jonathanvx

delimiter $$
drop procedure if exists update_by_date$$
CREATE PROCEDURE update_by_date(IN startdate DATE, IN enddate date)
PROC:BEGIN
 DECLARE idate date;
 DECLARE cr BIGINT;
 DECLARE done INT DEFAULT FALSE;
 
 -- requires data_dimension table - be found in my github repo
 DECLARE curs1 CURSOR FOR SELECT date FROM date_dimension WHERE date between startdate and enddate;

jonathanvx

echo $sql | mysql 2>&1 | awk '{print $0 ">", sql}' sql="$sql" >> $errorlog

jonathanvx

#!/bin/bash
MAX1=`mysql -e"select @@global.max_connections;" -N -B`
MAX=$[$MAX1 - 5]
echo "select table_name from information_schema.tables where engine='myisam' and table_schema='dbname' order by DATA_LENGTH desc limit $MAX;" | mysql --database=dbname -B -N | awk '{print "mysql dbname -e\"set sql_log_bin=0; ALTER TABLE", $1, "engine=innodb;\" &"}' > /tmp/massconvert.sh
bash /tmp/massconvert.sh
rm -f /tmp/massconvert.sh
echo "select table_name from information_schema.tables where engine='myisam' and table_schema='dbname' order by DATA_LENGTH desc limit $MAX,99999;" | mysql --database=dbname -B -N | awk '{print "set sql_log_bin=0; ALTER TABLE", $1, "engine=innodb;"}' | mysql --database=dbname -f &

jonathanvx

for /r %%i in (*.mov) do "C:\Program Files\Handbrake\HandBrakeCLI.exe" -i "%%i" -t 1 -o "D:\%%~ni.mp4" -f mp4 --strict-anamorphic  -e x264 -b 3500 -2  -T  --vfr  -a 1 -E faac -B 128 -6 dpl2 -R 44.1 -D 0 --gain=0 --audio-copy-mask none --audio-fallback ffac3 -x ref=6:weightp=1:rc-lookahead=10:b-adapt=2:bframes=6:me=umh:subq=9:merange=32

jonathanvx

127.0.0.1      100PercentFedUp.com
127.0.0.1      21stcenturywire.com
127.0.0.1      369news.net
127.0.0.1      70news.wordpress.com
127.0.0.1      asheepnomore.net
127.0.0.1      abcnews.com.co
127.0.0.1      www.aim.org
127.0.0.1      latitudes.org
127.0.0.1      www.activistpost.com
127.0.0.1      addictinginfo.org

jonathanvx

/*
'year' and 'month' columns are in seperate integer columns.
This creates an issue when wanting reports between two different dates.
How can we fix this? One solution, a generated column with an index on it. 
*/
MBP@landregistry> select * from summary order by total_price desc limit 3;
+----------+------+-------+------------+----------------+--------------+-------------+
| postcode | year | month | county     | district       | total_price  | houses_sold |
+----------+------+-------+------------+----------------+--------------+-------------+
| W1T      | 2015 |     7 | CAMDEN     | GREATER LONDON | 367075000.00 |           7 |

jonathanvx

#!/bin/bash
(cat <<EOF
[mysqld]

## Performance Specific ##
##########################

innodb_buffer_pool_size 	= 12G		###	How much innodb data to store in memory. Higher = faster performance
innodb_file_per_table		= 1		###	Each innodb table is its own file on disk. 
innodb_flush_log_at_trx_commit 	= 2		### Flushes to disk in batches instead of per change

jonathanvx

-- based on http://stackoverflow.com/questions/21767780/how-to-find-size-of-database-schema-table-in-redshift
SELECT name AS table_name, ROUND((COUNT(*) / 1024.0),2) as "Size in Gigabytes"
FROM stv_blocklist
INNER JOIN
(SELECT DISTINCT id, name FROM stv_tbl_perm) names
ON names.id = stv_blocklist.tbl
GROUP BY name
ORDER BY "Size in Gigabytes" DESC

jonathanvx

#!/bin/bash

cmd='aws rds modify-db-parameter-group --db-parameter-group-name mysql57-performance'
$cmd --parameters="ParameterName=tmp_table_size, ParameterValue=67108864, ApplyMethod=pending-reboot" 
$cmd --parameters="ParameterName=max_heap_table_size, ParameterValue=67108864, ApplyMethod=pending-reboot" 
#Max size a tmp table can be in memory
$cmd --parameters="ParameterName=join_buffer_size, ParameterValue=2097152, ApplyMethod=pending-reboot" 
#Helps when a join doesn’t have an index or an index wont be more helpful than a full table scan
$cmd --parameters="ParameterName=sort_buffer_size, ParameterValue=2097152, ApplyMethod=pending-reboot"
#Helps with ORDER BY queries.

jonathanvx

import timeout_filter as tf

def test_timeout_filter():
#TODO: create fake data with expected results from timeout_filter
  test_data_users = "{  }"
  test_data_venues= "{  }"
 
  print tf.filter_venues(test_data_users, test_data_venues)
#TODO: compare filter results with expected results