mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-11-10 01:25:21 +00:00
Fix non-deterministic test result
This commit is contained in:
parent
105b210126
commit
dbe7142813
@ -51,7 +51,7 @@ select * from enums order by e;
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select * from enums order by e desc;
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-- GROUP BY
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select count(), e from enums group by e;
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select count(), e from enums group by e order by e;
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select any(e) from enums;
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-- IN
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@ -11,4 +11,4 @@ ${CLICKHOUSE_LOCAL} --query="SELECT * FROM numbers(1) UNION ALL SELECT * FROM nu
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echo 'extremes'
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${CLICKHOUSE_LOCAL} --query="SELECT * FROM numbers(3)" --format PrettyCompactMonoBlock --extremes=1
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echo 'totals'
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${CLICKHOUSE_LOCAL} --query="SELECT sum(number) FROM numbers(3) GROUP BY number%2 WITH TOTALS" --format PrettyCompactMonoBlock
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${CLICKHOUSE_LOCAL} --query="SELECT sum(number) FROM numbers(3) GROUP BY number%2 WITH TOTALS ORDER BY number%2" --format PrettyCompactMonoBlock
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@ -9,4 +9,5 @@ SELECT
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number IN (1, 2) AS x,
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count()
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FROM numbers(10)
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GROUP BY x;
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GROUP BY x
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ORDER BY x;
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@ -66,10 +66,10 @@ drop table if exists lc_null_fix_str_1;
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select '-';
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SELECT toLowCardinality('a') AS s, toTypeName(s), toTypeName(length(s)) from system.one;
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select toLowCardinality('a') as val group by val;
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select (toLowCardinality('a') as val) || 'b' group by val;
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select toLowCardinality(z) as val from (select arrayJoin(['c', 'd']) as z) group by val;
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select (toLowCardinality(z) as val) || 'b' from (select arrayJoin(['c', 'd']) as z) group by val;
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select toLowCardinality('a') as val group by val order by val;
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select (toLowCardinality('a') as val) || 'b' group by val order by val;
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select toLowCardinality(z) as val from (select arrayJoin(['c', 'd']) as z) group by val order by val;
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select (toLowCardinality(z) as val) || 'b' from (select arrayJoin(['c', 'd']) as z) group by val order by val;
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select '-';
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drop table if exists lc_str_uuid;
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@ -20,13 +20,14 @@ INSERT INTO bitmap_state_test SELECT
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city_id,
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groupBitmapState(uid) AS uv
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FROM bitmap_test
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GROUP BY pickup_date, city_id;
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GROUP BY pickup_date, city_id
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ORDER BY pickup_date, city_id;
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SELECT pickup_date, groupBitmapMerge(uv) AS users from bitmap_state_test group by pickup_date;
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SELECT pickup_date, groupBitmapMerge(uv) AS users from bitmap_state_test group by pickup_date order by pickup_date;
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SELECT groupBitmap( uid ) AS user_num FROM bitmap_test;
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SELECT pickup_date, groupBitmap( uid ) AS user_num, bitmapToArray(groupBitmapState( uid )) AS users FROM bitmap_test GROUP BY pickup_date;
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SELECT pickup_date, groupBitmap( uid ) AS user_num, bitmapToArray(groupBitmapState( uid )) AS users FROM bitmap_test GROUP BY pickup_date order by pickup_date;
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SELECT
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bitmapCardinality(day_today) AS today_users,
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@ -37,11 +38,11 @@ SELECT
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bitmapXorCardinality(day_today, day_before) AS diff_users
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FROM
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(
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id ORDER BY city_id
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) js1
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ALL LEFT JOIN
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(
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id ORDER BY city_id
