I currently have a PostgreSQL database, because one of the pieces of software we're using only supports this particular database engine. I then have a query which summarizes and splits the data from the app into a more useful format.
In my MySQL database, I have a table which contains an identical schema to the output of the query described above.
What I would like to develop is an hourly cron job which will run the query against the PostgreSQL database, then insert the results into the MySQL database. During the hour period, I don't expect to ever see more than 10,000 new rows (and that's a stretch) which would need to be transferred.
Both databases are on separate physical servers, continents apart from one another. The MySQL instance runs on Amazon RDS - so we don't have a lot of control over the machine itself. The PostgreSQL instance runs on a VM on one of our servers, giving us complete control.
The duplication is, unfortunately, necessary because the PostgreSQL database only acts as a collector for the information, while the MySQL database has an application running on it which needs the data. For simplicity, we're wanting to do the move/merge and delete from PostgreSQL hourly to keep things clean.
To be clear - I'm a network/sysadmin guy - not a DBA. I don't really understand all of the intricacies necessary in converting one format to the other. What I do know is that the data being transferred consists of 1xVARCHAR, 1xDATETIME and 6xBIGINT columns.
The closest guess I have for an approach is to use some scripting language to make the query, convert results into an internal data structure, then split it back out to MySQL again.
In doing so, are there any particular good or bad practices I should be wary of when writing the script? Or - any documentation that I should look at which might be useful for doing this kind of conversion? I've found plenty of scheduling jobs which look very manageable and well-documented, but the ongoing nature of this script (hourly run) seems less common and/or less documented.
Open to any suggestions.
If your remote end was also PostgreSQL, you could use streaming replication with hot standby to keep the remote end in sync with the local one transparently and automatically.
If the local end and remote end were both MySQL, you could do something similar using MySQL's various replication features like binlog replication.
There's nothing wrong with using an external script. In fact, even if you use DBI-Link or similar (see below) you probably have to use an external script (or psql) from a cron job to initiate repliation, unless you're going to use PgAgent to do it.
Either accumulate rows in a queue table maintained by a trigger procedure, or make sure you can write a query that always reliably selects only the new rows. Then connect to the target database and INSERT the new rows.
If the rows to be copied are too big to comfortably fit in memory you can use a cursor and read the rows with FETCH, which can be helpful if the rows to be copied are too big to comfortably fit in memory.
I'd do the work in this order:
DELETE FROM queue_table RETURNING *DELETE any rows from the queue table in PostgreSQL if you haven't already.COMMIT the MySQL transaction.COMMIT succeeded, COMMIT the PostgreSQL transaction. If it failed, ROLLBACK the PostgreSQL transaction and try the whole thing again. The PostgreSQL COMMIT is incredibly unlikely to fail because it's a local database, but if you need perfect reliability you can use two-phase commit on the PostgreSQL side, where you:
PREPARE TRANSACTION in PostgreSQLCOMMIT in MySQLCOMMIT PREPARED or ROLLBACK PREPARED in PostgreSQL depending on the outcome of the MySQL commit.This is likely too complicated for your needs, but is the only way to be totally sure the change happens on both databases or neither, never just one.
BTW, seriously, if your MySQL is using MyISAM table storage, you should probably remedy that. It's vulnerable to data loss on crash, and it can't be transactionally updated. Convert to InnoDB.
Maybe it's because I'm comfortable with PostgreSQL, but I'd do this using a PostgreSQL function that used DBI-link via PL/Perlu to do the job.
When replication should take place, I'd run a PL/PgSQL or PL/Perl procedure that uses DBI-Link to connect to the MySQL database and insert the data in the queue table.
Many examples exist for DBI-Link, so I won't repeat them here. This is a common use case.
If you only want to copy new rows and your table is append-only, you could write a trigger procedure that appends all newly INSERTed rows into a separate queue table with the same definition as the main table. When you want to sync, your sync procedure can then in a single transaction LOCK TABLE the_queue_table IN EXCLUSIVE MODE;, copy the data, and DELETE FROM the_queue_table;. This guarantees that no rows will be lost, though it only works for INSERT-only tables. Handling UPDATE and DELETE on the target table is possible, but much more complicated.
Alternately, for PostgreSQL 9.1 and above, I might consider using the MySQL Foreign Data Wrapper, ODBC FDW or JDBC FDW to allow PostgreSQL to see the remote MySQL table as if it were a local table. Then I could just use a writable CTE to copy the data.
WITH moved_rows AS (
DELETE FROM queue_table RETURNING *
)
INSERT INTO mysql_table
SELECT * FROM moved_rows;