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[Solved] PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it Error Occurs?

Today I get the following error PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it in python.

How To Solve PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it Error ?

  1. How To Solve PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it Error ?

    To Solve PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it Error When you select the column with an alias you're still passing the wrong column name through a select clause.

  2. PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it

    To Solve PySpark: org.apache.spark.sql.AnalysisException: Attribute name … contains invalid character(s) among ” ,;{}()\n\t=”. Please use alias to rename it Error When you select the column with an alias you're still passing the wrong column name through a select clause.

Solution 1

Have you tried,

df = df.withColumnRenamed("Foo Bar", "foobar")

When you select the column with an alias you’re still passing the wrong column name through a select clause.

Solution 2

df = spark.read.parquet("my_parquet_dump")
df2 = df.withColumnRenamed("Foo Bar", "foobar")
df2.registerTempTable("temp")
hc.sql("CREATE TABLE persistent STORED AS PARQUET AS SELECT * FROM temp")

What error messages are you getting?

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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