I use the nyc library to check test coverage.
When I run the tests and they pass successfully, I get an empty table.
----------|----------|----------|----------|----------|-------------------|
File | % Stmts | % Branch | % Funcs | % Lines | Uncovered Line #s |
----------|----------|----------|----------|----------|-------------------|
All files | 0 | 0 | 0 | 0 | |
----------|----------|----------|----------|----------|-------------------|
But when one of the tests fails, the table is filled.
File | % Stmts | % Branch | % Funcs | % Lines | Uncovered Line #s |
---------------------------|----------|----------|----------|----------|-------------------|
All files | 31.64 | 9.25 | 11.76 | 31.86 | |
src | 96.55 | 100 | 66.67 | 96.55 | |
index.js | 96.43 | 100 | 66.67 | 96.43 | 44 |
src/config | 93.75 | 80 | 100 | 93.75 | |
constants.js | 100 | 100 | 100 | 100 | |
multer.config.js | 88.89 | 80 | 100 | 88.89 | 13 |
s3.config.js | 100 | 100 | 100 | 100 | |
src/controllers | 30.5 | 6.49 | 10.68 | 30.77 | |
activateProducts.js | 30.34 | 5.56 | 22.22 | 29.89 |... 26,130,131,138 |
admins.js | 18.92 | 0 | 0 | 18.92 |... 59,265,271,277 |
bookmarks.js | 61.29 | 33.33 | 66.67 | 60 |... 42,43,48,49,56 |
categories.js | 15.38 | 0 | 0 | 16 |... 98,205,213,219 |
comments.js | 20.83 | 0 | 0 | 21.74 |... 31,132,139,147 |
configurations.js | 16.26 | 0 | 0 | 17.39 |... 94,199,200,207 |
filters.js | 19.15 | 0 | 0 | 20 |... 77,81,82,86,87 |
followers.js | 22.67 | 0 | 0 | 23.61 |... 21,127,128,135 |
likes_merchants.js | 31.71 | 0 | 0 | 32.5 |... 58,59,66,67,74 |
likes_products.js | 31.71 | 0 | 0 | 32.5 |... 58,59,66,67,74 |
locations.js | 15.69 | 0 | 0 | 16.33 |... 26,233,241,247 |
locationsType.js | 18.6 | 0 | 0 | 19.51 |... 60,167,175,181 |
merchants.js | 34.62 | 0 | 0 | 36 |... 26,27,34,35,42 |
merchantsSignup.js | 26.56 | 0 | 0 | 26.56 |... 16,218,219,221 |
merchantsVerifyPhone.js | 39.02 | 0 | 0 | 39.02 |... 75,79,84,85,92 |
products.js | 47.24 | 20.62 | 52.17 | 46.39 |... 16,422,428,434 |
productsSold.js | 51.35 | 20 | 50 | 50 |... 49,54,55,62,70 |
saveTokenOfUsers.js | 40.74 | 0 | 0 | 42.31 |... 35,36,41,42,49 |
updateLocationOUsers.js | 28.07 | 0 | 0 | 28.57 |... 3,94,98,99,106 |
userBookmarks.js | 73.17 | 50 | 50 | 71.79 |... 44,53,54,61,69 |
userProducts.js | 81.4 | 50 | 50 | 80.49 |... 42,58,59,66,74 |
users.js | 15.91 | 0 | 0 | 16.41 |
---------------------------|----------|----------|----------|----------|-------------------|
With what it can be connected?
My main test file, where I import the rest of the tests.
import './products/allProductsTest';
Product test folder.
products:
- addProductsTest.js
- allProductsTest.js
- deleteProductsTest.js
- getProductTest.js
- listProductsTest.js
- updateProductsTest.js
Related
I have code that unpivots columns into rows. There are 19 categories of data, 15 of which have been unpivoted. However, my problem is that some of the tables that are unpivoted are not showing up on the new rows. I am asking for anyone's expertise to help as this will be helpful for me in future endeavors. I have created a table. Bear in mind this time is extremely wide/long and has 131 columns I believe and only 7 rows. Below is the table of the original data (it is make believe data of course but will be used for real data in the future). Also, the 2nd table is the how I want it to look. The 3rd table is how I how it actually looks. Under that is my code. I will glady upvote anyone who will help me. Thank you in advance.
