This module contains examples to demonstrate the use of Flink connector Table API and it uses NY Taxi Records to demonstrate the usage.
The follwing files are downloaded and used for this sample application
https://s3.amazonaws.com/nyc-tlc/trip+data/yellow_tripdata_2018-01.csv
https://s3.amazonaws.com/nyc-tlc/misc/taxi+_zone_lookup.csv
- Pravega running (see here for instructions)
- Build pravega-samples repository
After building the samples, navigate to the application install location
cd $SAMPLES-HOME/scenarios/pravega-flink-connector-sql-samples/build/install/pravega-flink-connector-sql-samples
Usage:
bin/tableapi-samples --runApp <Prepare|PopularDestination|PopularTaxiVendor|MaxTravellers>
Additional optional parameters: --scope <scope-name> --stream <stream-name> --controllerUri <controller-uri> --create-stream <true|false>
- Load taxi data to Pravega
The default option assumes that Pravega is running locally. You can override it by passing the controller URI options. The create-stream option allows the program to create the scope and stream (enabled by default).
bin/tableapi-samples --runApp Prepare
The above command loads the taxi dataset records to Pravega and prepares the environment for testing.
- Popular Destination
bin/tableapi-samples --runApp PopularDestinationQuery
The above command uses SQL to find the most popular destination (drop-off location) from the available trip records.
- Popular Taxi Vendors
bin/tableapi-samples --runApp PopularTaxiVendor
The above command uses Table API to find the most popular taxi vendor that was used by the commuters.
- Maximum Travellers/Destination
bin/tableapi-samples --runApp MaxTravellers
The above command uses Table API to group the maximum number of travellers with respect to the destination/drop-off location.