Working with Mysql, are stored procedures suitable for populating 6 different tables belonging to a database?
Data is listed in a CSV file.
By the way should I have 6 different CSV files or just a single one?
My idea is that I'd like to avoid the LOAD DATA LOCAL INFILE command.
Thanks very much
Mauro
I think this is not a good idea becouse it would be plataform dependent, and you can't check important things from SP. I'd consider bash scripting.
Related
I have a .sql file from Oracle which contains create table/index statements and a lot of insert statements(around 1M insert).
I can manually modify the create table/index part(not too much), but for the insert part there are some Oracle functions like to_date.
I know MySql has a similar function STR_TO_DATE but the usage of the parameter is different.
I can connect to MySQL, but the .sql file is the only thing I got from Oracle.
Is there any way I can import this Oracle .sql file into MySQL?
Thanks.
Although the above job can be done by manually editing the script appropriately however there are products available which can be of use. Refer to the link for more information on one such product.
P.S. I am not affiliated in any way to the product
Since you mention about insert script basically i think you will be inserting data for this you can use any ETL tool, like open source tool like Pentaho data integrator, pretty simple to do, just search table to table transformation from different database connection on youtube to learn you should be able to connect to both mysql and oracle database else this wont help, but all the table structures you should create manually in the source database for data - you can just load it using ETL, no need to edit for every single line of insert if its more than 100 may be its very painful thing to do.
Intro
I've searched all around about this problem, but I didn't really found a source of knowledge about this, so I'm sorry if this problem seems basic to you, but for me is rather quite intriguing due the fact that I'm having hard time to guess what keywords to use on google in order to retrieve proper info.
Problem Description :
As a matter of fact, i have to issues that i don't know how to deal in a MySQL instance installed in a laptop in a windows environment:
I have a DB in MySQL with 50 tables, of with 15 or 20 tables are tables with original data. The other tables were tables that i generated from the original data tables, in order to properly create tables that would allow me to analyze data in PowerBI. The original data tables are fed by dumps from a ERP Database.
My issue is the following:
How would one automate the process of receiving cumulative txt/csv files (via pen-drive or any other transfer mechanism), store those files into a folder and then update the existing tables with the new information? Is there any reference of best practices to deal with such a scenario?
How can i maintain the good shape of my database with the successive data integration, I mean, how can I make my database scalable and responsive?
Can you point me some sources that would help me with this?
At the moment I imported data into tables, in 2 steps:
1st - I created the table structure with the Workbench import wizard help ( I had to do it this way because the tables have a lot of fields - dozens of them, literally, and those fields need to be in the database). I also inserted primary keys and indexes in those tables;
2nd - I Managed to load the data from the files into those tables, using LOAD DATA IN FILE command.
Some of the fields of the tables created with the import wizard, were created as data type text, with is not necessary in this scenario. I would like to revert those fields to data type NVARCHAR(255) or something, However there are a lot of field to alter the data type and in multiple tables at this point, and i was wondering if i can write a query to do the job of creating all the ALTER TABLES statements i need.
So my issue here is: is it safe to alter the data type in multiple fields in multiple columns (in this case i would like to change fields with datatype text to NAVARCHAR(255))? What is the best way to do this? Can you point me to some sources or best practices for this, please?
Thank you, in advance, for your help.
Cheers
You need a scripting language, not a UI. See mysql commandline tool, the shell of your OS, etc, etc.
DROP DATABASE and reCREATE it
LOAD DATA
Massage the data to get the columns cleaner than what the load data provided
Sic the BI tool on the data.
If you want to discuss Step 3, we need details about what transformations are needed between step 2 and step 4. That includes providing the format or schema for steps 2 and 4.
Firstly, I understand that attempting to do this from MySQL itself is not allowed:
http://dev.mysql.com/doc/refman/5.6/en/stored-program-restrictions.html
When I try to use LOAD DATA INFILE 'c:/data.csv' ... , I get the "LOAD DATA IS NOT ALLOWED IN STORED PROCEDURES".
I am a beginner with moving data around MySQL and I realize this may not be a task it was designed to handle. Therefore, what approach should I use to grab data from a CSV file and append it to a table at a regular time interval? (I have researched a little bit about CRON, but that is for UNIX systems only and we are using a Windows based OS.)
