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vim - How to delete a large block of text without counting the lines?
...ed {v}), Visual Line Mode (Line based {S-v}) and Visual Block Mode (Allows selection of blocks {C-v})
– Tom Regner
Apr 3 '11 at 18:10
|
show...
SQL Joins Vs SQL Subqueries (Performance)?
...e result i was looking for was 739 elements.
My query at first was this:
SELECT p.id,
p.fixedId,
p.azienda_id,
p.categoria_id,
p.linea,
p.tipo,
p.nome
FROM prodotto p
WHERE p.azienda_id = 2699 AND p.anno = (
SELECT MAX(p2.anno)
FROM prodotto p2
WHERE p2.fixed...
Very large matrices using Python and NumPy
...begins to struggle with anything much larger (trying to create a matrix of 50000 x 50000 fails). Obviously, this is because of the massive memory requirements.
...
Delete all data in SQL Server database
...stem stored procs */
DECLARE @name VARCHAR(128)
DECLARE @SQL VARCHAR(254)
SELECT @name = (SELECT TOP 1 [name] FROM sysobjects WHERE [type] = 'P' AND category = 0 ORDER BY [name])
WHILE @name is not null
BEGIN
SELECT @SQL = 'DROP PROCEDURE [dbo].[' + RTRIM(@name) +']'
EXEC (@SQL)
PRINT ...
How to rethrow the same exception in SQL Server
...lare @ErrorMessage nvarchar(max), @ErrorSeverity int, @ErrorState int;
select @ErrorMessage = ERROR_MESSAGE() + ' Line ' + cast(ERROR_LINE() as nvarchar(5)), @ErrorSeverity = ERROR_SEVERITY(), @ErrorState = ERROR_STATE();
if @@trancount > 0 rollback transaction;
raiserror (@ErrorMessa...
Convert timestamp in milliseconds to string formatted time in Java
...
Division is not associative: 50000 / (1000 * 60) = 0.8333333333 while 50000 / 1000 * 60= 3000.
– farnett
Feb 16 '15 at 22:05
3
...
Counting the number of True Booleans in a Python List
... my results:
>>> a = [bool(random.getrandbits(1)) for x in range(50000)]
>>> len(a)
50000
>>> a.count(False)
24884
>>> a.count(True)
25116
>>> def count_it(a):
... curr = time.time()
... counting = a.count(True)
... print("Count it = " + str(time.t...
How to remove multiple indexes from a list at the same time? [duplicate]
...e for the different ways so I performed a test on removing 5000 items from 50000 in all 3 generally different approaches, and for me numpy was the winner (if you have elements that fit in numpy):
7.5 sec for the enumerated list comprehension [4.5 sec on another PC]
0.08 sec for deleting items in r...
Increasing (or decreasing) the memory available to R processes
...program
icon (the icon on your desktop or in
your programs directory). Select
``Properties'', and then select the
``Shortcut'' tab. Look for the
``Target'' field and after the closing
quotes around the location of the R
executible, add
--max-mem-size=500M
as shown in the fig...
Redis strings vs Redis hashes to represent JSON: efficiency?
...
> redis.pipelined{ 10000.times{ |i| redis.me_set( "t:#{i}", txt[rand(50000), 63] ) } }; :done
=> :done
> ap redis.info(:memory)
{
"used_memory" => "1251944",
**"used_memory_human" => "1.19M"**, # ~ 72b per key/value
.....
}
> redis.fl...