diff --git a/docs/en/reference/sql/udfs_8h.md b/docs/en/reference/sql/udfs_8h.md index 9cfab05977f..33bb6238c3a 100644 --- a/docs/en/reference/sql/udfs_8h.md +++ b/docs/en/reference/sql/udfs_8h.md @@ -501,13 +501,13 @@ Compute average of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -541,13 +541,13 @@ Compute average of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -586,13 +586,13 @@ Compute average of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -634,13 +634,13 @@ Compute average of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -946,13 +946,13 @@ Compute number of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -987,13 +987,13 @@ Compute count of values grouped by category key and output string. Each group is Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -1032,13 +1032,13 @@ Compute count of values matching specified condition grouped by category key and Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -1080,13 +1080,13 @@ Compute number of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -1374,13 +1374,13 @@ Compute number of distinct values. Example: -| value | +| value | | -------- | -| 0 | -| 0 | -| 2 | -| 2 | -| 4 | +| 0 | +| 0 | +| 2 | +| 2 | +| 4 | ```sql @@ -1450,14 +1450,14 @@ It requires that all values are non-negative. Negative values will be ignored. Example: -| value | +| value | | -------- | -| 1 | -| 8 | -| 5 | -| 2 | -| 10 | -| 4 | +| 1 | +| 8 | +| 5 | +| 2 | +| 10 | +| 4 | ```sql @@ -1568,13 +1568,13 @@ It requires that values are ordered so that it can only be used with WINDOW (PAR Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -1652,11 +1652,11 @@ window w as (partition by gp order by ts rows between 3 preceding and current ro ``` -| id | gp | ts | agg | +| id | gp | ts | agg | | -------- | -------- | -------- | -------- | -| 1 | 100 | 98 | 98 | -| 2 | 100 | 99 | 99 | -| 3 | 100 | 100 | 100 | +| 1 | 100 | 98 | 98 | +| 2 | 100 | 99 | 99 | +| 3 | 100 | 100 | 100 | @@ -2259,13 +2259,13 @@ The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/Files/udfs_8h. Example: -| c1 | c2 | +| c1 | c2 | | -------- | -------- | -| 0 | 1 | -| 1 | 1 | -| 2 | 2 | -| 3 | 2 | -| 4 | 2 | +| 0 | 1 | +| 1 | 1 | +| 2 | 2 | +| 3 | 2 | +| 4 | 2 | ```sql @@ -2653,13 +2653,13 @@ Compute maximum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2696,13 +2696,13 @@ Compute maximum of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -2741,13 +2741,13 @@ Compute maximum of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -2789,13 +2789,13 @@ Compute maximum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2861,12 +2861,12 @@ Compute the median of values. Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2903,13 +2903,13 @@ Compute minimum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2946,13 +2946,13 @@ Compute minimum of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -2991,14 +2991,14 @@ Compute minimum of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 1 | true | y | -| 4 | true | x | -| 3 | true | y | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 1 | true | y | +| 4 | true | x | +| 3 | true | y | ```sql @@ -3040,13 +3040,13 @@ Compute minimum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -3176,12 +3176,12 @@ select col1, cond, gp, nth_value_where(col1, 2, cond) over (partition by gp orde ``` -| col1 | cond | gp | agg | +| col1 | cond | gp | agg | | -------- | -------- | -------- | -------- | -| 1 | true | 100 | NULL | -| 2 | false | 100 | NULL | -| 3 | NULL | 100 | NULL | -| 4 | true | 100 | 4 | +| 1 | true | 100 | NULL | +| 2 | false | 100 | NULL | +| 3 | NULL | 100 | NULL | +| 4 | true | 100 | 4 | @@ -3810,12 +3810,12 @@ Alias function: `std`, `stddev_samp` Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -3852,12 +3852,12 @@ Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4013,13 +4013,13 @@ Compute sum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4053,13 +4053,13 @@ Compute sum of values grouped by category key and output string. Each group is r Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -4098,13 +4098,13 @@ Compute sum of values matching specified condition grouped by category key and o Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -4146,13 +4146,13 @@ Compute sum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4262,13 +4262,13 @@ Compute top k of values and output string separated by comma. The outputs are so Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | +| 4 | ```sql @@ -4319,11 +4319,11 @@ SELECT key, top1_ratio(key) over () as ratio FROM t1; ``` -| key | ratio | +| key | ratio | | -------- | -------- | -| 1 | 1.0 | -| 2 | 0.5 | -| NULL | 0.5 | +| 1 | 1.0 | +| 2 | 0.5 | +| NULL | 0.5 | @@ -4360,15 +4360,15 @@ Compute average of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4420,15 +4420,15 @@ Compute count of values matching specified condition grouped by category key. Ou Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4480,15 +4480,15 @@ Compute maximum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4540,15 +4540,15 @@ Compute minimum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4602,15 +4602,15 @@ For each group, ratio value is `value` expr count matches condtion divide total Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 2 | true | x | -| 4 | true | x | -| 1 | true | y | -| 3 | false | y | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 2 | true | x | +| 4 | true | x | +| 1 | true | y | +| 3 | false | y | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4661,15 +4661,15 @@ Compute sum of values matching specified condition grouped by category key. Outp Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4721,15 +4721,15 @@ Compute average of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4781,15 +4781,15 @@ Compute count of values matching specified condition grouped by category key. Ou Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | true | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | true | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4841,15 +4841,15 @@ Compute maximum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4901,15 +4901,15 @@ Compute minimum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | true | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | true | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4963,15 +4963,15 @@ For each group, ratio value is `value` expr count matches condtion divide total Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 2 | true | x | -| 4 | true | x | -| 1 | true | y | -| 3 | false | y | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 2 | true | x | +| 4 | true | x | +| 1 | true | y | +| 3 | false | y | +| 5 | true | z | +| 6 | true | z | ```sql @@ -5022,15 +5022,15 @@ Compute sum of values matching specified condition grouped by category key. Outp Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -5245,11 +5245,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / n` Example: -| value | +| value | | -------- | -| 0 | -| 3 | -| 6 | +| 0 | +| 3 | +| 6 | ```sql @@ -5286,11 +5286,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)` Example: -| value | +| value | | -------- | -| 0 | -| 3 | -| 6 | +| 0 | +| 3 | +| 6 | ```sql diff --git a/docs/zh/openmldb_sql/udfs_8h.md b/docs/zh/openmldb_sql/udfs_8h.md index 9cfab05977f..33bb6238c3a 100644 --- a/docs/zh/openmldb_sql/udfs_8h.md +++ b/docs/zh/openmldb_sql/udfs_8h.md @@ -501,13 +501,13 @@ Compute average of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -541,13 +541,13 @@ Compute average of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -586,13 +586,13 @@ Compute average of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -634,13 +634,13 @@ Compute average of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -946,13 +946,13 @@ Compute number of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -987,13 +987,13 @@ Compute count of values grouped by category key and output string. Each group is Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -1032,13 +1032,13 @@ Compute count of values matching specified condition grouped by category key and Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -1080,13 +1080,13 @@ Compute number of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -1374,13 +1374,13 @@ Compute number of distinct values. Example: -| value | +| value | | -------- | -| 0 | -| 0 | -| 2 | -| 2 | -| 4 | +| 0 | +| 0 | +| 2 | +| 2 | +| 4 | ```sql @@ -1450,14 +1450,14 @@ It requires that all values are non-negative. Negative values will be ignored. Example: -| value | +| value | | -------- | -| 1 | -| 8 | -| 5 | -| 2 | -| 10 | -| 4 | +| 1 | +| 8 | +| 5 | +| 2 | +| 10 | +| 4 | ```sql @@ -1568,13 +1568,13 @@ It requires that values are ordered so that it can only be used with WINDOW (PAR Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -1652,11 +1652,11 @@ window w as (partition by gp order by ts rows between 3 preceding and current ro ``` -| id | gp | ts | agg | +| id | gp | ts | agg | | -------- | -------- | -------- | -------- | -| 1 | 100 | 98 | 98 | -| 2 | 100 | 99 | 99 | -| 3 | 100 | 100 | 100 | +| 1 | 100 | 98 | 98 | +| 2 | 100 | 99 | 99 | +| 3 | 100 | 100 | 100 | @@ -2259,13 +2259,13 @@ The offset in window is `nth_value()`, not `[lag()](/openmldb_sql/Files/udfs_8h. Example: -| c1 | c2 | +| c1 | c2 | | -------- | -------- | -| 0 | 1 | -| 1 | 1 | -| 2 | 2 | -| 3 | 2 | -| 4 | 2 | +| 0 | 1 | +| 1 | 1 | +| 2 | 2 | +| 3 | 2 | +| 4 | 2 | ```sql @@ -2653,13 +2653,13 @@ Compute maximum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2696,13 +2696,13 @@ Compute maximum of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -2741,13 +2741,13 @@ Compute maximum of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -2789,13 +2789,13 @@ Compute maximum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2861,12 +2861,12 @@ Compute the median of values. Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2903,13 +2903,13 @@ Compute minimum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -2946,13 +2946,13 @@ Compute minimum of values grouped by category key and output string. Each group Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -2991,14 +2991,14 @@ Compute minimum of values matching specified condition grouped by category key a Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 1 | true | y | -| 4 | true | x | -| 3 | true | y | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 1 | true | y | +| 4 | true | x | +| 3 | true | y | ```sql @@ -3040,13 +3040,13 @@ Compute minimum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -3176,12 +3176,12 @@ select col1, cond, gp, nth_value_where(col1, 2, cond) over (partition by gp orde ``` -| col1 | cond | gp | agg | +| col1 | cond | gp | agg | | -------- | -------- | -------- | -------- | -| 1 | true | 100 | NULL | -| 2 | false | 100 | NULL | -| 3 | NULL | 100 | NULL | -| 4 | true | 100 | 4 | +| 1 | true | 100 | NULL | +| 2 | false | 100 | NULL | +| 3 | NULL | 100 | NULL | +| 4 | true | 100 | 4 | @@ -3810,12 +3810,12 @@ Alias function: `std`, `stddev_samp` Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -3852,12 +3852,12 @@ Compute population standard deviation of values, i.e., `sqrt( sum((x_i - avg)^2) Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4013,13 +4013,13 @@ Compute sum of values. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4053,13 +4053,13 @@ Compute sum of values grouped by category key and output string. Each group is r Example: -| value | catagory | +| value | catagory | | -------- | -------- | -| 0 | x | -| 1 | y | -| 2 | x | -| 3 | y | -| 4 | x | +| 0 | x | +| 1 | y | +| 2 | x | +| 3 | y | +| 4 | x | ```sql @@ -4098,13 +4098,13 @@ Compute sum of values matching specified condition grouped by category key and o Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | ```sql @@ -4146,13 +4146,13 @@ Compute sum of values match specified condition. Example: -| value | +| value | | -------- | -| 0 | -| 1 | -| 2 | -| 3 | -| 4 | +| 0 | +| 1 | +| 2 | +| 3 | +| 4 | ```sql @@ -4262,13 +4262,13 @@ Compute top k of values and output string separated by comma. The outputs are so Example: -| value | +| value | | -------- | -| 1 | -| 2 | -| 3 | -| 4 | -| 4 | +| 1 | +| 2 | +| 3 | +| 4 | +| 4 | ```sql @@ -4319,11 +4319,11 @@ SELECT key, top1_ratio(key) over () as ratio FROM t1; ``` -| key | ratio | +| key | ratio | | -------- | -------- | -| 1 | 1.0 | -| 2 | 0.5 | -| NULL | 0.5 | +| 1 | 1.0 | +| 2 | 0.5 | +| NULL | 0.5 | @@ -4360,15 +4360,15 @@ Compute average of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4420,15 +4420,15 @@ Compute count of values matching specified condition grouped by category key. Ou Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4480,15 +4480,15 @@ Compute maximum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4540,15 +4540,15 @@ Compute minimum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4602,15 +4602,15 @@ For each group, ratio value is `value` expr count matches condtion divide total Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 2 | true | x | -| 4 | true | x | -| 1 | true | y | -| 3 | false | y | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 2 | true | x | +| 4 | true | x | +| 1 | true | y | +| 3 | false | y | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4661,15 +4661,15 @@ Compute sum of values matching specified condition grouped by category key. Outp Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4721,15 +4721,15 @@ Compute average of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4781,15 +4781,15 @@ Compute count of values matching specified condition grouped by category key. Ou Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | true | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | true | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4841,15 +4841,15 @@ Compute maximum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | false | y | -| 2 | false | x | -| 3 | true | y | -| 4 | true | x | -| 5 | true | z | -| 6 | false | z | +| 0 | true | x | +| 1 | false | y | +| 2 | false | x | +| 3 | true | y | +| 4 | true | x | +| 5 | true | z | +| 6 | false | z | ```sql @@ -4901,15 +4901,15 @@ Compute minimum of values matching specified condition grouped by category key. Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | true | x | -| 3 | true | y | -| 4 | false | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | true | x | +| 3 | true | y | +| 4 | false | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -4963,15 +4963,15 @@ For each group, ratio value is `value` expr count matches condtion divide total Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 2 | true | x | -| 4 | true | x | -| 1 | true | y | -| 3 | false | y | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 2 | true | x | +| 4 | true | x | +| 1 | true | y | +| 3 | false | y | +| 5 | true | z | +| 6 | true | z | ```sql @@ -5022,15 +5022,15 @@ Compute sum of values matching specified condition grouped by category key. Outp Example: -| value | condition | catagory | +| value | condition | catagory | | -------- | -------- | -------- | -| 0 | true | x | -| 1 | true | y | -| 2 | false | x | -| 3 | false | y | -| 4 | true | x | -| 5 | true | z | -| 6 | true | z | +| 0 | true | x | +| 1 | true | y | +| 2 | false | x | +| 3 | false | y | +| 4 | true | x | +| 5 | true | z | +| 6 | true | z | ```sql @@ -5245,11 +5245,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / n` Example: -| value | +| value | | -------- | -| 0 | -| 3 | -| 6 | +| 0 | +| 3 | +| 6 | ```sql @@ -5286,11 +5286,11 @@ Compute population variance of values, i.e., `sum((x_i - avg)^2) / (n-1)` Example: -| value | +| value | | -------- | -| 0 | -| 3 | -| 6 | +| 0 | +| 3 | +| 6 | ```sql