diff --git a/terraform/etl/38-aws-glue-job-parking.tf b/terraform/etl/38-aws-glue-job-parking.tf index 42a0fb6f7..cfc30b7ae 100644 --- a/terraform/etl/38-aws-glue-job-parking.tf +++ b/terraform/etl/38-aws-glue-job-parking.tf @@ -1326,3 +1326,26 @@ module "parking_cycle_hangar_allocation" { "--environment" = var.environment } } +module "parking_correspondence_performance_records_with_pcn_downtime_gds" { + source = "../modules/aws-glue-job" + is_live_environment = local.is_live_environment + is_production_environment = local.is_production_environment + department = module.department_parking_data_source + job_name = "${local.short_identifier_prefix}parking_correspondence_performance_records_with_pcn_downtime_gds" + helper_module_key = data.aws_s3_object.helpers.key + pydeequ_zip_key = data.aws_s3_object.pydeequ.key + spark_ui_output_storage_id = module.spark_ui_output_storage_data_source.bucket_id + script_name = "parking_correspondence_performance_records_with_pcn_downtime_gds" + triggered_by_job = module.parking_pcn_denormalisation.job_name + job_description = "correspondence performance records with pcn FOI records Team details and Downtime data for Google Studio - gds" + workflow_name = "${local.short_identifier_prefix}parking-liberator-data-workflow" + trigger_enabled = local.is_production_environment + number_of_workers_for_glue_job = 10 + glue_job_worker_type = "G.1X" + glue_version = "4.0" + job_parameters = { + "--job-bookmark-option" = "job-bookmark-disable" + "--environment" = var.environment + "--conf" = "spark.sql.legacy.timeParserPolicy=LEGACY --conf spark.sql.legacy.parquet.int96RebaseModeInRead=LEGACY --conf spark.sql.legacy.parquet.int96RebaseModeInWrite=LEGACY --conf spark.sql.legacy.parquet.datetimeRebaseModeInRead=LEGACY --conf spark.sql.legacy.parquet.datetimeRebaseModeInWrite=LEGACY" + } +}