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This repository has been archived by the owner on Mar 18, 2020. It is now read-only.

Releases: kamon-io/kamon-jdbc

v2.0.1 - Additional JDBC Driver Support

14 Aug 20:27
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New Features:

  • #22 The JDBC instrumentation now targets the latest MySQL ConnectorJ and Amazon RedShift.

Changes

  • The ErrorOnFailedStatement processor is no longer enabled by default. This is due to the fact that most people already have a mechanism to log JDBC statement failures so most people would end up with errors being logged twice.

v2.0.0-RC2 - Avoid Loading Instrumented Classes

21 Jun 11:16
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Fixes

  • Ensures that the instrumentation will not try to load Slick's AsyncExecutor during initialization. This wouldn't cause any problem for the users, but would show a warning saying that the class could not be found if while Kanela tries to load the module and Slick is not present.

v2.0.0-RC1 - Upgrade to Kamon 2.0.0-RC1

18 Jun 14:50
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Pre-release

Nothing major other than the upgrade to Kamon 2.0.0-RC1

v1.1.0 - Slick Support and SQLite Driver

05 Jun 06:09
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Slick Support

Before this release, if you wanted to use Kamon and Slick together you would need to use the code from this gist by @kubukoz, but there is no need for that anymore as here we are packing instrumentation for the Slick's AsyncExecutor.

SQLite Driver Support

We had to explicitly match certain classes from the SQLite driver in order for it to work as expected with this module so, if you were having issues with SQLite + Kamon before, now is the time to try again!

No more Scala 2.10

This release no longer publishes an artifact for Scala 2.10.

v1.0.2 - Rethrow exceptions

27 Mar 14:37
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Minor Fix:

This release includes a single minor fix: rethow the exception when error happen, otherwise a java.lang.ClassCastException would be thrown. Contributed by @dpsoft in c523adf

v1.0.1 - Include MySQL Connector/J 6.x and 8.x packages

02 Mar 09:40
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Minor Fix:

This release includes a single minor fix: adding the packages for MySQL Connector/J 6.x and 8.x to our aop.xml file, otherwise a java.lang.ClassCastException would be thrown when trying to use the JDBC driver. Contributed by @ivantopo in ae81a3d