in app/like-service/service/mysfitsTableClient.py [0:0]
def getAllMysfits():
# Retrieve all Mysfits from DynamoDB using the DynamoDB scan operation.
# Note: The scan API can be expensive in terms of latency when a DynamoDB
# table contains a high number of records and filters are applied to the
# operation that require a large amount of data to be scanned in the table
# before a response is returned by DynamoDB. For high-volume tables that
# receive many requests, it is common to store the result of frequent/common
# scan operations in an in-memory cache. DynamoDB Accelerator (DAX) or
# use of ElastiCache can provide these benefits. But, because out Mythical
# Mysfits API is low traffic and the table is very small, the scan operation
# will suit our needs for this workshop.
response = client.scan(
TableName=table
)
logging.info(response["Items"])
# loop through the returned mysfits and add their attributes to a new dict
# that matches the JSON response structure expected by the frontend.
mysfitList = getMysfitsJson(response["Items"])
return json.dumps(mysfitList)