Original data:
| usr | Company | Dept.# | Dept1 | Dept2 | Dept3 | Dept4 | Hr1 | Tr1 | F1 | A1 | HOH1 | M1 | R1 | SO1 | BIG1 | T1 | P1 | X1 | Y1 | Z1 | Tin1 | Hr1 | Tr1 | F1 | A1 | HOH1 | M1 | R1 | SO1 | BIG1 | T1 | P1 | X1 | Y1 | Z1 | Tin1 | Hr1 | Tr1 | F1 | A1 | HOH1 | M1 | R1 | SO1 | BIG1 | T1 | P1 | X1 | Y1 | Z1 | Tin1 | Hr1 | Tr1 | F1 | A1 | HOH1 | M1 | R1 | SO1 | BIG1 | T1 | P1 | X1 | Y1 | Z1 | Tin1 | Hr2 | Tr2 | F2 | A2 | HOH2 | M2 | R2 | SO2 | BIG2 | T2 | P2 | X2 | Y2 | Z2 | Tin2 | Hr2 | Tr2 | F2 | A2 | HOH2 | M2 | R2 | SO2 | BIG2 | T2 | P2 | X2 | Y2 | Z2 | Tin2 | Hr2 | Tr2 | F2 | A2 | HOH2 | M2 | R2 | SO2 | BIG2 | T2 | P2 | X2 | Y2 | Z2 | Tin2 | Hr3 | Tr3 | F3 | A3 | HOH3 | M3 | R3 | SO3 | BIG3 | T3 | P3 | X2 | Y2 | Z2 | Tin2 | Hr3 | Tr3 | F3 | A3 | HOH3 | M3 | R3 | SO3 | BIG3 | T3 | P3 | X3 | Y3 | Z3 | Tin3 | Hr4 | Tr4 | F4 | A4 | HOH4 | M4 | R4 | SO4 | BIG4 | T4 | P4 | X4 | Y4 | Z4 | Tin4 |
|------|---------|--------|-------|-------|-------|-------|-----|-----|-----|-----|------|----|----|-----|------|----|-----|-----|-----|----|------|-----|-----|----|-----|------|----|-----|-----|------|----|-----|-----|-----|----|------|-----|-----|----|-----|------|----|----|-----|------|-----|----|----|----|-----|------|-----|-----|----|-----|------|----|----|-----|------|----|----|-----|-----|----|------|-----|-----|-----|-----|------|----|----|-----|------|----|----|-----|----|-----|------|-----|-----|----|-----|------|----|----|-----|------|----|----|----|----|-----|------|-----|-----|-----|-----|------|----|----|-----|------|----|----|----|-----|----|------|-----|-----|-----|-----|------|----|-----|-----|------|----|----|-----|-----|----|------|-----|-----|-----|-----|------|----|----|-----|------|----|----|-----|-----|-----|------|-----|-----|-----|-----|------|----|----|-----|------|----|-----|-----|-----|-----|------|
| xxxx | OS | 1 | Train | | | | 20 | 89 | 355 | 123 | 435 | 90 | 5 | 55 | 676 | 34 | 43 | 984 | 345 | 74 | 846 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| xxxx | OPC | 2 | Poxy1 | Poxy2 | | | | | | | | | | | | | | | | | | 45 | 546 | 68 | 345 | 903 | 70 | 345 | 23 | 54 | 32 | 234 | 23 | 567 | 69 | 64 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 38 | 67 | 235 | 789 | 7 | 40 | 99 | 98 | 87 | 89 | 34 | 312 | 42 | 756 | 23 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| xxxx | Oxy R | 4 | H1 | H2 | H3 | H4 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 22 | 36 | 13 | 678 | 64 | 40 | 34 | 239 | 76 | 87 | 34 | 999 | 965 | 34 | 93 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 89 | 54 | 761 | 765 | 9 | 20 | 22 | 65 | 78 | 98 | 78 | 75 | 354 | 23 | 23 | | | | | | | | | | | | | | | | 36 | 80 | 123 | 543 | 17 | 20 | 11 | 908 | 988 | 7 | 86 | 245 | 546 | 763 | 324 | 25 | 90 | 111 | 432 | 84 | 25 | 63 | 784 | 98 | 78 | 854 | 754 | 234 | 865 | 43 |
