Parcing of the database
There will be 5 columns in the base.
The work must be done within 2 days and as a result give me a ready-made mysql base.
Client's review of cooperation with Vladimir G.
Parcing of the databaseThe work was done before the deadline. I recommend
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Freelancer's review of cooperation with client
Parcing of the databaseEverything is normal. A easy and understandable task.
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2073 116 0 Hi, I'll write a program to read your file and record in the BD. What is your SUBD?
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195 1 0 Hello, the task is not so difficult. Software to read certain data from the files I have, experience working with mysql is also present. Ready to implement in the shortest possible time
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1479 72 0 Hello to Victor.
I can do your task.
I need a sample of your tht file and to which database to translate the data.
You can talk to LS.
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213 1 0 Interesting task, experience of working with SQL and such data volumes are
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373 6 0 Good day I will do fast and quality I have experience working with BD
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1546 88 11 6 Ready to complete the task within a few hours. Experience in doing such work.
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483 12 0 Hello, I am ready to take your order. He has done such tasks unhealthy number of times. There is only the question of whether there is a column delimitor in the file. Thank you for your attention, don’t hurt.
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536 47 1 1 Hello, I can do it. Quality and in time.
Let’s write and discuss details.
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247 7 0 The task is ready to be done, but there are a few questions:
1) What principle to look for "need fields"
2) in the "need field" there are 5 parts that are located just as you will need to record in the base
3) What is the donor file format
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506 15 0 Hello to you. I will be happy to take your task. The file size is not a problem. As a result, I will send you a dump in the CSV or sql format, as you choose.
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499 45 4 Hello to you. I can solve the task without problems. Write and discuss details.
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2791 43 0 Ready to take your task. Send part of the file to understand what to work with.
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786 22 0 Hello Victor, I am ready to take your order. I do it very well and efficiently on Python.
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