Comments (4)
@adamaps If you are running Sedona in a cluster mode, this needs to be set via spark.executorEnv.[EnvironmentVariableName]
: https://spark.apache.org/docs/latest/configuration.html
In your case, you might want to try this:
spark.executorEnv.sedona.global.charset utf8
spark.executorEnv is a runtime config that can be set after your SparkSession or SedonaContext has been initiated.
spark.conf.set("spark.executorEnv.sedona.global.charset","utf8")
sedona.conf.set("spark.executorEnv.sedona.global.charset","utf8")
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Thank you for the quick response, @jiayuasu !
I tested the following in client mode
before creating the Sedona SparkSession
/SparkContext
(via a local Docker container):
conf = SparkConf()
conf.set("sedona.global.charset", "utf8") # I have other conf settings not shown here
spark = SparkSession.builder.config(conf=conf).getOrCreate()
sedona = SedonaContext.create(spark)
And I tested both of the following in cluster mode
after creating the Sedona SparkSession
/SparkContext
(via AWS Glue):
spark.conf.set("spark.executorEnv.sedona.global.charset","utf8")
sedona.conf.set("spark.executorEnv.sedona.global.charset","utf8")
Unfortunately I still see the same issue in both cases.
Are you able to replicate (or reject) the issue using the attached shapefile sample?
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