Update multiple rows with different values in a single SQL query by Ciro Santilli 35 Updated 2024-12-23 +Created 1970-01-01
This happens when you calculate a bunch of values on your program, and then want to save the to SQL.
Vertebrates minus tetrapods.
This paraphyletic subgroup is easy to form the "acquatic only" (fishes) vs "things that come out of water" (tetrapods). Though mudfish make that distinction harder.
Which kind of makes sense, why would you want for limbs unless you are going to stay out of water!
sqlite3 ':memory:' 'WITH t (i) AS (VALUES (-1), (-1), (-2)) SELECT *, row_number() over () FROM t'
-1|1
-1|2
-2|3
With a possible output:
partition by
:sqlite3 ':memory:' 'WITH t (i) AS (VALUES (-1), (-1), (-2)) SELECT *, row_number() over ( partition by i ) FROM t'
-2|1
-1|1
-1|2
rm -f tmp.sqlite
sqlite3 tmp.sqlite "create table t (id integer, val integer)"
sqlite3 tmp.sqlite <<EOF
insert into t values
(0, 0),
(1, 5),
(2, 10),
(3, 14),
(4, 15),
(5, 16),
(6, 20),
(7, 25),
(8, 29),
(9, 30),
(10, 30),
(11, 31),
(12, 35),
(13, 40)
EOF
Show how many neighbours each column has with Output:
val
between val - 2
and val + 2
inclusive:sqlite3 tmp.sqlite <<EOF
SELECT id, val, COUNT(*) OVER (
ORDER BY val RANGE BETWEEN 2 PRECEDING AND 2 FOLLOWING
) FROM t;
EOF
0|0|1
1|5|1
2|10|1
3|14|3
4|15|3
5|16|3
6|20|1
7|25|1
8|29|4
9|30|4
10|30|4
11|31|4
12|35|1
13|40|1
val - 1
and val + 1
inclusive instead:sqlite3 tmp.sqlite <<EOF
SELECT id, val, COUNT(*) OVER (
ORDER BY val RANGE BETWEEN 1 PRECEDING AND 1 FOLLOWING
) FROM t;
EOF
0|0|1
1|5|1
2|10|1
3|14|2
4|15|3
5|16|2
6|20|1
7|25|1
8|29|3
9|30|4
10|30|4
11|31|3
12|35|1
13|40|1
There seems to be no analogue to HAVING for window functions, so we can just settle for a subquery for once, e.g.:which outputs:
sqlite3 tmp.sqlite <<EOF
SELECT * FROM (
SELECT id, val, COUNT(*) OVER (
ORDER BY val RANGE BETWEEN 1 PRECEDING AND 1 FOLLOWING
) as c FROM t
) WHERE c > 2
EOF
4|15|3
8|29|3
9|30|4
10|30|4
11|31|3
stackoverflow.com/questions/17046204/how-to-find-the-boundaries-of-groups-of-contiguous-sequential-numbers/17046749#17046749 just works, even in SQLite which supports all quoting types known to man including
[]
for compatibility with insane RDBMSs!Here's a slightly saner version:
rm -f tmp.sqlite
sqlite3 tmp.sqlite "create table mytable (id integer primary key autoincrement, number integer, status integer)"
sqlite3 tmp.sqlite <<EOF
insert into mytable(number, status) values
(100,0),
(101,0),
(102,0),
(103,0),
(104,1),
(105,1),
(106,0),
(107,0),
(1014,0),
(1015,0),
(1016,1),
(1017,0)
EOF
sqlite3 tmp.sqlite <<EOF
SELECT
MIN(id) AS "id",
MIN(number) AS "from",
MAX(number) AS "to"
FROM (
SELECT ROW_NUMBER() OVER (ORDER BY number) - number AS grp, id, number
FROM mytable
WHERE status = 0
)
GROUP BY grp
ORDER BY MIN(number)
EOF
output:
1|100|103
7|106|107
9|1014|1015
12|1017|1017
To get only groups of length greater than 1:
sqlite3 tmp.sqlite <<EOF
SELECT "id", "from", "to", "to" - "from" + 1 as "len" FROM (
SELECT
MIN("id") AS "id",
MIN(number) AS "from",
MAX(number) AS "to"
FROM (
SELECT ROW_NUMBER() OVER (ORDER BY "number") - "number" AS "grp", "id", "number"
FROM "mytable"
WHERE "status" = 0
)
GROUP BY "grp"
ORDER BY MIN("number")
) WHERE "len" > 1
EOF
Output:
1|100|103|4
7|106|107|2
9|1014|1015|2
- www.quora.com/Will-Google-open-source-AlphaGo Will Google open source AlphaGo?
