I have deployed PostgreSQL(v13) using crunchydata k8s operator.
currently I found max_wal_size is 1GB using:
DB=# show max_wal_size;
max_wal_size
--------------
1GB
(1 row)
But the current /pgdata/pg13_wal size is 4.9Gi. Why PostgreSQL cannot archive wal and reduce wal size.
Logs
Backup start location: 0/0
Backup end location: 0/0
End-of-backup record required: no
wal_level setting: logical
wal_log_hints setting: on
max_connections setting: 100
max_worker_processes setting: 8
max_wal_senders setting: 10
max_prepared_xacts setting: 0
max_locks_per_xact setting: 64
track_commit_timestamp setting: off
Maximum data alignment: 8
Database block size: 8192
Blocks per segment of large relation: 131072
WAL block size: 8192
Bytes per WAL segment: 16777216
Maximum length of identifiers: 64
Maximum columns in an index: 32
Maximum size of a TOAST chunk: 1996
Size of a large-object chunk: 2048
Date/time type storage: 64-bit integers
Float8 argument passing: by value
Data page checksum version: 1
The max_wal_size is Maximum size to let the WAL grow during automatic checkpoints. This is a soft limit; WAL size can exceed max_wal_size under special circumstances, such as heavy load, a failing archive_command, or a high wal_keep_size setting. If this value is specified without units, it is taken as megabytes. The default is 1 GB. Increasing this parameter can increase the amount of time needed for crash recovery. This parameter can only be set in the postgresql.conf file or on the server command line.
Related
is it normal that my server is importing the planet-latest.osm.pbf at the following rate?
Processing: Node(1008470k 238.8k/s) Way(0k 0.00k/s) Relation(0 0.00/s)
According to this the total node count is 4 billion and im at the above value after three days. So the process on importing takes more than weeks...
I am using the following command:
sudo ./utils/setup.php --osm-file ../data/planet-latest.osm.pbf --all --osm2pgsql-cache 32000 2>&1 | tee setup.log
Server specs are:
Intel Core i7-3770
2x HDD SATA 4,0 TB Enterprise
4x RAM 8192 MB DDR3
Postgre Tuning settings are:
shared_buffers (2GB)
maintenance_work_mem (10GB)
work_mem (50MB)
effective_cache_size (24GB)
synchronous_commit = off
checkpoint_segments = 100 # only for postgresql <= 9.4
checkpoint_timeout = 10min
checkpoint_completion_target = 0.9
Can I speed up the process?
PS: What does k mean? 1k = 1000 Nodes?
I have a PostgreSQL database with more than 10GB data.
My server has 16GB of RAM (Ubuntu server is my OS).
I tried too tune Postgres in order too decrease the time of query execution
but with every tuning config, just 1GB of ram was used.
Here is my tuning config:
DB Version: 9.6
OS Type: linux
DB Type: desktop
Total Memory (RAM): 16 GB
Number of Connections: 100
config:
max_connections = 100
shared_buffers = 1GB
effective_cache_size = 4GB
work_mem = 8738kB
maintenance_work_mem = 1GB
min_wal_size = 100MB
max_wal_size = 100MB
checkpoint_completion_target = 0.5
wal_buffers = 16MB
default_statistics_target = 100
Any advice and suggestion will be appreciated...
We have two mongo servers one for testing and one for production each of them have a collection named images with ~700M documents.
{
_id
MovieId
...
}
We have the index on _id and MovieId
We are running the queries of the following format
db.images.find({MovieId:1234})
QA Config:
256GB of RAM with RAID disk
Prod Config:
700GB of RAM with SSD mirror
mongod configuration (/etc/mongod.conf)
QA:
storage:
dbPath: "/data/mongodb_data"
journal:
enabled: false
engine: wiredTiger
wiredTiger:
engineConfig:
cacheSizeGB: 256
setParameter:
wiredTigerConcurrentReadTransactions: 256
Prod:
storage:
dbPath: "/data/mongodb_data"
directoryPerDB: true
journal:
enabled: false
engine: wiredTiger
wiredTiger:
engineConfig:
cacheSizeGB: 600
setParameter:
wiredTigerConcurrentReadTransactions: 256
With the better configuration for the prod server, it should perform better than QA server. Surprisingly it is running very slow compared to QA Server.
I checked current ops (using db.currentOp()) on both servers under the same load, lot of queries on the prod server takes 10-20 seconds, but on the QA server No query takes more than 1 second.
The queries are initiated from Mapreduce jobs.
I need help in identifying the problem.
[Edit]: Mongo Version 3.0.11
You can debug your mongo queries in multiple ways.
