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authorFabian Mastenbroek <mail.fabianm@gmail.com>2020-07-17 17:25:45 +0200
committerFabian Mastenbroek <mail.fabianm@gmail.com>2020-08-24 19:48:08 +0200
commit0a895abfe307fbb6a28ceac6a07c5ac4863627fd (patch)
tree82e0d4f9810c16cf4b1fde247545dde9778ce6d1 /api/opendc
parent9f85e80e40a663e3ebaf46a16f27332c4b7f0b53 (diff)
Add data processing pipeline via Spark
This change adds support for processing the experimental results by means of a Spark data processing pipeline.
Diffstat (limited to 'api/opendc')
-rw-r--r--api/opendc/api/v2/schedulers/endpoint.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/api/opendc/api/v2/schedulers/endpoint.py b/api/opendc/api/v2/schedulers/endpoint.py
index a96fdd88..127b5f1a 100644
--- a/api/opendc/api/v2/schedulers/endpoint.py
+++ b/api/opendc/api/v2/schedulers/endpoint.py
@@ -1,6 +1,6 @@
from opendc.util.rest import Response
-SCHEDULERS = ['DEFAULT']
+SCHEDULERS = ['core-mem']
def GET(_):