Re: Constant "JTable" update
От | Per-Olof Norén |
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Тема | Re: Constant "JTable" update |
Дата | |
Msg-id | 007101c1691f$306ac1d0$d31014ac@lpernor обсуждение исходный текст |
Ответ на | Constant "JTable" update (Jean-Christophe ARNU <arnu@paratronic.fr>) |
Ответы |
Re: Constant "JTable" update
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Список | pgsql-jdbc |
----- Original Message ----- From: "Jean-Christophe ARNU" <arnu@paratronic.fr> To: <pgsql-jdbc@postgresql.org> Sent: Thursday, November 08, 2001 10:38 PM Subject: [JDBC] Constant "JTable" update > The straightforward solution seems to have database listeners on the > table that wakes-up a notifier in the java program. But such kind of > mechanism seems not to be implemented in the JDBC API (up to my small > knowledge). I haven´t seen such a mechanism, either :-) > The second tortuous solutions (the one I use) is to query the database > relatively often to get the freshest results. This is quite bandwidth > consumming (assuming that some users should use a quite small bandwidth > connection). Using this kind of solution makes the Java application > slow... First of all, this is how I interpreted your config. You do a executeQuery once the rendering of the chart is done for one execution? And you process the entire ResultSet everytime, even though no changes are made? If this is the case, I would suggest a change in the following direction: 1. Create a little status table containing just one column: create table last_change (lastchange datetime). Also add one row to the table 2. Create a trigger on the measurer table, that updates the date of the status table. 3. Design your algorithm something like this check status by executing a select on status table. if changed { store the date from status query execute data query render chart } This would reduce the bandwith by not sending the resultset when no changes are made. By measuring the average change in time between , say the last five updates to the status table, you could even put the rendering of the chart in its on thread and let it sleep a little shorter than the average time Regards, Per-Olof Norén
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