23. join function in PySpark | inner, left, right, full, anti, semi Joins in pyspak

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  • Опубликовано: 17 окт 2024
  • Azure Databricks #spark #pyspark #azuredatabricks #azure
    In this video, I discussed how to use join functions in pyspark.
    1. inner function in pyspark
    2. left function in pyspark
    3. right function in pyspark
    4. full function in pyspark
    5. semi function in pyspark
    6. anti function in pyspark
    Create dataframe:
    ======================================================
    #create employee
    data = [(1,"Susheel","10","M",4000),
    (2,"Bhallar","20","M",3000),
    (3,"Prabhu","10","M",4000),
    (4,"Sandhya","10","F",2000),
    (5,"Vaibhav","40","M",3500),
    (6,"Amrita","50","F",2500)]
    schema = ["empid","empname","deptid","gender","salary"]
    empDF = spark.createDataFrame(data, schema)
    #create department
    dept = [("Finance",10),
    ("Marketing",20),
    ("Sales",30),
    ("IT",40)
    ]
    deptschema = ["deptname","deptid"]
    deptDF = spark.createDataFrame(dept, deptschema)
    display(empDF)
    display(deptDF)
    ============================================================
    Learn PySpark, an interface for Apache Spark in Python. PySpark is often used for large-scale data processing and machine learning.
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Комментарии • 7

  • @sravankumar1767
    @sravankumar1767 Год назад +1

    Nice explanation bro 👍 👌 👏

  • @Tushar0797
    @Tushar0797 Год назад +1

    Please make a video on how to explain the data engineer project

  • @sravankumar1767
    @sravankumar1767 Год назад +1

    Hi bro, I have shared the mapping document to ur email, have you seen the document. can you please tell me the solution for this kne document