Comments (5)
Hi. We use docker for that:
container_name: "manticore_columnar_engine"
build:
context: ./tests/${test}/manticore_columnar
args:
- commit
- buffer
mem_limit: ${mem}m
cpuset: "6,7"
privileged: true
mem_swappiness: 0
memswap_limit: 0
ulimits:
memlock:
soft: -1
hard: -1
ports:
- "127.0.0.1:9307:9306"
- "127.0.0.1:9309:9308"
volumes:
- ./tests/${test}/manticore_columnar/idx:/var/lib/manticore
- ./tests/${test}/manticore_columnar/logs:/var/log/manticore
- ./tests/${test}/data:/input
- ./tests/${test}/manticore_columnar/manticore.conf:/etc/manticoresearch/manticore.conf
We do have tests on a larger dataset and we'll publish them as soon as we make performance optimizations in the library. Note the library is in its early stage and is being actively developed. But the clear thing is that the columnar library can work on e.g. 1.8B documents (NYC taxi rides) with 60GB mem limit, but Manticore Search w/o columnar can't since there's just not enough memory critically (410GB required vs 60GB limit).
from columnar.
Ok, Thanks for your relpy.
from columnar.
I had went to check the NYC taxi rides
data set. I see
- 2.8 billion total trips
- 1.7 billion taxi
- 1.1 billion for-hire vehicle
Edit error?
from columnar.
We tested on 1.7 billion taxi
from columnar.
ok
from columnar.
Related Issues (20)
- Crash on loading index. HOT 2
- RANDOM CRASH HOT 2
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- Can publish to homebrew? HOT 2
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from columnar.