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authorearrage <eddie.arrage@huawei.com>2018-10-22 13:53:54 -0700
committerearrage <eddie.arrage@huawei.com>2018-10-22 14:04:38 -0700
commit2139f983fbe71bf6411259e8ddb460a79663dcb8 (patch)
tree0bf27000a9a1a73eebfab83f844b403fad45a5c1 /requirements.txt
parentee2169ee4b8fb3539ad173fbc1557b54b2f2216f (diff)
Initial commit for Spark to analyze visibility data
- Add Apache Spark 2.3 with native Kubernetes support. - Runs self contained within K8s cluster in clover-system namespace. One container (clover-spark) includes Clover Spark JAR artifact. This container interacts with the K8s API to spawn a spark-driver pod. This pod in turn spawns executor pods to execute Spark jobs. - Currently JAR is included in source for convenience and must be built with sbt (install sbt and execute sbt package) - Includes JAR from DataStax to provide Cassandra connector to analyze Cassandra schemas as RDDs (Resilient Distributed Dataset). - Includes Redis interface JAR to write analyzed data back to visibility (UI, CLI or API). - Second container (clover-spark-submit) submits Spark jobs continuously to allow Spark to be operated entirely within the cluster. - Two Spark jobs (CloverSlow, CloverFast) allows some analytics to be provided in real-time and other analytics to be provided over longer horizons. - Each Spark job spawns two executor pods. - Includes yaml manifest to deploy clover-spark-submit with the necessary RBAC permissions to interact with the K8s API. - Data analyzed includes tracing and metrics schemas obtained by clover-collector and written to Cassandra. - Docker builds of clover-spark and clover-spark-submit are provided and will be pushed as OPNFV DockerHub images in a separate patch. Change-Id: I2e92c41fd75d4ebba948c0f8cb60face57005e50 Signed-off-by: earrage <eddie.arrage@huawei.com>
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