Hi,
Installed Bloom 1.6.1 along with Desktop 1.4.4.
In Bloom using custom search that previously worked, no longer return results. I am getting a port connection retrying warning. The database is local.
Andy
I installed Bloom 1.6.1, Desktop 1.4.4. on macOS 11.3.
And created a simple custom search for local Movie.
It worked correctly.
I have no the port connection retrying warning.
Is it OK to view the DB in a browser like Chrome?
Hi Koji,
My objective is to use Bloom for some visualization studies. What worked before update is move giving this:
and this
It seems intermittent. I got the error a few times. Relaunched Bloom a couple of times and go it to work.
I am executing this custom search.
MATCH (a:cpc {subgroup: $cpcstart})
CALL apoc.path.expand(a, "Reports_to", ">cpc", 1, $numlevels)
YIELD path
RETURN path
Andy
How about testing with a simple Cypher first?
MATCH (a:cpc {subgroup: $cpcstart})
RETURN a
LIMIT 25
By the way, do you find the answers here helpful?
Hi,
Still getting poor connection issues. This is a local database on my Mac system. Single user.
Andy
I am getting the same issue on Bloom 1.7.0.
You can profile the query by EXPLAIN or PROFILE.
PROFILE MATCH (a:cpc {subgroup: $cpcstart})
CALL apoc.path.expand(a, "Reports_to", ">cpc", 1, $numlevels)
YIELD path
RETURN path
If the search takes too long, add an index.
CREATE INDEX cpc_subgroup FOR (n:cpc) ON (n.subgroup)
If not, and your memory settings are low, you can change neo4j.conf.
Hi Koji,
I already have an indexes set up. Is is some times hard to reproduce.
I do get it on a query that is reading company name property. Note there are only 1267 company nodes so it should not be a heavy lift.
My typical workaround is to close Bloom and reopen. It may take two or three tries sometimes usually when I am doing a demo for a client.
Andy
What are the values for each in neo4j.conf.
The following are the default values.
dbms.memory.heap.initial_size=512m
dbms.memory.heap.max_size=1G
# The amount of memory to use for mapping the store files.
# The default page cache memory assumes the machine is dedicated to running
# Neo4j, and is heuristically set to 50% of RAM minus the Java heap size.
dbms.memory.pagecache.size=512m
By the way, are your Neo4j Database and Bloom on your same PC? not Remote.
Hi Koji,
dbms.memory.heap.initial_size=2G
dbms.memory.heap.max_size=5G
The database is local being accessed via desktop browser and Bloom.
Andy
You can find Memory settings recommendation.
Neo4j Desktop > Project > Database > ... > Treminal
$ bin/neo4j-admin memrec
This is my Memory settings recommendation for some database.
# Based on the above, the following memory settings are recommended:
dbms.memory.heap.initial_size=12g
dbms.memory.heap.max_size=12g
dbms.memory.pagecache.size=12g
#
# It is also recommended turning out-of-memory errors into full crashes,
# instead of allowing a partially crashed database to continue running:
dbms.jvm.additional=-XX:+ExitOnOutOfMemoryError
#
# The numbers below have been derived based on your current databases located at: '/Users/koji/Library/Application Support/com.Neo4j.Relate/Data/dbmss/dbms-<something>/data/databases'.
# They can be used as an input into more detailed memory analysis.
# Total size of lucene indexes in all databases: 0k
# Total size of data and native indexes in all databases: 920400k
Hi Koji,
Based on the above, the following memory settings are recommended:
dbms.memory.heap.initial_size=15g
dbms.memory.heap.max_size=15g
dbms.memory.pagecache.size=16g
It is also recommended turning out-of-memory errors into full crashes,
instead of allowing a partially crashed database to continue running:
dbms.jvm.additional=-XX:+ExitOnOutOfMemoryError
The numbers below have been derived based on your current databases located at: '/Users/andreashegedus/Library/Application Support/com.Neo4j.Relate/Data/dbmss/dbms-f42ddd4f-37ef-4b85-b62a-01682f3e7323/data/databases'.
They can be used as an input into more detailed memory analysis.
Total size of lucene indexes in all databases: 0k
Total size of data and native indexes in all databases: 145100k
Andy
It is better to set a little more memory and keep the default and maximum settings the same from the beginning.
dbms.memory.heap.initial_size=15g
dbms.memory.heap.max_size=15g
dbms.memory.pagecache.size=16g
If your PC has about 16GB of memory, you can set it a little lower (10g??).
Hi Koji,
This Mac has 40G of built in memory.
I have set the memory allocations to recommended values. I will try and report back. The issue is intermittent so I may need to test for awhile an resolution is clear.
Andy
I think the total size of data and native indexes are not so big.
I hope it will work well.
After some testing with how higher memory allocations, I can say it is improved but not completely resolved.
It seems to lose connection when I am using a custom query and the parameter is referencing a label-key. In my test case the number of nodes being searched is still rather modest, either 12,000 or 70,000.
Andy