Take the default duplication down to 25

At some point the duplication was bumped to 100. This takes forever to
complete with 4x4gb executors, which isn't a useful experience for
users.

With duplication at 25 the spark job takes about 5 minutes to complete
which is plenty of time for the user to poke around.

analytics/scripts/taxi-trip-execute.sh

@@ -19,7 +19,7 @@ fi
 S3_BUCKET="$1"
 REGION="$2"
 
-INPUT_DATA_S3_PATH="s3://${S3_BUCKET}/taxi-trip/input/"
+INPUT_DATA_S3_PATH="s3://${S3_BUCKET}/taxi-trip/input"
 
 # Create a local input folder
 mkdir input
@@ -29,15 +29,15 @@ aws s3 cp pyspark-taxi-trip.py s3://${S3_BUCKET}/taxi-trip/scripts/ --region ${R
 
 # Copy Test Input data to S3 bucket
 wget https://d37ci6vzurychx.cloudfront.net/trip-data/yellow_tripdata_2022-01.parquet -O "input/yellow_tripdata_2022-0.parquet"
-aws s3 cp "input/yellow_tripdata_2022-0.parquet" s3://${S3_BUCKET}/input/yellow_tripdata_2022-0.parquet
+aws s3 cp "input/yellow_tripdata_2022-0.parquet" ${INPUT_DATA_S3_PATH}/yellow_tripdata_2022-0.parquet
 
 pids=()
 
 # Making duplicate copies to increase the size of the data.
-max=100
+max=25
 for (( i=1; i <= $max; ++i ))
 do
-  aws s3 cp s3://${S3_BUCKET}/input/yellow_tripdata_2022-0.parquet s3://${S3_BUCKET}/input/yellow_tripdata_2022-${i}.parquet &
+  aws s3 cp ${INPUT_DATA_S3_PATH}/yellow_tripdata_2022-0.parquet ${INPUT_DATA_S3_PATH}/yellow_tripdata_2022-${i}.parquet &
   pids+=($!)
 done
 
@@ -46,4 +46,4 @@ for pid in "${pids[@]}"; do
 done
 
 # Delete a local input folder
-rm -rf input
+rm -rf input

website/docs/blueprints/data-analytics/_taxi_trip_exec.md

@@ -6,4 +6,4 @@ require a relatively fast internet connection.
 
 ```bash
 ${DOEKS_HOME}/analytics/scripts/taxi-trip-execute.sh ${S3_BUCKET} YOUR_REGION_HERE
-```
+```