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employee table

Language: Layout:
View schema
Execution time: 0,06 sec, rows selected: 81, rows affected: 6, absolute service time: 0,28 sec, absolute service time: 0,28 sec 
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   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 2 bob 80000 21 male support
3 3 anne 125000 25 female analytics
4 4 julia 73000 30 female analytics
5 5 matt 159000 33 male sales
6 6 jeff 112000 27 male operations
   e_name
1 sam
2 bob
3 anne
4 julia
5 matt
6 jeff
   e_gender
1 male
2 male
3 female
4 female
5 male
6 male
   e_gender
1 female
2 male
   e_id e_name e_salary e_age e_gender e_dept
1 2 bob 80000 21 male support
2 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 3 anne 125000 25 female analytics
3 5 matt 159000 33 male sales
4 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 2 bob 80000 21 male support
3 5 matt 159000 33 male sales
4 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 2 bob 80000 21 male support
3 5 matt 159000 33 male sales
4 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 2 bob 80000 21 male support
3 5 matt 159000 33 male sales
4 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 4 julia 73000 30 female analytics
3 5 matt 159000 33 male sales
   e_id e_name e_salary e_age e_gender e_dept
1 4 julia 73000 30 female analytics
2 6 jeff 112000 27 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 4 julia 73000 30 female analytics
2 5 matt 159000 33 male sales
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
   e_id e_name e_salary e_age e_gender e_dept
1 1 sam 95000 45 male operations
2 6 jeff 112000 27 male operations
   (No column name)
1 21
   (No column name)
1 159000
   (No column name)
1 4
   (No column name)
1 2
   (No column name)
1 644000
   (No column name)
1 30
   (No column name)
1 akshat
   (No column name)
1 akshat
   (No column name)
1 akshat is a gud boy
   (No column name)
1 AKSHAT IS A GUD BOY
   (No column name)
1 yob dug a si tahska
   (No column name)
1 gud
   (No column name)
1 AKSHAT ROCKS
   (No column name)
1 akshat rocks
   e_id e_name e_salary e_age e_gender e_dept
1 4 julia 73000 30 female analytics
2 2 bob 80000 21 male support
3 1 sam 95000 45 male operations
4 6 jeff 112000 27 male operations
5 3 anne 125000 25 female analytics
6 5 matt 159000 33 male sales
   e_id e_name e_salary e_age e_gender e_dept
1 5 matt 159000 33 male sales
2 3 anne 125000 25 female analytics
3 6 jeff 112000 27 male operations
4 1 sam 95000 45 male operations
5 2 bob 80000 21 male support
6 4 julia 73000 30 female analytics
   e_id e_name e_salary e_age e_gender e_dept
1 4 julia 73000 30 female analytics
2 2 bob 80000 21 male support
3 1 sam 95000 45 male operations
4 6 jeff 112000 27 male operations
5 3 anne 125000 25 female analytics
6 5 matt 159000 33 male sales

    
                
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