def test_using_datablender_metric_builds_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(mock_dataset_blender.
fields["candidate-spend-per-wins"])).dimension(
f.day(mock_dataset_blender.fields.timestamp))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp" '
'LIMIT 200000',
str(queries[0]),
)
def test_apply_dimension_filter_on_unmapped_dimension_field_filters_in_dataset_nested_query(
self, ):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(f.day(mock_dataset_blender.fields.timestamp)).filter(
mock_dataset_blender.fields["political_party"] == "d")).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
"WHERE \"political_party\"='d' "
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp" '
'LIMIT 200000',
str(queries[0]),
)
def test_apply_set_filter_for_dimension_that_is_also_being_fetched_in_both_dataset_queries(
self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(mock_dataset_blender.fields['candidate-id']).filter(
f.ResultSet(
mock_dataset_blender.fields['candidate-id'] == 12))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$candidate-id" '
'LIMIT 200000',
str(queries[0]),
)
def test_fields_from_multiple_datasets_results_in_blender_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend"],
mock_dataset_blender.fields["voters"],
)).dimension(f.day(mock_dataset_blender.fields.timestamp))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend" "$candidate-spend",'
'"sq0"."$voters" "$voters" '
"FROM ("
"SELECT "
'TRUNC("politician"."timestamp",\'DD\') "$timestamp",'
'COUNT("voter"."id") "$voters" '
'FROM "politics"."politician" '
'JOIN "politics"."voter" ON "politician"."id"="voter"."politician_id" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp" '
'LIMIT 200000',
str(queries[0]),
)
def test_using_fields_from_single_dataset_reduced_to_dataset_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(mock_dataset_blender.fields["votes"])).dimension(
f.day(mock_dataset_blender.fields.timestamp))).sql
self.assertEqual(len(queries), 1)
# TODO Optimisation opportunity with desired result:
# self.assertEqual(
# "SELECT "
# 'TRUNC("timestamp",\'DD\') "$timestamp",'
# 'SUM("votes") "$votes" '
# 'FROM "politics"."politician" '
# 'GROUP BY "$timestamp" '
# 'ORDER BY "$timestamp"',
# str(queries[0]),
# )
self.assertEqual(
'SELECT "sq0"."$timestamp" "$timestamp","sq0"."$votes" "$votes" '
"FROM ("
'SELECT TRUNC("timestamp",\'DD\') "$timestamp",SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp") "sq0" '
"LEFT JOIN ("
'SELECT TRUNC("timestamp",\'DD\') "$timestamp" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp") "sq1" '
'ON "sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp" '
'LIMIT 200000',
str(queries[0]),
)
def test_apply_set_filter_for_metric_in_primary_dataset_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(f.day(mock_dataset_blender.fields.timestamp)).filter(
f.ResultSet(mock_dataset_blender.fields["votes"].gt(10)))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$set(SUM(votes)>10)" "$set(SUM(votes)>10)",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'CASE WHEN SUM("votes")>10 THEN \'set(SUM(votes)>10)\' ELSE \'complement(SUM(votes)>10)\' END "$set(SUM(votes)>10)",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp" '
'LIMIT 200000',
str(queries[0]),
)
def test_using_datablender_builds_query_with_mapped_and_unmapped_dimensions(
self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(mock_dataset_blender.
fields["candidate-spend-per-wins"])).dimension(
f.day(mock_dataset_blender.fields.timestamp),
mock_dataset_blender.fields.political_party,
)).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$political_party" "$political_party",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"political_party" "$political_party",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$political_party" ORDER BY "$timestamp","$political_party"'
') "sq0" '
"JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp","$political_party"',
str(queries[0]),
)
def test_multiple_metrics_with_an_order_by_in_query_applies_order_to_wrapping_query(
self, ):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["votes"],
mock_dataset_blender.fields["candidate-spend"],
)).dimension(f.day(mock_dataset_blender.fields.timestamp)).orderby(
mock_dataset_blender.fields["votes"])).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$votes" "$votes",'
'"sq1"."$candidate-spend" "$candidate-spend" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq0" '
"JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$votes"',
str(queries[0]),
)
def test_apply_metric_filter_to_dataset_field_filters_in_nested_dataset_query(
self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(f.day(mock_dataset_blender.fields.timestamp)).filter(
mock_dataset_blender.fields["votes"].gt(10))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'HAVING SUM("votes")>10 '
'ORDER BY "$timestamp"'
') "sq0" '
"JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(queries[0]),
)
def test_apply_reference_to_blended_query(self):
query = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(f.day(mock_dataset_blender.fields.timestamp)).reference(
f.WeekOverWeek(mock_dataset_blender.fields.timestamp)))
sql = query.sql
self.assertEqual(len(sql), 2)
(base_query, ref_query) = sql
with self.subTest("base query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq0" '
"JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(base_query),
)
with self.subTest("ref query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq1"."$candidate-spend_wow"/"sq0"."$wins_wow" "$candidate-spend-per-wins_wow" '
"FROM ("
"SELECT "
"TRUNC(TIMESTAMPADD('week',1,TRUNC(\"timestamp\",'DD')),'DD') \"$timestamp\","
'SUM("is_winner") "$wins_wow" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq0" '
"JOIN ("
