Compaction¶
This topic gives some information about compaction.
In NebulaGraph, Compaction is the most important background process and has an important effect on performance.
Compaction reads the data that is written on the hard disk, then re-organizes the data structure and the indexes, and then writes back to the hard disk. The read performance can increase by times after compaction. Thus, to get high read performance, trigger compaction (full compaction) manually when writing a large amount of data into Nebula Graph.
Note
Note that compaction leads to long-time hard disk IO. We suggest that users do compaction during off-peak hours (for example, early morning).
NebulaGraph has two types of compaction: automatic compaction and full compaction.
Automatic compaction¶
Automatic compaction is automatically triggered when the system reads data, writes data, or the system restarts. The read performance can increase in a short time. Automatic compaction is enabled by default. But once triggered during peak hours, it can cause unexpected IO occupancy that has an unwanted effect on the performance.
Full compaction¶
Full compaction enables large-scale background operations for a graph space such as merging files, deleting the data expired by TTL. This operation needs to be initiated manually. Use the following statements to enable full compaction:
Note
We recommend you to do the full compaction during off-peak hours because full compaction has a lot of IO operations.
nebula> USE <your_graph_space>;
nebula> SUBMIT JOB COMPACT;
The preceding statement returns the job ID. To show the compaction progress, use the following statement:
nebula> SHOW JOB <job_id>;
Operation suggestions¶
These are some operation suggestions to keep Nebula Graph performing well.
- After data import is done, run
SUBMIT JOB COMPACT.
- Run
SUBMIT JOB COMPACTperiodically during off-peak hours (e.g. early morning).
- To control the read and write traffic limitation for
compactions, set the following parameter in thenebula-storaged.confconfiguration file.# Limit the read/write rate to 20MB/s. --rocksdb_rate_limit=20 (in MB/s)
FAQ¶
"Where are the logs related to Compaction stored?"¶
By default, the logs are stored under the LOG file in the /usr/local/nebula/data/storage/nebula/{1}/data/ directory, or similar to LOG.old.1625797988509303. You can find the following content.
** Compaction Stats [default] **
Level Files Size Score Read(GB) Rn(GB) Rnp1(GB) Write(GB) Wnew(GB) Moved(GB) W-Amp Rd(MB/s) Wr(MB/s) Comp(sec) CompMergeCPU(sec) Comp(cnt) Avg(sec) KeyIn KeyDrop
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
L0 2/0 2.46 KB 0.5 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.53 0.51 2 0.264 0 0
Sum 2/0 2.46 KB 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.53 0.51 2 0.264 0 0
Int 0/0 0.00 KB 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.00 0.00 0 0.000 0 0
If the number of L0 files is large, the read performance will be greatly affected and compaction can be triggered.
"Can I do full compactions for multiple graph spaces at the same time?"¶
Yes, you can. But the IO is much larger at this time and the efficiency may be affected.
"How much time does it take for full compactions?"¶
When rate_limit is set to 20, you can estimate the full compaction time by dividing the hard disk usage by the rate_limit. If you do not set the rate_limit value, the empirical value is around 50 MB/s.
"Can I modify --rocksdb_rate_limit dynamically?"¶
No, you cannot.
"Can I stop a full compaction after it starts?"¶
No, you cannot. When you start a full compaction, you have to wait till it is done. This is the limitation of RocksDB.