Create a table to represent tree nodes.
CREATE TABLE `tree_node` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`data_body` text,
node_deleted
datetime DEFAULT NULL,
mysqlslap --create-schema="tests" \ | |
--concurrency=4 \ | |
--query="insert into test_inserts_with_primary_key select null id, md5(rand()) text_field_1, md5(rand()) text_field_2, curdate() - interval round(rand() * 200) day created_at" \n | |
--number-of-queries=10000000 \ | |
--iterations=1 \ | |
-uroot -p | |
mysqlslap --create-schema="tests" \ | |
--concurrency=4 \ | |
--query="insert into test_inserts_with_primary_key select 10129 id, md5(rand()) text_field_1, md5(rand()) text_field_2, curdate() - interval round(rand() * 200) day created_at" \n |
# Run on Master | |
# Replace slave-ip and master-ip with actual ip addresses of those machines | |
CREATE USER repl; | |
GRANT REPLICATION SLAVE ON *.* TO repl_user@'slave-ip' IDENTIFIED BY 'passwd'; | |
# Run on Slave | |
CHANGE MASTER TO MASTER_HOST = 'master-ip', MASTER_PORT = 3306, MASTER_USER = 'repl', MASTER_PASSWORD = 'passwd'; | |
START SLAVE; | |
# To check the Status of Replication |
import pandas as pd | |
from sklearn.feature_extraction.text import CountVectorizer | |
vectorizer = CountVectorizer() | |
corpus = [ 'This is a sentence', | |
'Another sentence is here', | |
'Wait for another sentence', | |
'The sentence is coming', | |
'The sentence has come' | |
] |
create type order_status as enum ( | |
'placed', | |
'accepted', | |
'cancelled_by_customer', | |
'cancelled_by_restaurant', | |
'delivered' | |
); | |
drop table if exists orders; | |
create table orders ( |
select name, | |
unnest(schedule), | |
unnest(pay_by_quarter) | |
from sal_emp; |
create table array_fn (test_array text[]); | |
insert into array_fn values ('{This,Is,What,Bothers,Me}'); | |
select test_array[3]::varchar from array_fn; |
create table sal_emp ( | |
name text, | |
pay_by_quarter integer[], | |
schedule text[][] | |
); | |
insert into sal_emp | |
values ('Bill', | |
'{10000, 10000, 10000, 10000}', | |
'{{"meeting", "lunch"}, {"training", "presentation"}}'); |
select edge_id, | |
(dp).path[1] As index, | |
ST_AsText((dp).geom) As wktnode | |
from (select 1 As edge_id, | |
ST_DumpPoints(ST_GeomFromText('LINESTRING(1 2, 3 4, 10 10)')) as dp | |
union all | |
select 2 As edge_id, | |
ST_DumpPoints(ST_GeomFromText('LINESTRING(3 5, 5 6, 9 10)')) as dp | |
) as foo; |
drop function if exists transformation_utils.remove_invalid_characters (p_string text); | |
create or replace function transformation_utils.remove_invalid_characters (p_string text) | |
returns text AS | |
$body$ | |
declare | |
c text; | |
begin | |
select replace(p_string,'�','') into c; | |
return c; | |
end; |