update decimal.Decimal to apd.Decimal

[jennifersp]

Depends on dolthub/go-mysql-server#3532 and dolthub/dolt#10990

[github-actions]

	Main	PR
covering_index_scan_postgres	1488.18/s	1497.01/s	+0.5%
index_join_postgres	268.58/s	271.68/s	+1.1%
index_join_scan_postgres	287.26/s	284.96/s	-0.9%
index_scan_postgres	15.16/s	15.42/s	+1.7%
oltp_point_select	2953.74/s	2879.39/s	-2.6%
oltp_read_only	2265.77/s	2259.89/s	-0.3%
select_random_points	185.77/s	186.49/s	+0.3%
select_random_ranges	1157.42/s	1156.90/s	-0.1%
table_scan_postgres	14.73/s	15.20/s	+3.1%
types_table_scan_postgres	6.68/s	6.86/s	+2.6%

[zachmu]

Good start, but we need to standardize these values across all three packages. See specific comments.

Final PR should have tests of storing NaN, Infinity, etc. in column values and reading them back.

[github-actions]

	Main	PR
Total	42090	42090
Successful	18017	18095
Failures	24073	23995
Partial Successes1	5372	5376

	Main	PR
Successful	42.8059%	42.9912%
Failures	57.1941%	57.0088%

${\color{red}Regressions (7)}$

numeric

QUERY:          INSERT INTO num_result SELECT t1.id, t2.id, t1.val / t2.val
    FROM num_data t1, num_data t2
    WHERE t2.val != '0.0';
RECEIVED ERROR: invalid operation (errno 1105) (sqlstate HY000)

QUERY:          INSERT INTO num_result SELECT t1.id, t2.id, round(t1.val / t2.val, 80)
    FROM num_data t1, num_data t2
    WHERE t2.val != '0.0';
RECEIVED ERROR: invalid operation (errno 1105) (sqlstate HY000)

QUERY:          INSERT INTO num_result SELECT id, 0, POWER(numeric '10', LN(ABS(round(val,200))))
    FROM num_data
    WHERE val != '0.0';
RECEIVED ERROR: invalid operation (errno 1105) (sqlstate HY000)

QUERY:          SELECT a, ceil(a), ceiling(a), floor(a), round(a) FROM ceil_floor_round;
RECEIVED ERROR: could not find the following row in the result set:
        {"0.0000001", "1", "1", "0", "0"}

QUERY:          INSERT INTO num_variance VALUES (4e-500 - 1e-16383);
RECEIVED ERROR: underflow, subnormal

QUERY:          INSERT INTO num_variance VALUES (-4e-500 + 1e-16383);
RECEIVED ERROR: underflow, subnormal

subselect

QUERY:          select * from float_table
  where float_col in (select num_col from numeric_table);
RECEIVED ERROR: expected row count 3 but received 0

${\color{lightgreen}Progressions (90)}$

float4

QUERY: SELECT 'nan'::numeric::float4;

float8

QUERY: SELECT 'nan'::numeric::float8;

numeric

QUERY: INSERT INTO num_exp_div VALUES (0,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (0,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (1,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (1,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (2,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (2,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (3,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (3,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (4,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (4,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (5,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (5,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (6,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (6,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (7,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (7,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (8,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (8,1,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (9,0,'NaN');

QUERY: INSERT INTO num_exp_div VALUES (9,1,'NaN');

QUERY: INSERT INTO num_exp_ln VALUES (0,'NaN');

QUERY: INSERT INTO num_exp_ln VALUES (1,'NaN');

QUERY: INSERT INTO num_exp_log10 VALUES (0,'NaN');

QUERY: INSERT INTO num_exp_log10 VALUES (1,'NaN');

QUERY: INSERT INTO num_exp_power_10_ln VALUES (0,'NaN');

QUERY: INSERT INTO num_exp_power_10_ln VALUES (1,'NaN');

QUERY: SELECT t1.id1, t1.id2, t1.result, t2.expected
    FROM num_result t1, num_exp_div t2
    WHERE t1.id1 = t2.id1 AND t1.id2 = t2.id2
    AND t1.result != t2.expected;

QUERY: SELECT t1.id1, t1.id2, t1.result, round(t2.expected, 80) as expected
    FROM num_result t1, num_exp_div t2
    WHERE t1.id1 = t2.id1 AND t1.id2 = t2.id2
    AND t1.result != round(t2.expected, 80);

QUERY: SELECT t1.id1, t1.result, t2.expected
    FROM num_result t1, num_exp_power_10_ln t2
    WHERE t1.id1 = t2.id
    AND t1.result != t2.expected;

QUERY: SELECT 'nan'::numeric / '0';

QUERY: SELECT 'nan'::numeric % '0';

QUERY: SELECT div('nan'::numeric, '0');

QUERY: WITH v(x) AS
  (VALUES('0'::numeric),('1'),('-1'),('4.2'),('-7.777'),('1e340'),('-1e340'),
         ('inf'),('-inf'),('nan'),
         ('inf'),('-inf'),('nan'))
SELECT substring(x::text, 1, 32)
FROM v ORDER BY x;

QUERY: SELECT power('-2'::numeric, '3');

QUERY: SELECT power('-2'::numeric, '3.3');

QUERY: SELECT power('-2'::numeric, '-1.5');

QUERY: SELECT power('-inf'::numeric, '2');

QUERY: SELECT power('-inf'::numeric, '3');

Footnotes

1. These are tests that we're marking as Successful, however they do not match the expected output in some way. This is due to small differences, such as different wording on the error messages, or the column names being incorrect while the data itself is correct. ↩