"SELECT "
"TRUNC(TIMESTAMPADD('week',1,TRUNC(\"timestamp\",'DD')),'DD') \"$timestamp\","
'SUM("candidate_spend") "$candidate-spend_wow" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp" ORDER BY "$timestamp"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'ORDER BY "$timestamp"',
str(ref_query),
)
def test_does_not_raise_SlicerException_when_a_dimension_is_not_mapped_for_unnecessary_secondary_datasets(
self,
):
# noinspection PyStatementEffect
(
mock_dataset_blender.query()
.widget(f.ReactTable(mock_dataset_blender.fields["votes"]))
.dimension(mock_dataset_blender.fields["district-id"])
).sql
def test_using_fields_from_single_dataset_reduced_to_dataset_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(mock_dataset_blender.fields["votes"], )).dimension(
f.day(mock_dataset_blender.fields.timestamp))).sql
self.assertEqual(len(queries), 1)
self.assertEqual(
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'SUM("votes") "$votes" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp" '
'ORDER BY "$timestamp"',
str(queries[0]),
)
def test_blend_data_set_on_query_using_joins(self):
query = (
mock_dataset_blender.query()
.widget(f.ReactTable(mock_dataset_blender.fields["candidate-spend-per-wins"]))
.dimension(
f.day(mock_dataset_blender.fields.timestamp),
mock_dataset_blender.fields.state,
)
)
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$state" "$state",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("politician"."timestamp",\'DD\') "$timestamp",'
'"state"."state_name" "$state",'
'SUM("politician"."is_winner") "$wins" '
'FROM "politics"."politician" '
'FULL OUTER JOIN "locations"."district" '
'ON "politician"."district_id"="district"."id" '
'JOIN "locations"."state" '
'ON "district"."state_id"="state"."id" '
'GROUP BY "$timestamp","$state"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"state_name" "$state",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$state"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$state"="sq1"."$state" '
'ORDER BY "$timestamp","$state" '
'LIMIT 200000',
str(query.sql[0]),
)
def test_blended_query_with_orderby_mapped_dimension(self):
queries = (
mock_dataset_blender.query()
.widget(f.ReactTable(mock_dataset_blender.fields["candidate-spend-per-wins"]))
.dimension(
f.day(mock_dataset_blender.fields.timestamp),
mock_dataset_blender.fields["candidate-id"],
)
.orderby(mock_dataset_blender.fields["candidate-id"], Order.desc)
).sql
self.assertEqual(len(queries), 1)
(query,) = queries
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_id" "$candidate-id",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_id" "$candidate-id",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$candidate-id" DESC '
'LIMIT 200000',
str(query),
)
def test_apply_totals_to_blended_query(self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(mock_dataset_blender.
fields["candidate-spend-per-wins"])).dimension(
f.day(mock_dataset_blender.fields.timestamp),
Rollup(
mock_dataset_blender.fields["candidate-id"]),
)).sql
self.assertEqual(len(queries), 2)
(base_query, totals_query) = queries
with self.subTest("base query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_id" "$candidate-id",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'"candidate_id" "$candidate-id",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$timestamp","$candidate-id" '
'LIMIT 200000',
str(base_query),
)
with self.subTest("totals query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
"'_FIREANT_ROLLUP_VALUE_' \"$candidate-id\","
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
"'_FIREANT_ROLLUP_VALUE_' \"$candidate-id\","
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$timestamp","$candidate-id" '
'LIMIT 200000',
str(totals_query),
)
def test_apply_set_filter_for_dimension_with_reference_in_both_dataset_queries(
self):
queries = (mock_dataset_blender.query().widget(
f.ReactTable(
mock_dataset_blender.fields["candidate-spend-per-wins"])
).dimension(f.day(mock_dataset_blender.fields.timestamp)).reference(
f.WeekOverWeek(mock_dataset_blender.fields.timestamp)).filter(
f.ResultSet(
mock_dataset_blender.fields['candidate-id'] == 12))).sql
self.assertEqual(len(queries), 2)
with self.subTest("base query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend"/"sq0"."$wins" "$candidate-spend-per-wins" '
"FROM ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("is_winner") "$wins" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC("timestamp",\'DD\') "$timestamp",'
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("candidate_spend") "$candidate-spend" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$timestamp","$candidate-id" '
'LIMIT 200000',
str(queries[0]),
)
with self.subTest("ref query"):
self.assertEqual(
"SELECT "
'"sq0"."$timestamp" "$timestamp",'
'"sq0"."$candidate-id" "$candidate-id",'
'"sq1"."$candidate-spend_wow"/"sq0"."$wins_wow" "$candidate-spend-per-wins_wow" '
"FROM ("
"SELECT "
'TRUNC(TIMESTAMPADD(week,1,TRUNC("timestamp",\'DD\')),\'DD\') "$timestamp",'
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' '
'ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("is_winner") "$wins_wow" '
'FROM "politics"."politician" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq0" '
"LEFT JOIN ("
"SELECT "
'TRUNC(TIMESTAMPADD(week,1,TRUNC("timestamp",\'DD\')),\'DD\') "$timestamp",'
'CASE WHEN "candidate_id"=12 THEN \'set(candidate_id=12)\' '
'ELSE \'complement(candidate_id=12)\' END "$candidate-id",'
'SUM("candidate_spend") "$candidate-spend_wow" '
'FROM "politics"."politician_spend" '
'GROUP BY "$timestamp","$candidate-id"'
') "sq1" '
"ON "
'"sq0"."$timestamp"="sq1"."$timestamp" '
'AND "sq0"."$candidate-id"="sq1"."$candidate-id" '
'ORDER BY "$timestamp","$candidate-id" '
'LIMIT 200000',
str(queries[1]),
)
