[[PageOutline]] = Guidelines = == OS optimizations == * ''filesystem'' - it's recommended to use the '''xfs''' filesystem, over ''ext4'' or similar. Mount with '''noatime''', e.g. in `/etc/fstab`: {{{ # / was on /dev/sda1 during installation UUID=212a6de3-515b-4e12-aa17-3e466f6966aa / ext4 noatime,errors=remount-ro 0 1 }}} * ''scheduler'' - '''deadline''' for spinning disk, '''noop''' for ssd or high caching raid, e.g. {{{ echo deadline > /sys/block/DEVICE/queue/scheduler }}} * ''read ahead'' - enable with below command, which can be made permanent by putting in `/etc/rc.local` for example: {{{ /sbin/blockdev --setra 4096 /dev/DEVICE }}} * ''write cache'' - put the below in `/etc/sysctl.conf` and load with `sysctl -p`: {{{ vm.dirty_background_ratio = 5 vm.dirty_background_ratio = 10 }}} * ''shared memory'' - run attachment:calc_kernel_shm.sh and substituted the outputs into `/etc/sysctl.conf`: {{{ kernel.shmmax=VALUE kernel.shmall=VALUE }}} == PostgreSQL == The default PostgreSQL configuration can be tuned for better performance with rasdaman. The parameters below should be adapted in the `postgresql.conf`, typically found under `/etc/postgresql`. * ''max_connections'' - as long as a single user is using the database, this can be decreased to about 40. When many rasservers are started (e.g. 20+) and concurrent connections are expected this values should be increased though, or it may lead to random query failures as the threshold is exceeded (see comment:40:ticket:133) * ''shared_buffers'' - should be 25%-33% of your total RAM * ''work_mem'' - `(total RAM / connections) / 4..16`, but not lower then 128 MB. When you have 4 GB RAM and you are alone then 256 MB is fine. * ''maintenance_work_mem'' - total RAM / 16 * ''synchronous_commit'' - set to ''off'' when doing bulk ingestion * ''wal_buffers'' - should be 16 MB; by default 1/32 from the shared buffer value is taken as long as it is lower then 16 MB otherwise it is 16 MB * ''checkpoint_segments'' - 256 is a good start value when doing bulk ingestion * ''checkpoint_completion_target'' - 0.0 (especially important for bulk ingestion) * ''random_page_cost'' - 2.0 for spinning disk and 1.01 for ssd, high caching raid and when DB fits into RAM * ''effective_cache_size'' - total RAM - shared_buffers value * ''logging_collector'' - set to on if it isn't set already * ''log_line_prefix'' - set to '%t ' to get timestamps in the logs = Benchmarks = == Ingestion == Below are the results of ingesting one dataset using various tilings and postgres parameters. === Regular tiling === The dataset is 150 png rgb images of size 1024x608, so that each image is 1867776 bytes uncompressed, or 280 MB in total. * Default postgres parameters: || '''Tiling scheme''' || '''Tile size''' || '''Import time''' || '''DB size before''' || '''DB size after''' || '''BLOBs size''' || '''BLOBs size2''' || || 0:31,0:31,0:149 || 460800 || 84 minutes || 184M || '''19416M''' || 267 MB || 18 GB || * Changed parameters in postgresql.conf: shared buffers = 1024 MB, temp_buffers = 8MB, fsync = off, synchronous_commit = off, wal_sync_method = fsync, full_page_writes = off, wal_buffers = 1MB, wal_writer_delay = 2000ms, checkpoint_segments = 32 || '''Tiling scheme''' || '''Tile size''' || '''Import time''' || '''DB size before''' || '''DB size after''' || '''BLOBs size''' || '''BLOBs size2''' || || 0:31,0:31,0:149 || 460800 || 35 minutes || 184M || '''19416M''' || 267 MB || 18 GB || * Using [#Tilecache tile cache] || '''Tiling scheme''' || '''Tile size''' || '''Import time''' || '''DB size before''' || '''DB size after''' || '''BLOBs size''' || '''BLOBs size2''' || || 0:31,0:31,0:149 || 460800 || '''48 seconds''' || 37M || 329M || 267 MB || 267 MB || === Regular tiling + VACUUM === The dataset is 50 png rgb images of size 1024x608, so that each image is 1867776 bytes uncompressed, or 89 MB in total. * Changed parameters in postgresql.conf: shared buffers = 1024 MB, temp_buffers = 8MB, fsync = off, synchronous_commit = off, wal_sync_method = fsync, full_page_writes = off, ''wal_buffers = 8MB, wal_writer_delay = 10000ms, checkpoint_segments = 16'' || '''Tiling scheme''' || '''Tile size''' || '''Import time''' || '''DB size before''' || '''DB size after''' || '''BLOBs size''' || '''BLOBs size2''' || '''BLOBs after [#VACUUMtables VACUUM]''' || 0:31,0:31,0:149 || 460800 || 7m 34s || 47M || '''2464M''' || 267 MB || 1776 MB || 96MB || = PostgreSQL tips = == Total size of BLOBs == BLOBs are stored in the `pg_largeobject` in postgres. Each BLOB is divided into rows (pages) of 2048 bytes typically. More info [http://www.postgresql.org/docs/8.4/static/catalog-pg-largeobject.html here] Query below computes the space that all BLOBs take. {{{ SELECT pg_size_pretty(count(loid) * 2048) FROM pg_largeobject; }}} == Total size of BLOBs 2 == {{{ SELECT tablename, pg_size_pretty(size) AS size_pretty, pg_size_pretty(total_size) AS total_size_pretty FROM (SELECT *, pg_relation_size(schemaname||'.'||tablename) AS size, pg_total_relation_size(schemaname||'.'