Hello,
I am currently trying to load a very large dataset ( 54 billion
triples) with the tdb2.xloader command.
The first two steps (Nodes and Terms) are completed with an average
load speed of ~ 120,000.
The third stage (Data) has an average load speed of only 800. This
average load speed is incompatible with the amount of data to be loaded.
Looking at the status of the job, it is possible that there is an
excessive demand on memory which slows down the process extremely.
We saw with a top that java required many memories :
```
top
# PID USER PR NI VIRT RES SHR S %CPU %MEM
TIME+ COMMAND
# 867362 sblanch+ 20 0 289,0g 90,2g 88,4g S 3,3 72,1
1102:32 java
```
But with a free -g, we see that it actually uses very little memory.
```
free -g
# total used free shared buff/cache available
# Mem: 125 3 0 0 121
120
```
Are there any possibilities to speed up this step? (Give a -xms to
java?)
Can this significant drop in loading speed for this step be due to
memory usage? Do you know of any other limiting causes in this loading
stage?
For previous insertions on smaller datasets, this Data step was not
limiting and the average speed was even slightly higher than the Nodes
and Terms steps.
For information, the machine used has 32 CPUs and 128 Giga of Ram.
Thanks for your help,
Regards,
Steven
