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fix - java config #85

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fix - java config #85

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b2b8088
make java config changes
akash4488 Dec 19, 2025
c61e86c
fix 2
akash4488 Dec 19, 2025
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11 changes: 11 additions & 0 deletions chapter2/py/src/mnmcount.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from __future__ import print_function

import sys
import os

from pyspark.sql import SparkSession

Expand All @@ -9,9 +10,16 @@
print("Usage: mnmcount <file>", file=sys.stderr)
sys.exit(-1)

# Set Java system properties to fix Java 23 compatibility issues
os.environ["PYSPARK_SUBMIT_ARGS"] = "--conf spark.driver.extraJavaOptions='-Djava.security.manager=allow' --conf spark.executor.extraJavaOptions='-Djava.security.manager=allow' pyspark-shell"

spark = (SparkSession
.builder
.appName("PythonMnMCount")
.config("spark.driver.extraJavaOptions", "-Djava.security.manager=allow")
.config("spark.executor.extraJavaOptions", "-Djava.security.manager=allow")
.config("spark.sql.adaptive.enabled", "false")
.config("spark.sql.adaptive.coalescePartitions.enabled", "false")
.getOrCreate())
# get the M&M data set file name
mnm_file = sys.argv[1]
Expand Down Expand Up @@ -42,4 +50,7 @@

# show the resulting aggregation for California
ca_count_mnm_df.show(n=10, truncate=False)

# Stop the Spark session
spark.stop()

13 changes: 12 additions & 1 deletion chapter3/py/src/Example-3_6.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,10 @@
from pyspark.sql.types import *
from pyspark.sql import SparkSession
from pyspark.sql.functions import *
import os

# Set Java system properties to fix Java 23 compatibility issues
os.environ["PYSPARK_SUBMIT_ARGS"] = "--conf spark.driver.extraJavaOptions='-Djava.security.manager=allow' --conf spark.executor.extraJavaOptions='-Djava.security.manager=allow' pyspark-shell"

# define schema for our data
schema = StructType([
Expand All @@ -26,6 +30,10 @@
spark = (SparkSession
.builder
.appName("Example-3_6")
.config("spark.driver.extraJavaOptions", "-Djava.security.manager=allow")
.config("spark.executor.extraJavaOptions", "-Djava.security.manager=allow")
.config("spark.sql.adaptive.enabled", "false")
.config("spark.sql.adaptive.coalescePartitions.enabled", "false")
.getOrCreate())
# create a DataFrame using the schema defined above
blogs_df = spark.createDataFrame(data, schema)
Expand All @@ -40,4 +48,7 @@
blogs_df.select(expr("Hits * 2")).show(2)
# show heavy hitters
blogs_df.withColumn("Big Hitters", (expr("Hits > 10000"))).show()
print(blogs_df.schema)
print(blogs_df.schema)

# Stop the Spark session
spark.stop()