I have been working with a company that stores NoSQL data as JSON strings in AWS's DynamoDB. We recently decided to perform some more complicated analysis of our data with MongoDB.
After inquiring with folks in #AWS and #MongoDB, I could not find an existing way to export a Dynamo table to Mongo.
This method worked for me with our existing Data Pipeline backups (Set up an AWS EMR or Data Pipeline job to export the DynamoDB table) instead of performing queries against the Dynamo DB at the cost of additional throughput.
The following sed line was used to convert an AWS Pipeline export to valid JSON, thereby removing the junk unicode characters:
sed -e 's/$/}/' -e $'s/\x02/,"/g' -e $'s/\x03/":/g' -e 's/^/{"/' <exported_table> > <exported_table>.jsonThis method was originally used to recreate the initial string-bound structure held by our AWS stores. However, with Mongo we can actually store the entire nested JSON object properly. I've included the PHP script I used to do so, but it is a very straight-forward operation that can be performed by any scripting language with a JSON parser.
You will need to run:
cat <exported_table>.json | php -q aws_converter.php > mongo_formatted.json
mongoimport -d <database> -c <collection> <exported_table>.json;