| xxxx | HPK | 3 | Test1 | Test2 | Test3 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 99 | 456 | 39 | 567 | 223 | 50 | 5 | 32 | 549 | 435 | 34 | 87 | 64 | 348 | 942 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 52 | 21 | 47 | 876 | 1 | 30 | 46 | 92 | 78 | 12 | 34 | 12 | 12 | 421 | 23 | | | | | | | | | | | | | | | | 90 | 76 | 773 | 654 | 49 | 10 | 223 | 982 | 566 | 23 | 54 | 786 | 356 | 73 | 654 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| xxxx | Mano | 1 | Porp | | | | 42 | 657 | 645 | 234 | 344 | 80 | 45 | 364 | 97 | 23 | 634 | 34 | 23 | 87 | 84 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| xxxx | Macro | 2 | Otto1 | Otto2 | | | | | | | | | | | | | | | | | | 75 | 574 | 46 | 456 | 453 | 60 | 44 | 235 | 867 | 5 | 433 | 234 | 346 | 46 | 35 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 23 | 433 | 186 | 987 | 2 | 30 | 34 | 58 | 87 | 43 | 34 | 23 | 62 | 73 | 32 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
How I want it to look:
| usr | Company | Dept# | Dept | Hrs | Tr | F | A | HOH | M | R | SO | BIG | T | P | X | Y | Z | Tin |
|------|---------|-------|-------|-----|-----|-----|-----|-----|----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| xxxx | OS | 1 | Train | 20 | 89 | 355 | 123 | 435 | 90 | 5 | 55 | 676 | 34 | 43 | 984 | 345 | 74 | 846 |
| xxxx | OPC | 2 | Poxy1 | 45 | 546 | 68 | 345 | 903 | 70 | 345 | 23 | 54 | 32 | 234 | 23 | 567 | 69 | 64 |
| xxxx | OPC | 2 | Poxy2 | 38 | 67 | 235 | 789 | 7 | 40 | 99 | 98 | 87 | 89 | 34 | 312 | 42 | 756 | 23 |
| xxxx | Oxy R | 4 | H1 | 22 | 36 | 13 | 678 | 64 | 40 | 34 | 239 | 76 | 87 | 34 | 999 | 965 | 34 | 93 |
| xxxx | Oxy R | 4 | H2 | 89 | 54 | 761 | 765 | 9 | 20 | 22 | 65 | 78 | 98 | 78 | 75 | 354 | 23 | 23 |
| xxxx | Oxy R | 4 | H3 | 36 | 80 | 123 | 543 | 17 | 20 | 11 | 908 | 988 | 7 | 86 | 245 | 546 | 763 | 324 |
| xxxx | Oxy R | 4 | H4 | 25 | 90 | 111 | 432 | 84 | 25 | 63 | 784 | 98 | 78 | 854 | 754 | 234 | 865 | 43 |
| xxxx | HPK | 3 | Test1 | 99 | 456 | 39 | 567 | 223 | 50 | 5 | 32 | 549 | 435 | 34 | 87 | 64 | 348 | 942 |
| xxxx | HPK | 3 | Test2 | 52 | 21 | 47 | 876 | 1 | 30 | 46 | 92 | 78 | 12 | 34 | 12 | 12 | 421 | 23 |
| xxxx | HPK | 3 | Test3 | 90 | 76 | 773 | 654 | 49 | 10 | 223 | 982 | 566 | 23 | 54 | 786 | 356 | 73 | 654 |
| xxxx | Mano | 1 | Porp | 42 | 657 | 645 | 234 | 344 | 80 | 45 | 364 | 97 | 23 | 634 | 34 | 23 | 87 | 84 |
