Juan Rodriguez Hortala

Results 30 comments of Juan Rodriguez Hortala

There is bug in the UI tests that was fixed in 4.11 and that was back ported to 4.10 in https://github.com/openshift/console/pull/11966, and it is currently WIP for 4.9 in https://github.com/openshift/console/pull/11977....

I have https://github.com/juanrh/thanos/commits/add-path-content-reloader-with-relabeller-2 for this but it depends on https://github.com/thanos-io/thanos/pull/5673 that adds a generic mechanism for reloading configuration. I should be able to have a PR for this soon after...

See precedent for spark in http://forum.odroid.com/viewtopic.php?f=98&t=21369 and check - problems with big.LITTLE cores for the XU4 - configuration for number of cores and trade off with memory: should be possible...

other interesting precedent http://climbers.net/sbc/40-core-arm-cluster-nanopc-t3/

According to https://ci.apache.org/projects/flink/flink-docs-release-1.1/setup/yarn_setup.html HDFS is required for running flink on YARN, because flink uses HDFS to distribute the über jar, just like mapreduce. Possible options - run a single node...

For Spark, if we have a separate head node, then [the driver would run](http://spark.apache.org/docs/latest/running-on-yarn.html) either in the head node (yarn client mode) or a container in a o-droid slave (yarn...

a test case for safeWordLenght in src/test/scala/es/ucm/fdi/sscheck/prop/tl/FormulaTest.scala is pending before closing this issue

basic shrinking support is available for `BatchGen`

For `PDStreamGen` a trivial generator like the following makes no sense for temporal generators: ``` scala implicit def shrinkDStream[A] : Shrink[PDStream[A]] = Shrink(pdstream => // unwrap the underlying Seq, shrink...