You can run CRON job on windows also. I have found a couple of links after searching. Please look in to these links:
waytocode.com/2012/setup-cron-job-on-windows-server
http://stackoverflow.com/questions/24035090/run-cron-job-on-php-script-on-localhost-in-windows
I received over 100GB of data with 67million records from one of the retailers. My objective is to do some market-basket analysis and CLV. This data is a direct sql dump from one of the tables with 70 columns. I'm trying to find a way to extract information from this data as managing itself in a small laptop/desktop setup is becoming time consuming. I considered the following options
Parse the data and convert the same to CSV format. File size might come down to around 35-40GB as more than half of the information in each records is column names. However, I may still have to use a db as I cant use R or Excel with 66 million records.
Migrate the data to mysql db. Unfortunately I don't have the schema for the table and I'm trying to recreate the schema looking at the data. I may have to replace to_date() in the data dump to str_to_date() to match with MySQL format.
Are there any better way to handle this? All that I need to do is extract the data from the sql dump by running some queries. Hadoop etc. are options, but I dont have the infrastructure to setup a cluster. I'm considering mysql as I have storage space and some memory to spare.
Suppose I go in the MySQL path, how would I import the data? I'm considering one of the following
Use sed and replace to_date() with appropriate str_to_date() inline. Note that, I need to do this for a 100GB file. Then import the data using mysql CLI.
Write python/perl script that will read the file, convert the data and write to mysql directly.
What would be faster? Thank you for your help.
In my opinion writing a script will be faster, because you are going to skip the SED part.
I think that you need to setup a server on a separate PC, and run the script from your laptop.
Also use tail to faster get a part from the bottom of this large file, in order to test your script on that part before you run it on this 100GB file.
I decided to go with the MySQL path. I created the schema looking at the data (had to increase a few of the column size as there were unexpected variations in the data) and wrote a python script using MySQLdb module. Import completed in 4hr 40mins on my 2011 MacBook Pro with 8154 failures out of 67 million records. Those failures were mostly data issues. Both client and server are running on my MBP.
#kpopovbg, yes, writing script was faster. Thank you.
The problem is:
I've got a SQLite database which is constantly being updated though a proprietary application.
I'm building an application which uses MySQL and the database design is very different from the one of SQLite.
I then have to copy data from SQLite to MySQL but it should be done very carefully as not everything should be moved, tables and fields have different names and sometimes data from one table goes to two tables (or the opposite).
In short, SQLite should behave as a client to MySQL inserting what is new and updating the old in an automated way. It doesn't need to be updating in real time; every X hours would be enough.
A google search gave me this:
http://migratedb.sourceforge.net/
And asking a friend I got information about the Multisource plugin (Squirrel SQL) in this page:
http://squirrel-sql.sourceforge.net/index.php?page=plugins
I would like to know if there is a better way to solve the problem or if I will have to make a custom script myself.
Thank you!
I recommend a custom script for this:
If it's not a one-to-one conversion between the tables and fields, tools might not help there. In your question, you've said:
...and sometimes data from one table goes to two tables (or the opposite).
If you only want the differences, then you'll need to build the logic for that unless every record in the SQLite db has timestamps.
Are you going to be updating the MySQL db at all? If not, are you okay to completely delete the MySQL db and refresh it every X hours with all the data from SQLite?
Also, if you are comfortable with a scripting language (like php, python, perl, ruby, etc.), they have API's for both SQLite and MySQL; it would be easy enough to build your own script which you can control customise more easily based on program logic. Especially if you want to run "conversions" between the data from one to the other and not just simple mapping.
I hope i understand you correctly, that you will flush the data which are stored in a SQLite DB periodicly to a MySQL DB. Right?
So this is how i would do it.
Create a Cron, which starts the script every x minutes.
Export the Data from SQLite into an CSV-File.
Do an LOAD DATA INFILE an import the CSV Data to MySQL
Code example for LOAD DATA INFILE
LOAD DATA INFILE 'PATH_TO_EXPORTED_CSV' REPLACE INTO TABLE your_table FIELDS TERMINATED BY ';' ENCLOSED BY '\"' LINES TERMINATED BY '\\n' IGNORE 1 LINES ( #value_column1, #unimportend_value, #value_column2, #unimportend_value, #unimportend_value, #value_column3) SET diff_mysql_column1 = #value_column1, diff_mysql_column2 = #value_column2, diff_mysql_column3 = #value_column3);
This Code you can query to as much db tables you want. Also you can change the variables #value_column1.
Im in a hurry. so thats it for now. ask if something is unclear.
Greets Michael