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) js2
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USING city_id;
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@ -54,11 +55,11 @@ SELECT
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bitmapCardinality(bitmapXor(day_today, day_before)) AS diff_users
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FROM
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(
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id ORDER BY city_id
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) js1
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ALL LEFT JOIN
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(
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id ORDER BY city_id
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) js2
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USING city_id;
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@ -68,7 +69,7 @@ SELECT count(*) FROM bitmap_test WHERE bitmapHasAny(bitmapBuild([uid]), (SELECT
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SELECT count(*) FROM bitmap_test WHERE 0 = bitmapHasAny((SELECT groupBitmapState(uid) FROM bitmap_test WHERE pickup_date = '2019-01-01'), bitmapBuild([uid]));
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SELECT bitmapToArray(bitmapAnd(groupBitmapState(uid), bitmapBuild(CAST([4294967296, 4294967297, 4294967298], 'Array(UInt64)')))) FROM bitmap_test GROUP BY city_id;
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SELECT bitmapToArray(bitmapAnd(groupBitmapState(uid), bitmapBuild(CAST([4294967296, 4294967297, 4294967298], 'Array(UInt64)')))) FROM bitmap_test GROUP BY city_id ORDER BY city_id;
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DROP TABLE bitmap_state_test;
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DROP TABLE bitmap_test;
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@ -20,7 +20,7 @@ INSERT INTO bitmap_test SELECT '2019-01-03', 2, number FROM numbers(1,10);
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SELECT groupBitmap( uid ) AS user_num FROM bitmap_test;
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SELECT pickup_date, groupBitmap( uid ) AS user_num, bitmapToArray(groupBitmapState( uid )) AS users FROM bitmap_test GROUP BY pickup_date;
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SELECT pickup_date, groupBitmap( uid ) AS user_num, bitmapToArray(groupBitmapState( uid )) AS users FROM bitmap_test GROUP BY pickup_date ORDER BY pickup_date;
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SELECT
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bitmapCardinality(day_today) AS today_users,
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@ -31,11 +31,11 @@ SELECT
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bitmapXorCardinality(day_today, day_before) AS diff_users
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FROM
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(
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id ORDER BY city_id
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) js1
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ALL LEFT JOIN
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(
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id ORDER BY city_id
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) js2
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USING city_id;
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@ -48,11 +48,11 @@ SELECT
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bitmapCardinality(bitmapXor(day_today, day_before)) AS diff_users
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FROM
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(
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_today FROM bitmap_test WHERE pickup_date = '2019-01-02' GROUP BY city_id ORDER BY city_id
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) js1
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ALL LEFT JOIN
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(
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id
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SELECT city_id, groupBitmapState( uid ) AS day_before FROM bitmap_test WHERE pickup_date = '2019-01-01' GROUP BY city_id ORDER BY city_id
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) js2
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USING city_id;
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@ -67,7 +67,7 @@ SELECT count(*) FROM bitmap_test WHERE bitmapContains((SELECT groupBitmapState(u
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SELECT count(*) FROM bitmap_test WHERE 0 = bitmapContains((SELECT groupBitmapState(uid) FROM bitmap_test WHERE pickup_date = '2019-01-01'), uid);
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-- PR#8082
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SELECT bitmapToArray(bitmapAnd(groupBitmapState(uid), bitmapBuild(CAST([1, 2, 3], 'Array(UInt32)')))) FROM bitmap_test GROUP BY city_id;
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SELECT bitmapToArray(bitmapAnd(groupBitmapState(uid), bitmapBuild(CAST([1, 2, 3], 'Array(UInt32)')))) FROM bitmap_test GROUP BY city_id ORDER BY city_id;
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-- bitmap state test
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DROP TABLE IF EXISTS bitmap_state_test;
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@ -87,7 +87,7 @@ INSERT INTO bitmap_state_test SELECT
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FROM bitmap_test
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GROUP BY pickup_date, city_id;
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SELECT pickup_date, groupBitmapMerge(uv) AS users from bitmap_state_test group by pickup_date;
