Hm, interesting! I don't think many of us have used SparkSession.builder.getOrCreate repeatedly in the same process. What happens if you manually stop the spark session first, (session.stop() https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=sparksession#pyspark.sql.SparkSession.stop?) or maybe try to explicitly create a new session via newSession() https://spark.apache.org/docs/latest/api/python/pyspark.sql.html?highlight=sparksession#pyspark.sql.SparkSession.newSession ?
On Thu, Feb 6, 2020 at 7:31 PM Neil Shah-Quinn nshahquinn@wikimedia.org wrote:
Hi Luca!
Those were separate Yarn jobs I started later. When I got this error, I found that the Yarn job corresponding to the SparkContext was marked as "successful", but I still couldn't get SparkSession.builder.getOrCreate to open a new one.
Any idea what might have caused that or how I could recover without restarting the notebook, which could mean losing a lot of in-progress work? I had already restarted that kernel so I don't know if I'll encounter this problem again. If I do, I'll file a task.
On Wed, 5 Feb 2020 at 23:24, Luca Toscano ltoscano@wikimedia.org wrote:
Hey Neil,
there were two Yarn jobs running related to your notebooks, I just killed them, let's see if it solves the problem (you might need to restart again your notebook). If not, let's open a task and investigate :)
Luca
Il giorno gio 6 feb 2020 alle ore 02:08 Neil Shah-Quinn < nshahquinn@wikimedia.org> ha scritto:
Whoa—I just got the same stopped SparkContext error on the query even after restarting the notebook, without an intermediate Java heap space error. That seems very strange to me.
On Wed, 5 Feb 2020 at 16:09, Neil Shah-Quinn nshahquinn@wikimedia.org wrote:
Hey there!
I was running SQL queries via PySpark (using the wmfdata package https://github.com/neilpquinn/wmfdata/blob/master/wmfdata/hive.py) on SWAP when one of my queries failed with "java.lang.OutofMemoryError: Java heap space".
After that, when I tried to call the spark.sql function again (via wmfdata.hive.run), it failed with "java.lang.IllegalStateException: Cannot call methods on a stopped SparkContext."
When I tried to create a new Spark context using SparkSession.builder.getOrCreate (whether using wmfdata.spark.get_session or directly), it returned a SparkContent object properly, but calling the object's sql function still gave the "stopped SparkContext error".
Any idea what's going on? I assume restarting the notebook kernel would take care of the problem, but it seems like there has to be a better way to recover.
Thank you!
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