Need some CI pipelines to validate the scripts to avoid any mistake

[GaryShen2008]

No description provided.

[wjxiz1992]

We can add a pre-merge CI job for this repo.

[wjxiz1992]

Generate base data local	python3 nds_gen_data.py local 1 2 $PWD/raw_sf1 --overwrite_output
Generate base data hdfs	python3 nds_gen_data.py hdfs 1 2 hdfs:/nds2.0_ci/raw_sf1 --overwrite_output
Generate refresh data local	python3 nds_gen_data.py local 1 2 /user/$USER/raw_refresh_sf1 --overwrite_output --update
Generate refresh data hdfs	python3 nds_gen_data.py hdfs 1 2 hdfs:/nds2.0_ci/raw_refresh_sf1 --overwrite_output --update
Convert fresh data to parquet hdfs	./spark-submit-template convert_submits_gpu.template nds_transcode.py hdfs:/nds2.0_ci/raw_refresh_sf1 hdfs:/nds2.0_ci/parquet_refresh_sf1 report.txt --output_format parquet --output_mode overwrite --update
Convert base data to iceberg hdfs	./spark-submit-template convert_submits_gpu.template nds_transcode.py hdfs:/nds2.0_ci/raw_sf1 hdfs:/nds2.0_ci/iceberg_sf1 report.txt --output_format iceberg --output_mode overwrite
Generate query stream	python nds_gen_query_stream.py $TPCDS_HOME/query_templates 3000 ./query_streams --streams 1
Power run	./spark-submit-template power_run_gpu.template \nds_power.py \hdfs:/nds2.0_ci/iceberg_sf1 ./nds_query_streams/query_0.sql \time.csv --property_file properties/aqe-on.properties --input_format iceberg --output_prefix hdfs:/nds2.0_ci/gpu_output_sf1
Data validation	python nds_validate.py \hdfs:/nds2.0_ci/gpu_output_sf1 \hdfs:/nds2.0_ci/cpu_output_sf1 ./nds_query_streams/query_0.sql --ignore_ordering
Data maintenance	./spark-submit-template convert_submit_gpu_iceberg.template \nds_maintenance.py \hdfs:/nds2.0_ci/parquet_refresh_sf1./data_maintenance \time.csv
Throughput run	./nds-throughput 1,2 ./spark-submit-template power_run_gpu.template \nds_power.py \hdfs:/nds2.0_ci/iceberg_sf1 ./nds_query_streams/query_'{}'.sql \Time_'{}'.csv --input_format iceberg --output_prefix hdfs:/nds2.0_ci/gpu_output_sf1