I have an S3 bucket which is constantly being filled with new data, I am using Athena and Glue to query that data, the thing is if glue doesn't know that a new partition is created it doesn't search that it needs to search there. If I make an API call to run the Glue crawler each time I need a new partition is too expensive so the best solution to do this is to tell glue that a new partition is added i.e to create a new partition is in it's properties table. I looked through AWS documentation but no luck, I am using Java with AWS. Any help?
You may want to use batch_create_partition()
glue api to register new partitions. It doesn't require any expensive operation like MSCK REPAIR TABLE or re-crawling.
I had a similar use case for which I wrote a python script which does the below -
Step 1 - Fetch the table information and parse the necessary information from it which is required to register the partitions.
# Fetching table information from glue catalog
logger.info("Fetching table info for {}.{}".format(l_database, l_table))
try:
response = l_client.get_table(
CatalogId=l_catalog_id,
DatabaseName=l_database,
Name=l_table
)
except Exception as error:
logger.error("Exception while fetching table info for {}.{} - {}"
.format(l_database, l_table, error))
sys.exit(-1)
# Parsing table info required to create partitions from table
input_format = response['Table']['StorageDescriptor']['InputFormat']
output_format = response['Table']['StorageDescriptor']['OutputFormat']
table_location = response['Table']['StorageDescriptor']['Location']
serde_info = response['Table']['StorageDescriptor']['SerdeInfo']
partition_keys = response['Table']['PartitionKeys']
Step 2 - Generate a dictionary of lists where each list contains the information to create a single partition. All lists will have same structure but their partition specific values will change (year, month, day, hour)
def generate_partition_input_list(start_date, num_of_days, table_location,
input_format, output_format, serde_info):
input_list = [] # Initializing empty list
today = datetime.utcnow().date()
if start_date > today: # To handle scenarios if any future partitions are created manually
start_date = today
end_date = today + timedelta(days=num_of_days) # Getting end date till which partitions needs to be created
logger.info("Partitions to be created from {} to {}".format(start_date, end_date))
for input_date in date_range(start_date, end_date):
# Formatting partition values by padding required zeroes and converting into string
year = str(input_date)[0:4].zfill(4)
month = str(input_date)[5:7].zfill(2)
day = str(input_date)[8:10].zfill(2)
for hour in range(24): # Looping over 24 hours to generate partition input for 24 hours for a day
hour = str('{:02d}'.format(hour)) # Padding zero to make sure that hour is in two digits
part_location = "{}{}/{}/{}/{}/".format(table_location, year, month, day, hour)
input_dict = {
'Values': [
year, month, day, hour
],
'StorageDescriptor': {
'Location': part_location,
'InputFormat': input_format,
'OutputFormat': output_format,
'SerdeInfo': serde_info
}
}
input_list.append(input_dict.copy())
return input_list
Step 3 - Call the batch_create_partition() API
for each_input in break_list_into_chunks(partition_input_list, 100):
create_partition_response = client.batch_create_partition(
CatalogId=catalog_id,
DatabaseName=l_database,
TableName=l_table,
PartitionInputList=each_input
)
There is a limit of 100 partitions in a single api call, So if you are creating more than 100 partitions then you will need to break your list into chunks and iterate over it.