diff --git a/nyc_taxis/operations/default.json b/nyc_taxis/operations/default.json index 057428ec8..829da3838 100644 --- a/nyc_taxis/operations/default.json +++ b/nyc_taxis/operations/default.json @@ -966,7 +966,10 @@ "name": "avg_passenger_count_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | stats avg(passenger_count)", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1010,7 +1013,10 @@ "name": "avg_tip_percent_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | where fare_amount > 0 | eval tip_percent = tip_amount / fare_amount | stats avg(tip_percent)", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1049,7 +1055,10 @@ "name": "avg_amount_group_by_integer_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | stats avg(total_amount) by passenger_count | sort passenger_count", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1088,7 +1097,10 @@ "name": "avg_amount_group_by_keyword_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | stats avg(total_amount) by rate_code_id | sort rate_code_id", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1117,7 +1129,10 @@ "name": "count_group_by_keyword_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | stats count=count(*) by rate_code_id | sort count desc", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1163,7 +1178,10 @@ "name": "avg_passenger_count_filtered_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | where total_amount > 60 and rate_code_id==\"2\"| stats avg(passenger_count)", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1189,7 +1207,10 @@ "name": "sort_by_ts_esql_doc_partitioning", "operation-type": "esql", "query" : "FROM nyc_taxis | sort pickup_datetime desc | KEEP pickup_datetime, dropoff_datetime, trip_distance | LIMIT 1000", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1202,7 +1223,10 @@ "name": "date_histogram_calendar_interval_esql_doc_partitioning", "operation-type": "esql", "query": "FROM nyc_taxis | where dropoff_datetime < \"2015-03-01T00:00:00\" AND dropoff_datetime >= \"2015-01-01T00:00:00\" | eval dropoffs_over_time=date_trunc(1 week, dropoff_datetime) | stats c = count(dropoff_datetime) by dropoffs_over_time | sort dropoffs_over_time", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1215,7 +1239,10 @@ "name": "date_histogram_fixed_interval_esql_doc_partitioning", "operation-type": "esql", "query": "FROM nyc_taxis | where dropoff_datetime < \"2015-03-01T00:00:00\" AND dropoff_datetime >= \"2015-01-01T00:00:00\" | eval dropoffs_over_time=date_trunc(10 days, dropoff_datetime) | stats c = count(dropoff_datetime) by dropoffs_over_time | sort dropoffs_over_time", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1274,7 +1301,10 @@ "name": "date_histogram_fixed_interval_with_metrics_esql_doc_partitioning", "operation-type": "esql", "query": "FROM nyc_taxis | where dropoff_datetime < \"2015-03-01T00:00:00\" AND dropoff_datetime >= \"2015-01-01T00:00:00\" | eval dropoffs_over_time=date_trunc(10 days, dropoff_datetime) | stats min_total_amount = min(total_amount), max_total_amount = max(total_amount), avg_total_amount = avg(total_amount), avg_trip_distance = avg(trip_distance) by dropoffs_over_time | sort dropoffs_over_time", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} { @@ -1314,7 +1344,10 @@ "name": "multi_terms-keyword_esql_doc_partitioning", "operation-type": "esql", "query": "FROM nyc_taxis | where dropoff_datetime < \"2015-02-01T00:00:00\" AND dropoff_datetime >= \"2015-01-01T00:00:00\" | stats c = count(dropoff_datetime) by trip_type, payment_type, vendor_id", - "body": { "pragma": { "data_partitioning": "doc" } } + "body": { + "accept_pragma_risks": true, + "pragma": { "data_partitioning": "doc" } + } }, {%- endif -%}{# non-serverless-doc-partitioning-marker-end #} {