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ab0674b5fb
Signed-off-by: Robby Workman <rworkman@slackbuilds.org>
40 lines
2 KiB
Text
40 lines
2 KiB
Text
This is an important excerpt from ReleaseNotes that came with bacula version
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5.2.1 which explains updating database from 5.0.x version to 5.2.x. If you
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are upgrading, it would be in your best interest to read and understand the
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following:
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New Catalog format in version 5.2.0 and greater
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-----------------------------------------------
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This release of Bacula uses a new catalog format. We provide a set of
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scripts that permit to convert a 5.0.x (version 12) catalog to 5.2.1 (version
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14). The Bacula project rpm spec files have been modified to
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detect the database change and do the upgrade for you. We strongly
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recommend that you save a copy of your existing database before upgrading
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using rpms.
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The simplest way to upgrade the database assuming you are building from
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source (i.e. manually):
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1. Stop any current version of Bacula from running.
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2. Save a copy of your existing database.
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3. Configure, build, and install the 5.2.1 version of Bacula
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Note the new ./configure options in the manuals see the link
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at the bottom of this file.
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4. cd <your-scripts-installation-directory>
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5. ./update_bacula_tables
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6. If you have multiple catalogs, edit the update_bacula_tables
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script and put the name of another database, and then
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execute the script again. Repeat this until all Bacula
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catalogs have been updated.
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7. Start the new Bacula. If everything worked, it should
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not print any error messages.
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If you start from scratch, you don't need to run the update_bacula_tables
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script because the create_bacula_tables script automatically creates the new
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table format. However, if you are using a version of Bacula older than 5.0.0
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(e.g. 3.0.3) then you need to run the update_bacula_tables script that will
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be found in the <bacula>/src/cats directory after you run the ./configure
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command. As mentioned above, before running this script, please backup your
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catalog database, and when you do running it, be sure shutdown Bacula and be
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aware that running the script can take some time depending on your database
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size.
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