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df563e0c03
main.derived_cond_pushdown: Move all 10.3 tests to the end, trim trailing white space, and add an "End of 10.3 tests" marker. Add --sorted_result to tests where the ordering is not deterministic. main.win_percentile: Add --sorted_result to tests where the ordering is no longer deterministic.
62 lines
1.6 KiB
Text
62 lines
1.6 KiB
Text
create table t1 (
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pk int primary key,
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a int,
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b int
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);
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insert into t1 values
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( 1 , 0, 10),
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( 2 , 0, 10),
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( 3 , 1, 10),
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( 4 , 1, 10),
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( 8 , 2, 10),
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( 5 , 2, 20),
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( 6 , 2, 20),
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( 7 , 2, 20),
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( 9 , 4, 20),
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(10 , 4, 20);
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select a,
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percent_rank() over (order by a),
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cume_dist() over (order by a)
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from t1;
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a percent_rank() over (order by a) cume_dist() over (order by a)
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0 0.0000000000 0.2000000000
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0 0.0000000000 0.2000000000
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1 0.2222222222 0.4000000000
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1 0.2222222222 0.4000000000
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2 0.4444444444 0.8000000000
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2 0.4444444444 0.8000000000
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2 0.4444444444 0.8000000000
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2 0.4444444444 0.8000000000
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4 0.8888888889 1.0000000000
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4 0.8888888889 1.0000000000
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select pk,
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percent_rank() over (order by pk),
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cume_dist() over (order by pk)
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from t1 order by pk;
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pk percent_rank() over (order by pk) cume_dist() over (order by pk)
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1 0.0000000000 0.1000000000
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2 0.1111111111 0.2000000000
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3 0.2222222222 0.3000000000
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4 0.3333333333 0.4000000000
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5 0.4444444444 0.5000000000
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6 0.5555555556 0.6000000000
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7 0.6666666667 0.7000000000
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8 0.7777777778 0.8000000000
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9 0.8888888889 0.9000000000
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10 1.0000000000 1.0000000000
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select a,
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percent_rank() over (partition by a order by a),
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cume_dist() over (partition by a order by a)
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from t1;
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a percent_rank() over (partition by a order by a) cume_dist() over (partition by a order by a)
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0 0.0000000000 1.0000000000
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0 0.0000000000 1.0000000000
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1 0.0000000000 1.0000000000
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1 0.0000000000 1.0000000000
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2 0.0000000000 1.0000000000
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2 0.0000000000 1.0000000000
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2 0.0000000000 1.0000000000
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2 0.0000000000 1.0000000000
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4 0.0000000000 1.0000000000
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4 0.0000000000 1.0000000000
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drop table t1;
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