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SELECT pickup_date, groupBitmapMerge(uv) AS users from bitmap_state_test group by pickup_date order by pickup_date;
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-- between column and expression test
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DROP TABLE IF EXISTS bitmap_column_expr_test;
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@ -1,4 +1,4 @@
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select k, groupArraySample(10, 123456)(v) from (select number % 4 as k, number as v from numbers(1024)) group by k;
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select k, groupArraySample(10, 123456)(v) from (select number % 4 as k, number as v from numbers(1024)) group by k order by k;
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-- different seed
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select k, groupArraySample(10, 1)(v) from (select number % 4 as k, number as v from numbers(1024)) group by k;
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select k, groupArraySample(10, 1)(v) from (select number % 4 as k, number as v from numbers(1024)) group by k order by k;
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@ -3,17 +3,17 @@ CREATE TABLE t (item_id UInt64, price_sold Float32, date Date) ENGINE MergeTree
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SELECT item_id
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) l
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FULL JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) r
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FULL JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) r
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USING (item_id);
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SELECT id
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FROM (SELECT item_id AS id FROM t GROUP BY id WITH TOTALS) l
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FULL JOIN (SELECT item_id AS id FROM t GROUP BY id WITH TOTALS) r
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FULL JOIN (SELECT item_id AS id FROM t GROUP BY id WITH TOTALS ORDER BY item_id) r
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USING (id);
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SELECT item_id
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) l
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INNER JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) r
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INNER JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) r
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USING (item_id);
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SELECT id
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@ -26,75 +26,77 @@ FROM (
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SELECT item_id AS id, SUM(price_sold) AS recent
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FROM t WHERE (date BETWEEN '2019-12-16' AND '2020-03-08')
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GROUP BY id WITH TOTALS
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ORDER BY id
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) ll
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FULL JOIN
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(
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SELECT item_id AS id, SUM(price_sold) AS yago
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FROM t WHERE (date BETWEEN '2018-12-17' AND '2019-03-10')
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GROUP BY id WITH TOTALS
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ORDER BY id
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) rr
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USING (id);
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SELECT id, yago
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FROM ( SELECT item_id AS id FROM t GROUP BY id ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin([111, 222, 333, 444]), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ) AS rr
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin([111, 222, 333, 444]), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS rr
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USING (id);
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SELECT id, yago
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FROM ( SELECT item_id AS id, arrayJoin([111, 222, 333]) FROM t GROUP BY id WITH TOTALS ) AS ll
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FROM ( SELECT item_id AS id, arrayJoin([111, 222, 333]) FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, SUM(price_sold) AS yago FROM t GROUP BY id ) AS rr
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USING (id);
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SELECT id, yago
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FROM ( SELECT item_id AS id, arrayJoin(emptyArrayInt32()) FROM t GROUP BY id WITH TOTALS ) AS ll
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FROM ( SELECT item_id AS id, arrayJoin(emptyArrayInt32()) FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, SUM(price_sold) AS yago FROM t GROUP BY id ) AS rr
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USING (id);
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SELECT id, yago
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FROM ( SELECT item_id AS id FROM t GROUP BY id ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin(emptyArrayInt32()), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ) AS rr
