11. Write Dataframe to CSV File | Using PySpark

PySpark is an Application Programming Interface (API) for Apache Spark in Python . The Apache Spark framework is often used for. Large scale big data processing and machine learning workloads. Apache Spark is a huge improvement in big data processing capabilities from previous frameworks such as Hadoop MapReduce. This is due to its use of RDD’s or Resilient Distributed Datasets.

As greater amounts of data are being generated at rates faster than ever before in history. Skilled individuals are required, who have the ability to handle this data and use it to derive insights and provide value.

In this session, We will teach you how to how to write a dataframe to a csv file using pyspark within databricks. Databricks is a cloud-based big data processing platform. It has a community edition which gives you most of the platforms capabilities for free.

Dataframe to csv file
Dataframe to csv
Export dataframe to csv
Export dataframe to csv file

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GITHUB REPOSITORY:-
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Mockaroo :-
Tool to create sample data (csv etc..)

What is PySpark Introduction Video :-

Databricks Community Edition Setup Guide (Free Access to PySpark) :-

This video is part of a PySpark Tutorial playlist that will take you from beginner to pro.

✔ Topics You’ll Learn:

Csv
Dataframe write
Export
Csv file
Dataframe to csv file
Dataframe to csv
Export dataframe to csv
Export dataframe to csv file
Pyspark write to csv
Writing dataframe to csv file
Exporting dataframe to csv file
Write dataframe to csv using pyspark

Keywords :-

Pyspark
Pyspark Tutorial
Pyspark Introduction
Python Spark
Apache
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Python Spark
Azure Databricks
Azure Synapse
RDDDataframe
Databricks
Pyspark tutorial GitHub
Pyspark tutorial pdf
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Pyspark tutorialspoint
Pyspark tutorial udemi
Simply learning
Big Data
Using pyspark
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Data with Dominic

#bigdata #spark #pyspark #databricks #apache #azure #gcp #aws #tutorial #DataWithDominic #synapse

[vinodagoudapatil]

Content is going great!

Audio, I can hear only on my left side of headphones.

[aminesaib]

Where is the video where you show how to export your df to a single file?

[JunkMail-ibqo]

What is the follow-up video that shows how to 1) write to a single file, and 2) copy that single file to your desktop

[ninaad.sawant]

Hi, can we convert it to a flat csv which we can read via cat command

[bobvance]

When I do df.write.csv("Export/exportcsv.csv", header=True), I get this long Py4JJavaError, and it creates a folder literally called exportcsv.csv inside the Export folder. What am I doing wrong?


Py4JJavaError Traceback (most recent call last)
Cell In[42], line 1
----> 1 df.write.csv("Export/exportcsv.csv", header=True)

File ~\anaconda3\lib\site-packages\pyspark\sql\readwriter.py:1864, in DataFrameWriter.csv(self, path, mode, compression, sep, quote, escape, header, nullValue, escapeQuotes, quoteAll, dateFormat, timestampFormat, ignoreLeadingWhiteSpace, ignoreTrailingWhiteSpace, charToEscapeQuoteEscaping, encoding, emptyValue, lineSep)
1845 self.mode(mode)
1846 self._set_opts(
1847 compression=compression,
1848 sep=sep,
(...)
1862 lineSep=lineSep,
1863 )
-> 1864 self._jwrite.csv(path)

File ~\anaconda3\lib\site-packages\py4j\java_gateway.py:1322, in JavaMember.__call__(self, *args)
1316 command = proto.CALL_COMMAND_NAME +\
1317 self.command_header +\
1318 args_command +\
1319 proto.END_COMMAND_PART
1321 answer =
-> 1322 return_value = get_return_value(
1323 answer, self.gateway_client, self.target_id, self.name)
1325 for temp_arg in temp_args:
1326 if hasattr(temp_arg, "_detach"):

File ~\anaconda3\lib\site-packages\pyspark\errors\exceptions\captured.py:179, in capture_sql_exception.<locals>.deco(*a, **kw)
177 def deco(*a: Any, **kw: Any) -> Any:
178 try:
--> 179 return f(*a, **kw)
180 except Py4JJavaError as e:
181 converted =

File ~\anaconda3\lib\site-packages\py4j\protocol.py:326, in get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))

Py4JJavaError: An error occurred while calling o150.csv.
: 'boolean org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(java.lang.String, int)'
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[BasitAIi]

I am facing error while running this on jupyter notebook
Error :
Py4JJavaError: An error occurred while calling o62.csv.
: 'boolean org.apache.hadoop.io.nativeio.NativeIO$Windows.access0(java.lang.String, int)'