|
>I have two partitioning questions I am hoping somebody can help me with. > >I have a fairly busy metric(ish) table. It gets a few million records per day, the data is transactional for a while but then settles down and is used for analytical purposes later. > >When a metric is reported both the UTC time and the local times are stored along with the other data belonging to the metric. Don't you have duplicate information within your UTC, location and local_time data ? Maybe you can just attach a timezone to each location... >I want to partition this table to both make it faster to query and also to spread out the writes. Ideally the partitions would be based on the UTC timestamp and the sending location. For example > >metrics_location_XXXXX_2015_01_01 > >First problem with this approach is that there could be tens of thousands of locations so this is going to result hundreds of thousands of tables. I know there are no upper limits to how many tables there are but I am thinking this might really get me into trouble later. With only a few millions rows per day, weekly or even monthly partitions without regard of locations should be sufficient for older data. It should be possible to partition your hot data differently; But Instead of using one partition per location, you may use a hash/modulo approach to keep the number of partitions in a reasonable count if required at all (This can be helpful: https://github.com/markokr/pghashlib). Here I would avoid to include time information except for the limit between old and hot tables. And depending on the pattern and performance requirement of your analytic queries this may be sufficient (i.e. don't partition on the time at all). With smaller partitions for hot data, it should be quite fast to move them one by one to the old data. I have no experience with the trigger based partitioning of Postgres (we handle partitions logically at the application level), so I'm not sure how difficult this approach is. I suppose that you'll need a function that move data from hot to old partitons and that fix the triggers accordingly. > >Second and possibly more vexing problem is that often the local time is queried. Ideally I would like to put three constraints on the child tables. Location id, UTC timestamp and the local time but obviously the local timestamps would overlap with other locations in the same timezone Even if I was to only partition by UTC the local timestamps would overlap between tables. > >So the questions in a nutshell are. > >1. Should I be worried about having possibly hundreds of thousands of shards. >2. Is PG smart enough to handle overlapping constraints on table and limit it's querying to only those tables that have the correct time constraint. If you partition on the UTC time only, you don't have overlapping. When querying on the local time, the planner will consider all partitions, but an additional index or constraint on this column should be sufficient as long as your partition count remains small. regards, Marc Mamin |