Start with your index usage using below command :
db.images.aggregate( [ { $indexStats: { } } ] )
If this don't give you any useful information, then check the execution plan of the slow queries using :
db.setProfilingLevel(2)
db.system.profile.find().pretty()
db.system.profile will give you complete profile of your queries.
There was a difference in the number of open files and, max user processes between our Staging and Production servers. I checked it by using the command ulimit -a
Staging:
open files (-n) 32768
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 10240
cpu time (seconds, -t) unlimited
max user processes (-u) 32768
Prod:
open files (-n) 16384
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 10240
cpu time (seconds, -t) unlimited
max user processes (-u) *16384*
After I changed the two settings on prod, it started giving better performance. Thanks #Gaurav for advising me on this.
I have a server running Postgres 9.1.15. The server has 2GB of RAM and no swap. Intermittently Postgres will start getting "out of memory" errors on some SELECTs, and will continue doing so until I restart Postgres or some of the clients that are connected to it. What's weird is that when this happens, free still reports over 500MB of free memory.
select version();:
PostgreSQL 9.1.15 on x86_64-unknown-linux-gnu, compiled by gcc (Ubuntu/Linaro 4.6.3-1ubuntu5) 4.6.3, 64-bit
uname -a:
Linux db 3.2.0-23-virtual #36-Ubuntu SMP Tue Apr 10 22:29:03 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux
Postgresql.conf (everything else is commented out/default):
max_connections = 100
shared_buffers = 500MB
work_mem = 2000kB
maintenance_work_mem = 128MB
wal_buffers = 16MB
checkpoint_segments = 32
checkpoint_completion_target = 0.9
random_page_cost = 2.0
effective_cache_size = 1000MB
default_statistics_target = 100
log_temp_files = 0
I got these values from pgtune (I chose "mixed type of applications") and have been fiddling with them based on what I've read, without making much real progress. At the moment there's 68 connections, which is a typical number (I'm not using pgbouncer or any other connection poolers yet).
/etc/sysctl.conf:
kernel.shmmax=1050451968
kernel.shmall=256458
vm.overcommit_ratio=100
vm.overcommit_memory=2
I first changed overcommit_memory to 2 about a fortnight ago after the OOM killer killed the Postgres server. Prior to that the server had been running fine for a long time. The errors I get now are less catastrophic but much more annoying because they are much more frequent.
I haven't had much luck pinpointing the first event that causes postgres to run "out of memory" - it seems to be different each time. The most recent time it crashed, the first three lines logged were:
2015-04-07 05:32:39 UTC ERROR: out of memory
2015-04-07 05:32:39 UTC DETAIL: Failed on request of size 125.
2015-04-07 05:32:39 UTC CONTEXT: automatic analyze of table "xxx.public.delayed_jobs"
TopMemoryContext: 68688 total in 10 blocks; 4560 free (4 chunks); 64128 used
[... snipped heaps of lines which I can provide if they are useful ...]
---
2015-04-07 05:33:58 UTC ERROR: out of memory
2015-04-07 05:33:58 UTC DETAIL: Failed on request of size 16.
2015-04-07 05:33:58 UTC STATEMENT: SELECT oid, typname, typelem, typdelim, typinput FROM pg_type
2015-04-07 05:33:59 UTC LOG: could not fork new process for connection: Cannot allocate memory
2015-04-07 05:33:59 UTC LOG: could not fork new process for connection: Cannot allocate memory
2015-04-07 05:33:59 UTC LOG: could not fork new process for connection: Cannot allocate memory
TopMemoryContext: 396368 total in 50 blocks; 10160 free (28 chunks); 386208 used
[... snipped heaps of lines which I can provide if they are useful ...]
---
2015-04-07 05:33:59 UTC ERROR: out of memory
2015-04-07 05:33:59 UTC DETAIL: Failed on request of size 1840.
2015-04-07 05:33:59 UTC STATEMENT: SELECT... [nested select with 4 joins, 19 ands, and 2 order bys]
TopMemoryContext: 388176 total in 49 blocks; 17264 free (55 chunks); 370912 used
The crash before that, a few hours earlier, just had three instances of that last query as the first three lines of the crash. That query gets run very often, so I'm not sure if the issues are because of this query, or if it just comes up in the error log because it's a reasonably complex SELECT getting run all the time. That said, here's an EXPLAIN ANALYZE of it: http://explain.depesz.com/s/r00
This is what ulimit -a for the postgres user looks like:
core file size (blocks, -c) 0
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 15956
max locked memory (kbytes, -l) 64
max memory size (kbytes, -m) unlimited
open files (-n) 1024
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 8192
cpu time (seconds, -t) unlimited
max user processes (-u) 15956
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimited
I'll try and get the exact numbers from free next time there's a crash, in the meantime this is a braindump of all the info I have.