- www.nature.com/articles/nature16961 Mastering the game of Go with deep neural networks and tree search by Silver et al. (2016), published without source code
2013 DNS Census virtual host cleanup heuristic keyword searches by Ciro Santilli 35 Updated 2024-12-23 +Created 1970-01-01
There are two keywords that are killers: "news" and "world" and their translations or closely related words. Everything else is hard. So a good start is:
grep -e news -e noticias -e nouvelles -e world -e global
iran + football:
- iranfootballsource.com: the third hit for this area after the two given by Reuters! Epic.
3 easy hits with "noticias" (news in Portuguese or Spanish"), uncovering two brand new ip ranges:
- 66.45.179.205 noticiasporjanua.com
- 66.237.236.247 comunidaddenoticias.com
- 204.176.38.143 noticiassofisticadas.com
Let's see some French "nouvelles/actualites" for those tumultuous Maghrebis:
- 216.97.231.56 nouvelles-d-aujourdhuis.com
news + world:
- 210.80.75.55 philippinenewsonline.net
news + global:
- 204.176.39.115 globalprovincesnews.com
- 212.209.74.105 globalbaseballnews.com
- 212.209.79.40: hydradraco.com
OK, I've decided to do a complete Wayback Machine CDX scanning of
news
... Searching for .JAR
or https.*cgi-bin.*\.cgi
are killers, particularly the .jar hits, here's what came out:- 62.22.60.49 telecom-headlines.com
- 62.22.61.206 worldnewsnetworking.com
- 64.16.204.55 holein1news.com
- 66.104.169.184 bcenews.com
- 69.84.156.90 stickshiftnews.com
- 74.116.72.236 techtopnews.com
- 74.254.12.168 non-stop-news.net
- 193.203.49.212 inews-today.com
- 199.85.212.118 just-kidding-news.com
- 207.210.250.132 aeronet-news.com
- 212.4.18.129 sightseeingnews.com
- 212.209.90.84 thenewseditor.com
- 216.105.98.152 modernarabicnews.com
Wayback Machine CDX scanning of "world":
- 66.104.173.186 myworldlymusic.com
"headline": only 140 matches in 2013-dns-census-a-novirt.csv and 3 hits out of 269 hits. Full inspection without CDX led to no new hits.
"today": only 3.5k matches in 2013-dns-census-a-novirt.csv and 12 hits out of 269 hits, TODO how many on those on 2013-dns-census-a-novirt? No new hits.
"world", "global", "international", and spanish/portuguese/French versions like "mondo", "mundo", "mondi": 15k matches in 2013-dns-census-a-novirt.csv. No new hits.
iraniangoals.com JavaScript reverse engineering by Ciro Santilli 35 Updated 2024-12-23 +Created 1970-01-01
Some reverse engineering was done at: twitter.com/hackerfantastic/status/1575505438111571969?lang=en.
Notably, the password is hardcoded and its hash is stored in the JavaScript itself. The result is then submitted back via a POST request to
/cgi-bin/goal.cgi
.TODO: how is the SHA calculated? Appears to be manual.
Useful for testing: stackoverflow.com/questions/21819183/how-to-use-ctes-with-update-delete-on-sqlite
sqlite3 :memory: 'WITH t (i, j) AS (VALUES (1, -1), (2, -2)) SELECT * FROM t'
Just imagine this together with a Drosophila connectome on a single brain-in-the-loop simulation.
TODO clear example of the computational problem that it solves.
There are unlisted articles, also show them or only show them.