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin(emptyArrayInt32()), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS rr
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USING (id);
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SELECT id, yago
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FROM ( SELECT item_id AS id, arrayJoin([111, 222, 333]) FROM t GROUP BY id WITH TOTALS ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin([111, 222, 333, 444]), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ) AS rr
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FROM ( SELECT item_id AS id, arrayJoin([111, 222, 333]) FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS ll
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FULL OUTER JOIN ( SELECT item_id AS id, arrayJoin([111, 222, 333, 444]), SUM(price_sold) AS yago FROM t GROUP BY id WITH TOTALS ORDER BY id ) AS rr
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USING (id);
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INSERT INTO t VALUES (1, 100, '1970-01-01'), (1, 200, '1970-01-02');
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SELECT *
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) l
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) l
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LEFT JOIN (SELECT item_id FROM t ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) l
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) l
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RIGHT JOIN (SELECT item_id FROM t ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT item_id FROM t) l
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LEFT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ) r
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LEFT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT item_id FROM t) l
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RIGHT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ) r
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RIGHT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS) l
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LEFT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ) r
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FROM (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) l
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LEFT JOIN (SELECT item_id FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT item_id, 'foo' AS key, 1 AS val FROM t GROUP BY item_id WITH TOTALS) l
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LEFT JOIN (SELECT item_id, sum(price_sold) AS val FROM t GROUP BY item_id WITH TOTALS ) r
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FROM (SELECT item_id, 'foo' AS key, 1 AS val FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id) l
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LEFT JOIN (SELECT item_id, sum(price_sold) AS val FROM t GROUP BY item_id WITH TOTALS ORDER BY item_id ) r
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ON l.item_id = r.item_id;
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SELECT *
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FROM (SELECT * FROM t GROUP BY item_id, price_sold, date WITH TOTALS) l
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LEFT JOIN (SELECT * FROM t GROUP BY item_id, price_sold, date WITH TOTALS ) r
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FROM (SELECT * FROM t GROUP BY item_id, price_sold, date WITH TOTALS ORDER BY item_id, price_sold, date) l
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LEFT JOIN (SELECT * FROM t GROUP BY item_id, price_sold, date WITH TOTALS ORDER BY item_id, price_sold, date ) r
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ON l.item_id = r.item_id;
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DROP TABLE t;
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@ -5,7 +5,7 @@ SELECT finalizeAggregation(countState(DISTINCT toString(number % 20))) FROM numb
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SELECT round(corrStable(DISTINCT x, y), 5) FROM (SELECT number % 10 AS x, number % 5 AS y FROM numbers(1000));
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SELECT round(corrStable(x, y), 5) FROM (SELECT DISTINCT number % 10 AS x, number % 5 AS y FROM numbers(1000));
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SELECT sum(DISTINCT y) FROM (SELECT number % 5 AS x, number % 15 AS y FROM numbers(1000)) GROUP BY x;
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SELECT sum(DISTINCT y) FROM (SELECT number % 5 AS x, number % 15 AS y FROM numbers(1000)) GROUP BY x ORDER BY x;
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SELECT countIf(DISTINCT number % 10, number % 5 = 2) FROM numbers(10000);
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EXPLAIN SYNTAX SELECT countIf(DISTINCT number % 10, number % 5 = 2) FROM numbers(10000);
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@ -2,7 +2,7 @@ select sumResample(0, 20, 1)(number, number % 20) from numbers(200);
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select arrayMap(x -> finalizeAggregation(x), state) from (select sumStateResample(0, 20, 1)(number, number % 20) as state from numbers(200));
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select arrayMap(x -> finalizeAggregation(x), state) from
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(
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select sumStateResample(0,20,1)(number, number%20) as state from numbers(200) group by number % 3
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select sumStateResample(0,20,1)(number, number%20) as state from numbers(200) group by number % 3 order by number % 3
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);
