We are working on IoT device, each device will stores about 20 mb of data each month and we have 20K and more IoT devices in the filed. we need storage for 7 years. So which is best way of creating database for each device or one database with one table or one database with multiple ta..
Tag : mysql
I have this type of structure in my MySQL dat..
Currently I have database with mysql(v 5.7.44) tables with collation utf8_unic..
Currently I have database with mysql(v 5.7.44) tables with collation utf8_unic..
select productline, customerName, totale from
(SELECT productLines.productline, customers.customerName, sum(quantityOrdered) as totale
from customers, orders, productlines, products, orderdetails
WHERE customers.customerNumber = orders.customerNumber
and orderdetails.orderNumber= orders.orderNumber
and orderdetails.productCode = products.productCode
and productlines.productLine= products.productLine
GROUP by productlines.productline, customers.customerName
order by sum(quantityOrdered) desc )
as lista
group by produc..
I want to get 50% randomly form the result set. What I’ve tried which is ..
Every transaction in Table A has related transactions.
The related transactions are shown in Table B.
Table C has the corresponding type name.
Need to pull all transactions where Type Payment_GP does not ..
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At line:1 ..
I have a Percona 8 MySQL Server, running via Docker, acting as the backing data store for a heavily used service.
On the hour, a script will run that reads a value from a virtual column of approximately 1.7 million rows (Table size estimate of 2.3 GiB) and inserts this particular value and the associated key data into another table that the system otherwise only reads from. The virtual column is a JSON lookup json_extract(jsonData, '$.root.interestingValue') and has the GENERATED flag.
The idea behind this is to put less pressure on the table that is considered live and updated regularly, when users are only interested in a few specific values and retrieving the absolute latest value is not req..
Today I have encountered an extremely counter-intuitive behavior of < operator in MySQL and I have no ide..