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reinstate pushdown predicates #2234

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Merged
timburke-hackit merged 1 commit into from
May 1, 2025
Merged

reinstate pushdown predicates #2234

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4 changes: 2 additions & 2 deletions scripts/jobs/parking/parking_cedar_fulling_total_summary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@

from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var


environment = get_glue_env_var("environment")


Expand All @@ -31,8 +32,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_cedar_payments",
transformation_ctx="AmazonS3_node1625732038443",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node Amazon S3
Expand Down
7 changes: 3 additions & 4 deletions scripts/jobs/parking/parking_ceo_average_on_street_hrs_mins_secs.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@

from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var


environment = get_glue_env_var("environment")


Expand All @@ -31,17 +32,15 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_ceo_on_street",
transformation_ctx="AmazonS3_node1628173244776",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node Amazon S3
AmazonS3_node1638273151502 = glueContext.create_dynamic_frame.from_catalog(
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_ceo_summary",
transformation_ctx="AmazonS3_node1638273151502",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node ApplyMapping
Expand Down
4 changes: 2 additions & 2 deletions scripts/jobs/parking/parking_deployment_target_details.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@

from scripts.helpers.helpers import create_pushdown_predicate, get_glue_env_var


environment = get_glue_env_var("environment")


Expand Down Expand Up @@ -45,8 +46,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_ceo_on_street",
transformation_ctx="AmazonS3_node1633593851886",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node Amazon S3
Expand Down
3 changes: 1 addition & 2 deletions scripts/jobs/parking/parking_permit_street_stress.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,8 +53,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_permit_denormalised_data",
transformation_ctx="AmazonS3_node1681807784480",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node SQL
Expand Down
3 changes: 1 addition & 2 deletions scripts/jobs/parking/parking_permit_street_stress_with_cpz.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,8 +53,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_permit_denormalised_data",
transformation_ctx="AmazonS3_node1681807784480",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node SQL
Expand Down
3 changes: 1 addition & 2 deletions scripts/jobs/parking/parking_suspensions_processed.py
View file
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Original file line number Diff line number Diff line change
Expand Up @@ -45,8 +45,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_suspension_denormalised_data",
transformation_ctx="AmazonS3_node1661350417347",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node SQL
Expand Down
3 changes: 1 addition & 2 deletions scripts/jobs/parking/parking_suspensions_processed_with_finyear.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,8 +45,7 @@ def sparkSqlQuery(glueContext, query, mapping, transformation_ctx) -> DynamicFra
database="dataplatform-" + environment + "-liberator-refined-zone",
table_name="parking_suspension_denormalised_data",
transformation_ctx="AmazonS3_node1661350417347",
# teporarily removed while table partitions are fixed
# push_down_predicate=create_pushdown_predicate("import_date", 7),
push_down_predicate=create_pushdown_predicate("import_date", 7),
)

# Script generated for node Amazon S3
Expand Down