Azure synapse analytics – Spark
FAQ 1-
Answer: Yes
I’m having workspace capacity of 80vCores
Taking an example, if you have created a spark pool of Node size:
Small (4 vCore – 32 GB size) with 8 nodes.
Total pool size = 32vCores
You can set the number of nodes to be used for each notebook
Notebook 1: Total 3 nodes = (1 driver node and 2
executor nodes)
4vCores x 3 nodes = 12 vCores used
Notebook 2:
Total 4 nodes (1 driver node and 3 executor nodes)
4vCores x 4 = 16 vCores used
12 vCores + 16 vCores = 28 vCores
Total of pool size with 32vCores, 28vCores were utilized which
is 87.5% utilization.
You can run 2 notebooks having a single Spark pool
FAQ 2: Can these share the variables or Temporary views
created in their notebooks as they are attached to same pool?
Answer: No
Explanation:
Apache Spark for Synapse is designed as a job service and
not a cluster model. It creates a separate Apache Spark application to run each
notebook.
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