||tablename) AS total_size FROM pg_tables) AS TABLES WHERE TABLES.tablename = 'pg_largeobject' ORDER BY total_size DESC; }}} == Size of individual BLOBs == {{{ SELECT loid, pg_size_pretty(count(*) * 2048) FROM pg_catalog.pg_largeobject GROUP BY loid ORDER BY count(*) DESC; }}} == Size of RASBASE tables == {{{ SELECT tablename, pg_size_pretty(size) AS size_pretty, pg_size_pretty(total_size) AS total_size_pretty FROM (SELECT *, pg_relation_size(schemaname||'.'||tablename) AS size, pg_total_relation_size(schemaname||'.'||tablename) AS total_size FROM pg_tables) AS TABLES WHERE TABLES.schemaname = 'public' ORDER BY total_size DESC; }}} == Reset WAL == [http://www.postgresql.org/docs/9.1/static/wal-intro.html Write-ahead logging] is used to ensure data integrity. In postgres these logs are stored in pg_xlog and it's [http://www.postgresql.org/docs/9.1/static/wal-internals.html recommended] to put them in a separate disk. To reset the logs: 1. `service stop postgresql` 1. `sudo -u postgres pg_resetxlog $PGDATA` == Remove orphaned BLOBs == Orphaned BLOBs are BLOBs that are stored but they are not referenced by oid from any table in the database. To clear them up use [http://www.postgresql.org/docs/8.4/static/vacuumlo.html vacuumlo] * `vacuumlo RASBASE` Note, vacuumlo is an additional module made available through postgresql-contrib == VACUUM tables == Tuples that have been deleted or obsoleted are normally not physically deleted, and thus the space continues to be still used, until a `VACUUM` is performed on the database or specific tables. `VACUUM` alone doesn't free up the disk space for further use by the OS, `VACUUM FULL` is necessary for this. In rasdaman it's most important to do periodic VACUUM on the BLOBs table: * psql -d RASBASE -c "VACUUM FULL pg_largeobject" or * vacuumdb -d RASBASE -t "pg_largeobject" -f = Tile cache = A tile cache can be enabled in rasdaman during bulk ingestion, in order to work around inefficiencies of BLOB handling in postgres and slow performance for certain tiling schemes. == How to use == The cache can be enabled in rasmgr.conf by specifying a `--cachelimit` parameter after the `-xp` parameter: {{{ --cachelimit (default: 0) specifies upper limit in bytes on using memory for caching }}} An example `rasmgr.conf` configuration that allows the cache to use up to 1GB memory: {{{ define dbh rasdaman_host -connect RASBASE define db RASBASE -dbh rasdaman_host define srv N1 -host HOST -type n -port 9000 -dbh rasdaman_host change srv N1 -countdown 20000000 -autorestart on -xp --timeout 30000000 --cachelimit 1073741824 }}} When enabled, `INSERT` and `UPDATE` rasql statements can be issued in the normal way. At the end of the ingestion a `COMMIT` command should be executed, to make sure that the cache is cleared and everything is flushed to disk. E.g. {{{ rasql -q 'insert into coll ...' rasql -q 'update coll ...' rasql -q 'update coll ...' rasql -q 'update coll ...' # done with ingestion rasql -q 'commit' }}} To make most optimal use of the tile cache feature, it's important to understand how it works. The tile cache especially helps with regular tiling, when there are many partial updates at slices along some axis. The [wiki:Tiling#Caveat regular tiling] sections provides an introduction into this, here we continue with the same example and define a ''best practice'' for using the tile cache. As we has been demonstrated by the regular tiling example, inserting a 1000x1000x1 data cube results in generating a 1000x1000x1000 cube, due to the specific tiling scheme used. If the tile cache is enabled and at least 1000x1000x1000 = 1GB of memory is allowed with `--cachelimit`, this cube will fit in memory and will be cached. If less memory is allowed for the tile cache, then some of the 100x100x1000 tiles that don't fit in the memory will have to be written to disk. Assuming that the whole cube fits in main memory, then any slices updating the cube along the third dimension will be very fast, e.g. {{{ update test as m set m[*:*,*:*,1] assign marray x in [0:999,0:999] values 1c update test as m set m[*:*,*:*,2] assign marray x in [0:999,0:999] values 1c ... update test as m set m[*:*,*:*,999] assign marray x in [0:999,0:999] values 1c }}} Before making an update at slice 1000, it is best to flush the current cube to disk with {{{ rasql -q 'commit' }}} Because `update test as m set m[*:*,*:*,1000] ..` will initiate creation of a completely new cube of tiles, namely `[0:99,0:99,1000:1999]`, `[0:99,99:199,1000:1999]`, etc. Therefore, it is best to group updates by such tile cubes, manually ''commit'' when data in one tile cube is completely ingested, and avoid jumping from update in one cube to update in another cube (e.g. slice 1, then 1000, then 2, then 1001, etc with respect to the example above). It is best when `--cachelimit` is set to at least the size of one such cube, but more is always better. == Important limitation == At the moment the tile cache should be used during bulk ingestion '''_ONLY_''', and disabled afterwards. Leaving the tile cache on will cause selection queries to fail randomly. Furthermore, it is best to have only one server defined in rasmgr.conf, and `-countdown` and `--timeout` parameters set to very large values.