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select groupArrayResample(0, 20, 1)(number, number % 20) from numbers(50);
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@ -1 +1 @@
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SELECT number % 100 AS k, sumArray(emptyArrayUInt8()) AS v FROM numbers(10) GROUP BY k;
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SELECT number % 100 AS k, sumArray(emptyArrayUInt8()) AS v FROM numbers(10) GROUP BY k ORDER BY k;
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@ -1,9 +1,9 @@
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set output_format_write_statistics = 0;
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals) array join [1, 2] as a format Pretty;
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals order by g) array join [1, 2] as a format Pretty;
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select '--';
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals) array join [1, 2] as a format TSV;
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals order by g) array join [1, 2] as a format TSV;
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select '--';
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals) array join [1, 2] as a format JSON;
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select g, s from (select g, sum(number) as s from numbers(4) group by bitAnd(number, 1) as g with totals order by g) array join [1, 2] as a format JSON;
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select '--';
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@ -28,7 +28,7 @@ SELECT name, active FROM system.parts WHERE database = currentDatabase() AND tab
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SELECT '# optimize';
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SYSTEM START MERGES data_01660;
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OPTIMIZE TABLE data_01660 FINAL;
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SELECT count(), _state FROM system.parts WHERE database = currentDatabase() AND table = 'data_01660' GROUP BY _state;
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SELECT count(), _state FROM system.parts WHERE database = currentDatabase() AND table = 'data_01660' GROUP BY _state ORDER BY _state;
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-- TRUNCATE does not remove parts instantly
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SELECT '# truncate';
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@ -124,14 +124,14 @@ SELECT * FROM t_sparse WHERE arr2 != [] ORDER BY id;
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192 0 [] [0,1]
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SELECT sum(u) FROM t_sparse;
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1900
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SELECT sum(u) FROM t_sparse GROUP BY id % 7;
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210
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360
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300
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240
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190
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330
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270
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SELECT id % 7, sum(u) FROM t_sparse GROUP BY id % 7 ORDER BY id % 7;
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0 210
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1 360
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2 300
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3 240
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4 190
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5 330
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6 270
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SELECT arrayFilter(x -> x % 2 = 1, arr2) FROM t_sparse WHERE arr2 != [] LIMIT 5;
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[1]
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[1,3]
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@ -25,7 +25,7 @@ SELECT * FROM t_sparse WHERE arr1 != [] ORDER BY id;
|
||||
SELECT * FROM t_sparse WHERE arr2 != [] ORDER BY id;
|
||||
|
||||
SELECT sum(u) FROM t_sparse;
|
||||
SELECT sum(u) FROM t_sparse GROUP BY id % 7;
|
||||
SELECT id % 7, sum(u) FROM t_sparse GROUP BY id % 7 ORDER BY id % 7;
|
||||
|
||||
SELECT arrayFilter(x -> x % 2 = 1, arr2) FROM t_sparse WHERE arr2 != [] LIMIT 5;
|
||||
|
||||
|
@ -95,4 +95,5 @@ FROM
|
||||
FROM numbers(10)
|
||||
)
|
||||
GROUP BY b
|
||||
ORDER BY b ASC
|
||||
1 1 1
|
||||
|
@ -58,8 +58,8 @@ SELECT quantileBFloat16Weighted(0.2)(d, 1), quantileBFloat16Weighted(0.3)(d, 1),
|
||||
|
||||
EXPLAIN SYNTAX SELECT quantile(0.2)(d) as k, quantile(0.3)(d) FROM datetime order by quantile(0.2)(d);
|
||||
|
||||
SELECT b, quantile(0.5)(x) as a, quantile(0.9)(x) as y, quantile(0.95)(x) FROM (select number as x, number % 2 as b from numbers(10)) group by b;
|
||||
EXPLAIN SYNTAX SELECT b, quantile(0.5)(x) as a, quantile(0.9)(x) as y, quantile(0.95)(x) FROM (select number as x, number % 2 as b from numbers(10)) group by b;
|
||||
SELECT b, quantile(0.5)(x) as a, quantile(0.9)(x) as y, quantile(0.95)(x) FROM (select number as x, number % 2 as b from numbers(10)) group by b order by b;
|
||||
EXPLAIN SYNTAX SELECT b, quantile(0.5)(x) as a, quantile(0.9)(x) as y, quantile(0.95)(x) FROM (select number as x, number % 2 as b from numbers(10)) group by b order by b;
|
||||
|
||||
-- fuzzer
|
||||
SELECT quantileDeterministic(0.99)(1023) FROM datetime FORMAT Null; -- { serverError NUMBER_OF_ARGUMENTS_DOESNT_MATCH }
|
||||
|
Loading…
Reference in New Issue
Block a user