I'm giving the flag -Denable-debug-rules, which the documentation says should print something to a log at least every 5 minutes, according to http://graphdb.ontotext.com/documentation/standard/rules-optimisations.html
Unfortunately it's not, and I need to figure out why inferencing is taking so long.
Help?
The specific files is http://purl.obolibrary.org/obo/pr.owl and I'm using owl2-rl-optimized
Version graphdb-ee-6.3.1
An exchange with GraphDB tech support clarified that the built-in rule sets can not be monitored. To effectively monitor them, copy into a new file and add that file as a ruleset following http://graphdb.ontotext.com/documentation/enterprise/reasoning.html#operations-on-rulesets
Related
I am using anzograph with SPARQL trough http using RDFlib. I do not specify any limits in my query, and still I only receive 1000 solutions. The same seems to happen on the web interface.
If I fire the same query on other triple stores with the same data, I do get all results.
Moreover, if I fire this query using their command line tool on the same machine as the database, I do get all results (millions). Maybe it is using a different protocol with the local database. If I specify the hostname and port explicitly on the command line, I get 1030 results...
Is there a way to specify that I want all results from anzograph over http?
I have found the service_graph_rowset_limit setting and changed its value to 100000000 in both config/settings_standalone.conf and config/settings.conf, (and restarted the database) but to no avail.
let me start by thanking you for pointing this issue out.
You have identified a regression of a fix, that had been intended to protect the web UI from freezing on unbounded result sets, but affected the regular sparql endpoint user as well.
Our Anzo customers do not see this issue, as they use the internal gRPC API directly.
We have produced a fix that will be in our upcoming anzograph 2.4.0 and in our upcoming patch release 2.3.2 set of images.
Older releases will receive this fix as well (when we have a shipment vehicle).
If it is urgent to you I can provide you both a point fix (root.war file).
What exact image are you using?
Best - Frank
I have a GraphDB application with a huge folder size in "./logs".
I notice there are 3 types of file logs: error, main, and query.
I understand We can delete those but I could find any mention in the documentation. Is it safe to remove them?
It's completely safe to delete the logs if you don't need them.
I have an internal Apache server for testing purpose, not client facing.
I wanted to upgrade the server to apache 2.4, but there is no space left, so I was trying to delete some files on the server.
After checking file size, I found a folder /var/lib/elasticsearch takes 80g space. For example, /var/lib/elasticsearch/elasticsearch/nodes/0/indices/logstash-2015.12.08 takes 60g already. I'm not sure what's elasticsearch. Is it safe if i delete this logstash? Thanks!
Elasticsearch is a search engine, like a NoSql database, and it stores the data in indeces. What you are seeing is the data of one index.
Probobly someone was using the index aroung 2015 when the index was timestamped.
I would just delete it.
I'm afraid that only you can answer that question. One use for logstash+elastic search are to help make sense out of system logs. That combination isn't normally setup by default, so I presume someone set it up at some time for some reason, and it has obviously done some logging. Only you can know if it is still being used, or if it is safe to delete.
As other answers pointed out Elastic search is a distributed search engine. And I believe an earlier user was pushing application or system logs using Logstash to this Elastic search instance. If you can find the source application, check if the log files are already there, if yes, then you can go ahead and delete your index. I highly doubt anyone still needs the logs back from 2015, but it is really your call to see what your application's archiving requirements are and then take necessary action.
I have 5000 files in a folder and on daily basis new file keep loaded in same file. I need to get the latest file only on daily basis among all the files.
Will it be possible to achieve the scenario in Mule out of box.
Tried keeping file component inside Poll component( To make use of waterMark) but not working.
Is there any way we can achieve this. If not please suggest the best way ( Any possible links).
Mule Studio: 5.3, RunTime 3.7.2.
Thanks in advance
Short answer: Not really any extremely quick out of the box solution. But there are other ways. Im not saying this is the right or only way of solving it, but I've earlier implemented a similar scenario in this way:
A Normal File inbound with a database table as file-log. Each time a new file is processed, a component checks if its name appears in the table. By choice or filter I only continue if it isn't in there already - and after processing I add the filename to the table.
This is a quite "heavy" solution though. A simpler access would be to use an idempotent filter with a object store. For example a Redis server: https://github.com/mulesoft/redis-connector/blob/master/src/test/resources/redis-objectstore-tests-config.xml
It is actually very simple if your incoming file contains timestamp........you can configure the file inbound connector by setting file:filename-regex-filter pattern="myfilename_#[function:timestamp].csv". I hope this helps
May be you can use a quartz scheduler( mention the time in cron expression), followed by a groovy script in which you can start the file connector . Keep the file connector in another flow.
