Closed Harishangaran closed 2 years ago
@Harishangaran can you put the repro steps here? 77s seems way off.
Hi Shashank,
The pandas version is 1.0.3
########################################## from connect.mongoConnect import * from timerUtil.timer import Timer
store = Arctic(client)
library = store['test']
######## READ PRICES #################### t = Timer() t.start() item = library.read('GOOG') t.stop()
print(item)
Sample data
Index Close 2004-09-02 49.4098014831543 2004-08-19 49.813289642333984 2004-09-08 50.181907653808594 2004-09-03 50.28651428222656 2004-08-20 50.316402435302734 2004-09-07 50.316402435302734
Any idea why it could be?
its either your version of pandas or its been recently fixed by the PR that @TomTaylorLondon merged in
Legacy issue - might have been resolved by the latest version. Please feel free to reopen this ticket if this is still an issue
Arctic Version
Arctic Store
Platform and version
Very slow read query take 77s to read 4000 rows of daily close price compared to same data in version store takes 0.09s.