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PySpark Join and Projection
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PySpark Join and Projection

EasySQL · PostgreSQL

Problem

Write a PySpark code to process the following tables: Emp table: Emp id, name, salary, location; Table 2: Empid, emp_designation. Output: Empid, emp_name, emp_designation

Asked in the Techno Managerial stage. Join employee table with designation table.

Output

  1. One row per employee present in both tables.
  2. Return Empid, emp_name, and emp_designation.
  3. Keep only matched employee records and sort the result by Empid in ascending order.

Schema

emp
ColumnTypeDescription
emp_idPKINTUnique employee identifier
nameVARCHAR(100)Employee name
salaryNUMERIC(12,2)Employee salary
locationVARCHAR(100)Employee location
designation
ColumnTypeDescription
empidINTEmployee identifier referencing emp.emp_id
emp_designationVARCHAR(100)Employee designation
Tablesempdesignation
Interviewer

Your question is PySpark Join and Projection. Start with the requirements and the two tables in the Question tab.

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