[jira] [Created] (SPARK-30006) printSchema indeterministic output

["Hasil Sharma (Jira)" <ji...@apache.org>]

Hasil Sharma created SPARK-30006:
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             Summary: printSchema indeterministic output
                 Key: SPARK-30006
                 URL: https://issues.apache.org/jira/browse/SPARK-30006
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 2.4.4
            Reporter: Hasil Sharma


printSchema doesn't give a consistent output in following example.

 

```python

from pyspark.sql import SparkSession
from pyspark.sql import Row

spark = SparkSession.builder.appName("new-session").getOrCreate()
l = [('Ankit',25),('Jalfaizy',22),('saurabh',20),('Bala',26)]
rdd = spark.sparkContext.parallelize(l)
people_1 = rdd.map(lambda x: Row(name=x[0], age=int(x[1])))

df1 = spark.createDataFrame(people_1)

print(df1.printSchema())

df2 = df1.select("name", "age")

print(df2.printSchema())

```

 

first print outputs

```

root
 |-- age: long (nullable = true)
 |-- name: string (nullable = true)

```

 

second print outputs

```

root
 |-- name: string (nullable = true)
 |-- age: long (nullable = true)

```

Expectation: The output should be same because the column names are same.



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