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Releases: m-lab/etl

Production Release with Dataset Based on IsBatch and Datatype

12 Jun 19:15
376c25c

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This also tweaks the production daily queue rate. It has been nearly saturated, so this doubles the rate to allow plenty of headroom, but still provide some smoothing.

Production Release with Dataset Based on IsBatch and Datatype

12 Jun 12:45
cab5beb

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This introduces logic to choose the output table dataset based on the datatype, and whether the instance is a batch processing instance. This allows processing all sidestream data to a private table, so that embargoed data is not exposed.

Release: NDT with IPv6 fixes

02 Apr 21:28
aff7ed1

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0.7.2 was missing a key bit of code that actually fixes the triple colon in annotator requests.

Web100 library produces bad ipv6 addresses, with triple colon :::
New code normalizes these addresses to avoid dropping records.

Release: NDT with IPv6 fixes

22 Mar 13:16
d0fda75

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Web100 library produces bad ipv6 addresses, with triple colon :::
New code normalizes these addresses to avoid dropping records.

Release: DISCO, Sidestream, ParisTraceroute

14 Feb 00:19
251dfc1

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This is a point release to correct the DISCO target project name to "measurement-lab".

Release: DISCO, Sidestream, ParisTraceroute

13 Feb 19:02
36369cf

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This release includes adding DISCO to the set of production parsers.

Also included in the release are the latest changes to Sidestream, ParisTraceroute, and the QueuePusher.

Release: NDT with table labels

13 Feb 22:36
36369cf

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This release tags NDT for prod.

This version includes metrics with table labels for use by the common dashboard. Old dashboards will continue to work without modification.

Deploy sandbox gardener instance.

06 Feb 23:28

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Pre-release

Fix json file name.

Use base_tables dataset instead of public

02 Feb 18:36
13dd92d

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This updates the views to use the base_tables dataset, as decided in developing the release strategy for blog post.
Previous had a small travis bug.

Use base_tables dataset instead of public

02 Feb 18:09
1d4e2a9

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This updates the views to use the base_tables dataset, as decided in developing the release strategy for blog post.