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-- Sum list of numbers | |
[["lambda", ["f"], | |
["f", "f", | |
["cons", 1, ["cons", 2, ["cons", 3, ["empty"]]]]]], | |
["lambda", ["self", "xs"], | |
["if", ["=", "xs", ["empty"]], | |
0, | |
["+", ["head", "xs"], | |
["self", "self", ["tail", "xs"]]]]]] |
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-- Sierpinski's Triangle. | |
WITH points AS ( | |
SELECT ROW, col FROM generate_series(0, 63) a(ROW) | |
CROSS JOIN generate_series(0, 63) b(col) | |
ORDER BY ROW DESC, col ASC | |
), marked_points AS ( | |
SELECT ROW, col, (CASE WHEN ROW & col != 0 | |
THEN ' ' | |
ELSE '*' | |
END) AS marker |
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0:00:00-0:01:00 Thinking | |
0:01:00-0:03:15 Wrote query to get 100 queries after a given point in time that took a long time. | |
0:03:15-0:03:30 I try running the query and get an error. There's an issue with how I'm using TIMESTAMP AT TIME ZONE in Postgres. | |
0:03:30-0:04:15 I look up the docs for TIMESTAMP. I discover the issue is I wrote TIMESTAMP AT TIME ZONE instead of TIMESTAMP WITH TIME ZONE. I then run the query and it works. | |
0:04:15-0:05:45 I scroll through the results and look at them. | |
0:05:45-0:06:45 I modify the query I have to display how much time is spent in different parts of our stack. I'm looking at how much time was spent in our master database compared to our worker databases. | |
0:06:45-0:07:00 I get a few errors from ambigious fields in the SQL query. This is because I'm joining two tables that both have columns named start_time and both have columns named data. I modify the SQL query to refer explicitly to one of the tables. | |
0:07:00-07:30:00 The query I wrote is taking a long time. I kill it and t |
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SELECT "time_bucket", | |
COUNT(*) AS value , | |
"group_field_0" | |
FROM | |
(SELECT DISTINCT ON ("time_bucket", "shardPushdown"."user_id", "group_field_0") | |
date_trunc('day', to_timestamp(("shardPushdown"."time" / 1000)) AT TIME ZONE 'America/Los_Angeles') AS "time_bucket", | |
"group_field_0" | |
FROM | |
(SELECT "eventQuery"."user_id", | |
"eventQuery"."time", |
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SELECT "time_bucket", | |
COUNT(*) AS value , | |
"group_field_0" | |
FROM | |
(SELECT DISTINCT ON ("time_bucket", | |
"shardPushdown"."user_id", | |
"group_field_0") date_trunc('day', to_timestamp(("shardPushdown"."time" / 1000)) AT TIME ZONE 'America/Los_Angeles') AS "time_bucket", | |
"group_field_0" | |
FROM | |
(SELECT "eventQuery"."user_id", |
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def base_query(): | |
return [1] | |
def recursive_query(ints): | |
return [n+1 for n in ints if n+1 <= 100] | |
def recursive_cte() | |
results = [] | |
working_table = base_query() |
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Aggregate | |
-> GroupAggregate | |
Group Key: events.user_id | |
-> Append | |
-> Index Scan using events_pi_40542511 on events | |
Index Cond: ((time >= 1476428400000) AND (time <= 1477033200000)) | |
-> Index Scan using events_pi_40542828 on events | |
Index Cond: ((time >= 1476428400000) AND (time <= 1477033200000)) |
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SELECT | |
SUM(funnel_events( | |
ARRAY_AGG(funnel_step ORDER BY time ASC, funnel_step DESC), | |
2)) AS funnel_results | |
FROM ((SELECT * | |
FROM (SELECT user_id, | |
time, | |
0 AS funnel_step | |
FROM "events" | |
WHERE type = 'click' |
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(2/5 7/51874849202 337186519813/7 3/2 19/33 253/19 17/3 31/17 41/31 29/17 29/23 | |
47/29 59/47 43/29 43/41 4087/43 71/4087 79/71 89/79 73/71 73/59 101/8833 | |
12463/101 97/73 109/97 127/109 107/97 107/103 137/107 149/137 131/107 131/127 | |
23707/131 163/23707 173/163 89/173 167/163 167/149 191/222277 256883/191 | |
181/167 199/181 223/199 197/181 197/193 229/197 239/229 227/197 227/223 | |
60491/227 257/60491 269/257 89/269 263/257 263/239 281/3850583 4143403/281 | |
277/263 307/277 313/307 293/277 293/283 331/293 347/331 317/293 317/313 | |
123197/317 359/123197 373/359 89/373 367/359 367/347 389/59105717 63937247/389 | |
383/367 409/383 421/409 401/383 401/397 433/401 443/433 431/401 431/421 | |
205193/431 461/205193 467/461 89/467 463/461 463/443 491/820232743 |
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(defun multiple (a b) | |
"Is A a multiple of B?" | |
(= (mod a b) 0)) | |
(defun next-fraction (n fractions) | |
"Returns the next value of F in the Fractran program." | |
(find-if (lambda (f) | |
(integerp (* n f))) | |
fractions)) |
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