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Top Forums UNIX for Advanced & Expert Users Sqlite3: /lib/ld-Linux.so.2: bad ELF interpreter: Post 302846477 by steadyonabix on Saturday 24th of August 2013 07:45:36 AM
Old 08-24-2013
Sqlite3: /lib/ld-Linux.so.2: bad ELF interpreter:

Hi all

I'm hoping this is just me being a muppet, has anyone come across this problem before?

I am writing an application that uses sqlite3 and I have created a database using it -

Code:
sqlite3 muse.db
SQLite version 3.6.20
Enter ".help" for instructions
Enter SQL statements terminated with a ";"
sqlite> .tables
alarm                muse_hosts           suite
groups               runtime_environment  timer
job                  state
msgs                 state_machine_flags
sqlite> .q

If I run sqlite3 from the same directory as the database file all is well - as above.

But if I try to use a fully qualified path -

Code:
[brad@dev01o .muse_dev]$ /opt/brad/sqlite3 muse.db
-bash: /opt/brad/sqlite3: /lib/ld-linux.so.2: bad ELF interpreter: No such file or directory

Googling around would suggest that this is a problem with trying to run a 32 bit version of an executable on a 64 bit Centos server. I don't understand though why it is happy running without a fully qualified path in that case.

Can anyone provide any insight into what the problem is?

Thanks advance

Brad
 

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cleanup_digikamdb(1)													      cleanup_digikamdb(1)

NAME
cleanup_digikamdb - Cleanup the digiKam databases to reduce their sizes and increase access speed SYNOPSIS
cleanup_digikamdb [-t] [-T] [-p] [-h] OPTIONS
-t Include thumbnail databases. -T Only cleanup thumbnail databases. -p path Specify a different database path. If this option is not set or the specified path is invalid, the entry from the configuration file will be used. -h Show command line options. DESCRIPTION
cleanup_digikamdb will cleanup and optimize the digiKam database file. This will, in most cases, lead to a smaller database file size and an increased access speed, because unneeded elements are removed from the database and data is optimized. The program will make sure that no instance of digiKam is running, because it is more safe to have no database access during the optimiza- tion process. It then will read the digiKam configuration file and determine the database location. In a final step the database will be optimized by invoking the sqlite command 'VACUUM;' on it. If more then one database is found in this location, cleanup_digikamdb will op- timize every database found in this path and below. For further explanation, see the following description of the VACUUM command from the sqlite3 website: When an object (table, index, or trigger) is dropped from the database, it leaves behind empty space. This empty space will be reused the next time new information is added to the database. But in the meantime, the database file might be larger than strictly necessary. Also, frequent inserts, updates, and deletes can cause the information in the database to become fragmented - scrattered out all across the data- base file rather than clustered together in one place. The VACUUM command cleans the main database by copying its contents to a temporary database file and reloading the original database file from the copy. This eliminates free pages, aligns table data to be contiguous, and otherwise cleans up the database file structure. AUTHOR
cleanup_digikamdb was written by Andi Clemens <andi dot clemens at googlemail dot com> cleanup_digikamdb 24 October 2011 cleanup_digikamdb(1)
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