DataDog/dd-trace-py v0.13.0

0.13.0

on GitHub

New integrations

• pymemcache integration (#511)

Celery integration

Due to some limitations with our Celery integration, we changed our instrumentation to a signals based approach. We also started using import hooks to instrument Celery, so that enabling the instrumentation doesn't trigger a celery import.

• Signals implementation: #530
• Moving to import hooks: #534
• Resolved issues: #357, #493, #495, #495, #510, #370

Breaking changes
Using the signal based approach increase the stability of our instrumentation, but it limits what is currently traced. This is a list of changes that are considered breaking changes in the behavior and not in the API, so no changes are needed in your code unless you want a different behavior:

• By default all tasks will be traced if they use the Celery signals API, so tasks invoked with methods like apply(), apply_async() and delay() will be traced but tasks invoked with run() will not be traced.
• patch_task() is deprecated; if it's used, all tasks will be instrumented

Bug fixes

• [core] check if bootstrap dir is in path before removal (#516 -- thanks @beezz!)
• [core] have hostname default to DATADOG_TRACE_AGENT_HOSTNAME environment variable if available (#509, #524 -- thanks @hfern!)
• [core] add WSGI-style http headers support to HTTP propagator (#456, #522)
• [core] Enable buffering on getresponse (#464, #527)
• [core] configure the root logger (#536)
• [aiopg] set the app_type during initialization (#492, #507)
• [boto] default to None if no region (#525, #526)
• [flask] avoid double instrumentation when TraceMiddleware is used (#538)
• [pymongo] fix multiple host kwargs (#535)
• [tornado] make settings object accessible during configuration (#499, #498 -- thanks @kave!)

Improvements

• [core/helpers] add a shortcut to retrieve Trace correlation identifiers (#488)

Read the full changeset and the release milestone.