Table pseudonymized_transactions contains :
KEY `pseudonymized_transactions_ibfk_1` (`categorycode`),
KEY `pseudonymized_transactions_borrowers_ibfk_2` (`branchcode`),
KEY `pseudonymized_transactions_borrowers_ibfk_3` (`transaction_branchcode`)
To improve SQL queries performance, it needs more indexes, specially on itemnumber.
Looking at table statistics :
KEY `timeidx` (`datetime`),
KEY `branch_idx` (`branch`),
KEY `type_idx` (`type`),
KEY `itemnumber_idx` (`itemnumber`),
So index is need on pseudonymized_transactions columns :
itemnumber => For join with table items
transaction_type => For filter on type issue, return ...
datetime => For filter on date, this will help cleanup script
Test plan :
1) Run updatedatabase.pl
2) Check indexes are created in table pseudonymized_transactions
3) Run SQL query :
describe select * from pseudonymized_transactions join items using(itemnumber)
where transaction_type='issue' and datetime < date_sub(curdate(), INTERVAL 30 DAY)
=> You see the 3 new indexes used in 'possible_keys'.
Signed-off-by: David Nind <david@davidnind.com>
Signed-off-by: Marcel de Rooy <m.de.rooy@rijksmuseum.nl>
Signed-off-by: Katrin Fischer <katrin.fischer@bsz-bw.de>
Fridolin Somers
0573d01eaa