Every once in awhile I am fed a large data file that my client uploads and that needs to be processed through CMFL. The problem is that if I put the processing on a CF page, then it runs into a timeout issue after 120 seconds. I was able to move the processing code to a CFC where it seems to not have the timeout issue. However, sometime during the processing, it causes ColdFusion to crash and has to restarted. There are a number of database queries (5 or more, mixture of updates and selects) required for each line (8,000+) of the file I go through as well as other logic provided by me in the form of CFML.
My question is what would be the best way to go through this file. One caveat, I am not able to move the file to the database server and process it entirely with the DB. However, would it be more efficient to pass each line to a stored procedure that took care of everything? It would still be a lot of calls to the database, but nothing compared to what I have now. Also, what would be the best way to provide feedback to the user about how much of the file has been processed?
Edit:
I'm running CF 6.1
I just did a similar thing and use CF often for data parsing.
1) Maintain a file upload table (Parent table). For every file you upload you should be able to keep a list of each file and what status it is in (uploaded, processed, unprocessed)
2) Temp table to store all the rows of the data file. (child table) Import the entire data file into a temporary table. Attempting to do it all in memory will inevitably lead to some errors. Each row in this table will link to a file upload table entry above.
3) Maintain a processing status - For each row of the datafile you bring in, set a "process/unprocessed" tag. This way if it breaks, you can start from where you left off. As you run through each line, set it to be "processed".
4) Transaction - use cftransaction if possible to commit all of it at once, or at least one line at a time (with your 5 queries). That way if something goes boom, you don't have one row of data that is half computed/processed/updated/tested.
5) Once you're done processing, set the file name entry in the table in step 1 to be "processed"
By using the approach above, if something fails, you can set it to start where it left off, or at least have a clearer path of where to start investigating, or worst case clean up in your data. You will have a clear way of displaying to the user the status of the current upload processing, where it's at, and where it left off if there was an error.
If you have any questions, let me know.
Other thoughts:
You can increase timeouts, give the VM more memory, put it in 64 bit but all of those will only increase the capacity of your system so much. It's a good idea to do these per call and do it in conjunction with the above.
Java has some neat file processing libraries that are available as CFCS. if you run into a lot of issues with speed, you can use one of those to read it into a variable and then into the database
If you are playing with XML, do not use coldfusion's xml parsing. It works well for smaller files and has fits when things get bigger. There are several cfc's written out there (check riaforge, etc) that wrap some excellent java libraries for parsing xml data. You can then create a cfquery manually if need be with this data.
It's hard to tell without more info, but from what you have said I shoot out three ideas.
The first thing, is with so many database operations, it's possible that you are generating too much debugging. Make sure that under Debug Output settings in the administrator that the following settings are turned off.
Enable Robust Exception Information
Enable AJAX Debug Log Window
Request Debugging Output
The second thing I would do is look at those DB queries and make sure they are optimized. Make sure selects are happening with indicies, etc.
The third thing I would suspect is that the file hanging out in memory is probably suboptimal.
I would try looping through the file using file looping:
<cfloop file="#VARIABLES.filePath#" index="VARIABLES.line">
<!--- Code to go here --->
</cfloop>
Have you tried an event gateway? I believe those threads are not subject to the same timeout settings as page request threads.
SQL Server Integration Services (SSIS) is the recommended tool for complex ETL (Extract, Transform, and Load) work, which is what this sounds like. (It can be configured to access files on other servers.) The question might be, can you work up an interface between Cold Fusion and SSIS?
If you can upgrade to cf8 and take advantage of cfloop file="" which would give you greater speed and the file would not be put in memory (which is probably the cause of the crashing).
Depending on the situation you are encountering you could also use cfthread to speed up processing.
Currently, an event gateway is the only way to get around the timeout limits of an HTTP request cycle. CF does not have a way to process CF pages offline, that is, there is no command-line invocation (one of my biggest gripes about CF - very little offling processing).
Your best bet is to use an Event Gateway or rewrite your parsing logic in straight Java.
I had to do the same thing, Ben Nadel has written a bunch of great articles uses java file io, to allow you to more speedily read files, write files etc...
Really helped improve the performance of our csv importing application.