csync/sqlite error when running ownCloud command - sqlite

I am running owncloudcmd to sync files from a local* path to an ownCloud/Nextcloud server, all running Debian 8. However it fails with the error:
[5] csync_statedb_query sqlite3_compile error: disk I/O error - on
query PRAGMA quick_check; [6] csync_statedb_load ERR: sqlite3
integrity check failed - bail out: disk I/O error. #### ERROR during
csync_update : "CSync failed to load the journal file. The journal
file is corrupted."
I am not very familiar with csync or sqlite so I am a bit in the dark and although I can find talk of this issue through googling, I can't find a fix. The data in this case can be dumped to start over so I'm happy to flush any database or anything else. I've trying removing the created csync and journal files assuming one of them was corrupted but it doesn't seem to change anything.
I have read talk about changing PRAGMA settings to ignore the error (or check) but I can't see how this is implemented either.
Is anyone able to show me how to clear out the corruption?
*the local file is a mounted path to an AWS S3 bucket but I think this is irrelevant because it is working on other systems fine.

Related

DBD::SQLite::db commit failed: disk I/O error

I have a system writing data to an sqlite file. I had everything operational under CentOS 8. After upgrading the system to Rocky Linux 9 I see this error when running a commit command: DBD::SQLite::db commit failed: disk I/O error
I have checked file permissions, disk space, SMART readings, everything disk related that I can think of but without success.
Has anyone encountered this error before? What could I try to fix it?
The problem turned out to be a missing Perl module (LWP::https) that was causing DBD::SQLite not to get the data it wanted. Apparently, DBD::SQLite says Disk I/O error for that case.

Grakn Error; trying to load schema for "phone calls" example

I am trying to run the example grakn migration "phone_calls" (using python and JSON files).
Before reaching there, I need to load the schema, but I am having trouble with getting the schema loaded, as shown here: https://dev.grakn.ai/docs/examples/phone-calls-schema
System:
-Mac OS 10.15
-grakn-core 1.8.3
-python 3.7.3
The grakn server is started. I checked and the 48555 TCP port is open, so I don't think there is any firewall issue. The schema file is in the same folder (phone_calls) as where the json data files is, for the next step. I am using a virtual environment. The error is below:
(project1_env) (base) tiffanytoor1#MacBook-Pro-2 onco % grakn server start
Storage is already running
Grakn Core Server is already running
(project1_env) (base) tiffanytoor1#MacBook-Pro-2 onco % grakn console --keyspace phone_calls --file phone_calls/schema.gql
Unable to create connection to Grakn instance at localhost:48555
Cause: io.grpc.StatusRuntimeException
UNKNOWN: Could not reach any contact point, make sure you've provided valid addresses (showing first 1, use getErrors() for more: Node(endPoint=/127.0.0.1:9042, hostId=null, hashCode=5f59fd46): com.datastax.oss.driver.api.core.connection.ConnectionInitException: [JanusGraph Session|control|connecting...] init query OPTIONS: error writing ). Please check server logs for the stack trace.
I would appreciate any help! Thanks!
Nevermind -- I found the solution, in case any one else runs into a similar problem. The server configuration file needs to be edited: point the data directory to your project data files (here: the phone_calls data files) & change the server IP address to your own.

Lucene index gets broken segments after every restart of liferay-tomcat

I have a corrupted Lucene index. If I run "CheckIndex -fix" the problem is resolved, but as soon as I restart tomcat it becomes corrupted again.
The index directory is shared between two application servers running Liferay-Tomcat. I am fixing the index on 1 server and restarting that whilst the other is running. This is a production environment so I cannot bring them both down.
Any suggestions please?
Before fix, CheckIndex says:
Opening index # /usr/local/tomcat/liferay/lucene/0
Segments file=segments_5yk numSegments=1 version=FORMAT_SINGLE_NORM_FILE [Lucene 2.2]
1 of 1: name=_2vg docCount=31
compound=false
hasProx=true
numFiles=8
size (MB)=0.016
no deletions
test: open reader.........FAILED
WARNING: fixIndex() would remove reference to this segment; full exception:
java.io.IOException: read past EOF
at org.apache.lucene.store.BufferedIndexInput.refill(BufferedIndexInput.java:151)
at org.apache.lucene.store.BufferedIndexInput.readByte(BufferedIndexInput.java:38)
at org.apache.lucene.store.IndexInput.readVInt(IndexInput.java:78)
at org.apache.lucene.index.FieldInfos.read(FieldInfos.java:335)
at org.apache.lucene.index.FieldInfos.<init>(FieldInfos.java:71)
at org.apache.lucene.index.SegmentReader$CoreReaders.<init>(SegmentReader.java:119)
at org.apache.lucene.index.SegmentReader.get(SegmentReader.java:652)
at org.apache.lucene.index.SegmentReader.get(SegmentReader.java:605)
at org.apache.lucene.index.CheckIndex.checkIndex(CheckIndex.java:491)
at org.apache.lucene.index.CheckIndex.main(CheckIndex.java:903)
WARNING: 1 broken segments (containing 31 documents) detected
WARNING: would write new segments file, and 31 documents would be lost, if -fix were specified
If you access your search index with more than one application server, I would suggest integrating a Solr Server. So you don't have the problem that 2 app servers are trying to write on the same file. This could be error prone as you already found out.
To get Solr up and running you have to follow those steps:
Install a Solr Server on any machine you like. A machine running only Solr would be quite preferable.
Install the Solr search portlet in Liferay
Adjust the config files according to the setup document of Sol Search portlet.
Here are some additional links:
http://www.liferay.com/de/marketplace/-/mp/application/15193648
http://www.liferay.com/de/community/wiki/-/wiki/Main/Pluggable+Enterprise+Search+with+Solr

fast export unexplained failure

I have roughly 14 million records that I am attempting to export from a Teradata table to file using a fast export connection object.
There is no size limit for fast export files on our Linux system, and there is 1.2 TB of available space in the target directory.
The session fails, and gives the following errors:
READER_2_1_1 FEXP_87011 Process [16022] exited with status [12]
SDKS_38200 Partition-level [SOURCE_TABLE_NAME]: Plug-in #305400 failed in deinit()
I googled the error message, and found this post:
Here
I followed the recommendations in the port to delete the .out file in the temp directory, delete the files that were partially filled in the target directory, and drop the error table and delete the log file. This did not fix the issue and the session still fails with the same error messages.
Try to use TPT Export plug-in instead. Also you can try to execute this FastExport using bteq scripts directly on your unix environment.

SVN - SQLite - disk I/O error

When trying to commit to my SVN repository, I got the following error:
Working copy 'Z:\prace-pj\projects\other\CopyRT' locked.
So I run the clean up command and then the commit succeeded, but at the end of the response message, there was the following error:
Error bumping revisions post-commit (details follow):
disk I/O error, executing statement 'RELEASE s11'
Now when I try to e.g. update the repository, it says that it is stil locked. When I clean up and try to update again, I get an error like this:
disk I/O error, executing statement 'RELEASE s2'
sqlite: disk I/O error
What should I do to fix this?
For others reference, I just had this same error and found that one of my log files was taking up all my space (and could not write to the HDD because there was no free space).
Run (to make sure you have enough disk space)
df -h
Then I just needed to run:
svn cleanup
This resolved the error for me.
have you tried:
svn unlock --force path/to/workingcopy
? Seems it can be pointed at a url if the problem is in the repository itself... I've only used an unlock operation via the tortoise gui before, but I assume it just wraps the svn command anyway.
hope that helps

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