Any ideas on where to go from here?
I just ran into this same issue with a ~2.5 GB plain-text SQL file I was trying to restore. I scaled my Digital Ocean server up to 64 GB RAM, created a 10 GB swap file, and tried again. I got an out-of-memory error with 50 GB free, and no swap in use.
I scaled back my server to the small 1 GB instance I was using (requiring a reboot) and figured I'd give it another shot for no other reason than I was frustrated. I started the import and realized I forgot to create my temporary swap file again.
I created it in the middle of the import. psql made it a lot further before crashing. It made it through 5 additional tables.
I think there must be a bug allocating memory in psql.
Can you check if there's any swap memory available when the error raises up?
I've remove completely the swap memory in my Linux desktop (just for testing other things...) and I got the exactly same error! I'm pretty sure that this is what is going on with you too.
It is a bit suspicious that you report the same free memory size as your shared_buffers size. Are you sure you are looking the right values?
Output of free command at the time of crash would be useful as well as the content of /proc/meminfo
Beware that setting overcommit_memory to 2 is not so effective if you see the overcommit_ratio to 100. It will basically limits the memory allocation to the size swap (0 in this case) + 100% of physical RAM, which doesn't take into account any space for shared memory and disk caches.
You should probably set overcommit_ratio to 50.
I got two identical servers, in both is installed postgresql server version 9.0.4 with the same configuration. If I launch a .sql file that performs about 5k inserts, on the first one it takes a couple of seconds, on the second one it takes 1 minute and 30 seconds.
If I set synchronous_commit, speed dramatically reduces (as expected), and the performances of the two servers are comparable. But if I set synchronous_commit to on, on one server the insert script execution time increases of less than one second, on the other one it increases too much, as I said in the first period.
Any idea about this difference in performances? Am I missing some configuration?
Update: tried a simple disk test: time sh -c "dd if=/dev/zero of=ddfile bs=8k count=200000 && sync"
fast server output:
1638400000 bytes (1.6 GB) copied, 1.73537 seconds, 944 MB/s
real 0m32.009s
user 0m0.018s
sys 0m2.298s
slow server output:
1638400000 bytes (1.6 GB) copied, 4.85727 s, 337 MB/s
real 0m35.045s
user 0m0.019s
sys 0m2.221s
Common features (both servers):
SATA, RAID1, controller: Intel Corporation 82801JI (ICH10 Family) SATA AHCI Controller, distribution: linux centOS. mount -v output:
/dev/md2 on / type ext3 (rw)
proc on /proc type proc (rw)
none on /dev/pts type devpts (rw,gid=5,mode=620)
/dev/md1 on /boot type ext3 (rw)
fast server: kernel 2.6.18-238.9.1.el5 #1 SMP
Disk /dev/sda: 750.1 GB, 750156374016 bytes
255 heads, 63 sectors/track, 91201 cylinders, total 1465149168 sectors
Units = sectors of 1 * 512 = 512 bytes
Device Boot Start End Blocks Id System
/dev/sda1 3906 4209029 2102562 fd Linux raid autodetect
/dev/sda2 4209030 4739174 265072+ fd Linux raid autodetect
/dev/sda3 4739175 1465144064 730202445 fd Linux raid autodetect
slow server: kernel 2.6.32-71.29.1.el6.x86_64 #1 SMP
Disk /dev/sda: 750.2 GB, 750156374016 bytes
64 heads, 32 sectors/track, 715404 cylinders, total 1465149168 sectors
Units = sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disk identifier: 0x0006ffc4
Device Boot Start End Blocks Id System
/dev/sda1 2048 4194303 2096128 fd Linux raid autodetect
/dev/sda2 4194304 5242879 524288 fd Linux raid autodetect
/dev/sda3 5242880 1465147391 729952256 fd Linux raid autodetect
Could it be useful to address the performance issue?
I suppose your slow server with newer kernel has working barriers. This is good, as otherwise you can loose data in case of a power failure. But it is of course slower than running with write cache enabled and without barriers, aka running with scissors.
You can check if barriers are enabled using mount -v — search for barrier=1 in output. You can disable barriers for your filesystem (mount -o remount,barrier=0 /) to speed up, but then you risk data corruption.
Try to do your 5k inserts in one transaction — Postgres won't have to write to disk on every row inserted. The theoretical limit for number of transactions per second wound be comparable to disk rotational speed (7200rpm disk ≈ 7200/60 tps = 120 tps) as a disk can only write to a sector once per rotation.
To me this sounds like in the "fast" server there is a write cache enbled for the harddisk(s), whereas in the slow server the harddisk(s) are really writing the data when PG writes it (by calling fsync)