memcache http://code.google.com/appengine/docs/python/memcache/usingmemcache.html
On Nov 26, 11:54 am, Martin Dvorak <[email protected]> wrote: > Hi all! > I'm looking for a lesson from 'pricing oriented programming'. My service > has a REST-style endpoint that I use to replicate/export/import data. > Surprisingly export consumes ~10x more Datastore Small Operations than > Datastore Read Operations. Thus I'm almost running out of free quota. There > are ~2500 entities, the export does 10x count()s and reads all the data as > follows: > > public List getPage(Class clazz, int from, int to, int pageSize) { > PersistenceManager pm = getPm(); > try { > Query queryStatement = pm.newQuery(clazz); > if(from==0) { > queryStatement.setRange(from, to);} else { > > if(from>0) { > Cursor cursor = Cursor.fromWebSafeString(getTablePageCursors.get(clazz)); > Map<String, Object> extensionMap = new HashMap<String, > Object>(); > extensionMap.put(JDOCursorHelper.CURSOR_EXTENSION, cursor); > queryStatement.setExtensions(extensionMap); > queryStatement.setRange(0, pageSize);} > } > > List<?> queryResultList = (List<?>)queryStatement.execute(); > Cursor cursor = JDOCursorHelper.getCursor(queryResultList); > getTablePageCursors.put(clazz, cursor.toWebSafeString()); > > ... > > } finally { > pm.close(); > } > return result; > } > > My question is what can I do to optimize the code. I don't think that > count() is a problem. Can it be structure of entities exported? It seems > that certain types consumer more small operations than others. Can it be > caused by cursors? > > *Any suggestion or idea will be highly appreciated! * -- You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to [email protected]. To unsubscribe from this group, send email to [email protected]. For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en.
