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read csv in spark

Graceful Goat answered on August 31, 2020 Popularity 10/10 Helpfulness 10/10

answer read csv in spark

read csv in spark

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df = spark.read.format("csv").option("header", "true").load("csvfile.csv")

Popularity 10/10 Helpfulness 10/10 Language python

Source: stackoverflow.com

Tags: csv python

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Contributed on Sep 15 2020

Graceful Goat

0 Answers Avg Quality 2/10

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reading csv in spark

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# Reading CSV file into a data frame
file = "your_csv_file.csv"
schema = "DEST_COUNTRY_NAME STRING, ORIGIN_COUNTRY_NAME STRING, COUNT INT" # If any
df = (spark.read.format("csv")
    .option("header", "true")
    .schema(schema)
    .option("mode", "FAILFAST") # Exit if any errors 
    .option("nullValue", "") # Replace any null data field with quotes / ""
    .load(file))

# Reading a CSV file into a Spark SQL table
spark.sql("""CREATE OR REPLACE TEMPORARY VIEW view_name
        USING csv 
        OPTION (
            path csv_path_location
            header "true"
            inferSchema "true"
            mode "FAILFAST)""")

# Writing DataFrames to CSV files 
df.wirte.format("csv").mode("overwrite").save("csv_path_you_want_to_save")

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: csv

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Contributed on Sep 21 2022

MazelTov27

0 Answers Avg Quality 2/10

read csv in spark

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df = spark. read . format("csv") . option("header", "true")

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: csv

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Contributed on Aug 31 2020

Graceful Goat

0 Answers Avg Quality 2/10

read csv in spark

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read csv in spark

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reading csv in spark

read csv in spark

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