[Neo4j] SDN w/ write and readonly Graph Database Service?

2011-11-01 Thread Tero Paananen
I'm using SDN to build a graph db I'm expecting to have
quite a heavy volume of write and read activity at peak
times. We're not ready to start using HA at this point.

I was wondering, if using Neo4J using two instances of
the Graph Database Service, one EmbeddedGraphDatabase
(writes), and one  or more EmbeddedReadOnlyGraphDatabase (reads) would make any
difference?

Are there any benefits for splitting the db access
that way? Or would accessing the db through the
writable instance for all operations be pretty
much the same?

-TPP
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Re: [Neo4j] SDN w/ write and readonly Graph Database Service?

2011-11-01 Thread Rick Bullotta
Probably the opposite (if you could even do it).  You'd lose the LRU caching 
across the boundary.

Is the data being written the same as the data being read, or is there a 
natural segmentation?  If so you could implement a crude form of 
sharding/partioning to avoid hot spots (concurrency related) during these 
periods.

As always, SSD + plenty of RAM.

-Original Message-
From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org] On 
Behalf Of Tero Paananen
Sent: Tuesday, November 01, 2011 12:16 PM
To: user@lists.neo4j.org
Subject: [Neo4j] SDN w/ write and readonly Graph Database Service?

I'm using SDN to build a graph db I'm expecting to have
quite a heavy volume of write and read activity at peak
times. We're not ready to start using HA at this point.

I was wondering, if using Neo4J using two instances of
the Graph Database Service, one EmbeddedGraphDatabase
(writes), and one  or more EmbeddedReadOnlyGraphDatabase (reads) would make any
difference?

Are there any benefits for splitting the db access
that way? Or would accessing the db through the
writable instance for all operations be pretty
much the same?

-TPP
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Re: [Neo4j] SDN w/ write and readonly Graph Database Service?

2011-11-01 Thread Tero Paananen
On Tue, Nov 1, 2011 at 12:26 PM, Rick Bullotta
rick.bullo...@thingworx.com wrote:
 Probably the opposite (if you could even do it).  You'd lose the LRU caching 
 across
 the boundary.

 Is the data being written the same as the data being read, or is there a 
 natural
 segmentation?  If so you could implement a crude form of sharding/partioning
 to avoid hot spots (concurrency related) during these periods.

It's largely going to be the same data. It's definitely the same type of data.

Basically there will be discreet sets of same type of data (kinda like
sub-graphs,
but they can be connected) inserted in a batch-like manner. Those discreet sets
of data will then immediately be consumed by processes that use it to calculate
additional data and store the results to various data stores, incl.
the same Neo4J
db. After the initial consumption, the data sets will be consumed on-demand, but
I'm not sure about how frequently at this point. It'll likely be
something like once
or twice a day or even less frequently, but I'll have to see how the
usage patterns
emerge after the solution goes live to be sure.

Thanks for the answer Rick. I'll do some quick-and-dirty testing later this week
to guide the decision making on this. I'll see if I can post what I find on this
thread afterwards.

-TPP
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Re: [Neo4j] SDN w/ write and readonly Graph Database Service?

2011-11-01 Thread Rick Bullotta
Cool.  If you can control access to the data (e.g. no access until the entire 
subgraph/dataset has been imported) you can probably avoid a lot of the 
concurrency issues.

-Original Message-
From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org] On 
Behalf Of Tero Paananen
Sent: Tuesday, November 01, 2011 12:49 PM
To: Neo4j user discussions
Subject: Re: [Neo4j] SDN w/ write and readonly Graph Database Service?

On Tue, Nov 1, 2011 at 12:26 PM, Rick Bullotta
rick.bullo...@thingworx.com wrote:
 Probably the opposite (if you could even do it).  You'd lose the LRU caching 
 across
 the boundary.

 Is the data being written the same as the data being read, or is there a 
 natural
 segmentation?  If so you could implement a crude form of sharding/partioning
 to avoid hot spots (concurrency related) during these periods.

It's largely going to be the same data. It's definitely the same type of data.

Basically there will be discreet sets of same type of data (kinda like
sub-graphs,
but they can be connected) inserted in a batch-like manner. Those discreet sets
of data will then immediately be consumed by processes that use it to calculate
additional data and store the results to various data stores, incl.
the same Neo4J
db. After the initial consumption, the data sets will be consumed on-demand, but
I'm not sure about how frequently at this point. It'll likely be
something like once
or twice a day or even less frequently, but I'll have to see how the
usage patterns
emerge after the solution goes live to be sure.

Thanks for the answer Rick. I'll do some quick-and-dirty testing later this week
to guide the decision making on this. I'll see if I can post what I find on this
thread afterwards.

-TPP
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