming-etl-format-csv):

```'withHeader': False```

AWS-User-4131049 · Answer

Hi Leeroy,
thanks for the point. So, we realized the deduplicate stage doesn't work well under certain conditions. We reinforced it and our Glue process works well now. 
Best regards,
Fred

Loading data into DynamoDB by using Glue Studio, resulting in Provided list of item keys contains duplicates

Añade tu respuesta

Contenido relevante