| xxxx | Macro | 2 | Otto1 | 73 | 574 | 46 | 456 | 453 | 60 | 44 | 235 | 867 | 5 | 433 | 234 | 346 | 46 | 35 |
| xxxx | Macro | 2 | Otto2 | 23 | 433 | 186 | 987 | 2 | 30 | 34 | 58 | 87 | 43 | 34 | 23 | 62 | 73 | 32 |
This is how it actually looks which is wrong. As you can see data is missing for some reason:
| usr | Company | Dept# | Dept | Hrs | Tr | F | A | HOH | M | R | SO | BIG | T | P | X | Y | Z | Tin |
|------|---------|-------|-------|-----|-----|-----|-----|-----|----|-----|-----|-----|-----|-----|-----|-----|-----|-----|
| xxxx | OS | 1 | Train | 20 | 89 | 355 | 123 | 435 | 90 | 5 | 55 | 676 | 34 | 43 | 984 | 345 | 74 | 846 |
| xxxx | OPC | 2 | Poxy1 | 45 | 546 | 68 | 345 | 903 | 70 | 345 | 23 | 54 | 32 | 234 | 23 | 567 | 69 | 64 |
| xxxx | OPC | 2 | Poxy2 | 38 | 67 | 235 | 789 | 7 | 40 | 99 | 98 | 87 | 89 | 34 | 312 | 42 | 756 | 23 |
| xxxx | Oxy R | 4 | H1 | 22 | 36 | 13 | 678 | 64 | 40 | 34 | 239 | 76 | 87 | 34 | 999 | 965 | 34 | 93 |
| xxxx | Oxy R | 4 | H2 | 89 | 54 | 761 | 765 | 9 | 20 | 22 | 65 | 78 | 98 | 78 | 75 | 354 | 23 | 23 |
| xxxx | Oxy R | 4 | H3 | | | | | | | | | | | | | | | |
| xxxx | Oxy R | 4 | H4 | | | | | | | | | | | | | | | |
| xxxx | HPK | 3 | Test1 | 99 | 456 | 39 | 567 | 223 | 50 | 5 | 32 | 549 | 435 | 34 | 87 | 64 | 348 | 942 |
| xxxx | HPK | 3 | Test2 | 52 | 21 | 47 | 876 | 1 | 30 | 46 | 92 | 78 | 12 | 34 | 12 | 12 | 421 | 23 |
| xxxx | HPK | 3 | Test3 | | | | | | | | | | | | | | | |
| xxxx | Mano | 1 | Porp | 42 | 657 | 645 | 234 | 344 | 80 | 45 | 364 | 97 | 23 | 634 | 34 | 23 | 87 | 84 |
| xxxx | Macro | 2 | Otto1 | 73 | 574 | 46 | 456 | 453 | 60 | 44 | 235 | 867 | 5 | 433 | 234 | 346 | 46 | 35 |
| xxxx | Macro | 2 | Otto2 | 23 | 433 | 186 | 987 | 2 | 30 | 34 | 58 | 87 | 43 | 34 | 23 | 62 | 73 | 32 |
Here is my code:
Sub buttonclick()
Dim Ary As Variant, Nary As Variant, Cary As Variant
Dim r As Long, c As Long, nr As Long, cc As Long
Cary = Array("0853", 6898, 113128, 143143)
With Sheets("Sheet1")
Ary = .Range("A2:DM" & .Range("A" & Rows.Count).End(xlUp).Row).Value2
End With
ReDim Nary(1 To UBound(Ary) * 4, 1 To 19)
For r = 1 To UBound(Ary)
For c = 4 To 7
If Ary(r, c) = "" Then Exit For
nr = nr + 1
Nary(nr, 1) = Ary(r, 1): Nary(nr, 2) = Ary(r, 2): Nary(nr, 3) = Ary(r, 3)
Nary(nr, 4) = Ary(r, c)
For cc = Left(Cary(c - 4), 2) To Right(Cary(c - 4), 2) Step 15
Nary(nr, 5) = Nary(nr, 5) & Ary(r, cc)
Nary(nr, 6) = Nary(nr, 6) & Ary(r, cc + 1)
Nary(nr, 7) = Nary(nr, 7) & Ary(r, cc + 2)
Nary(nr, 8) = Nary(nr, 8) & Ary(r, cc + 3)
Nary(nr, 9) = Nary(nr, 9) & Ary(r, cc + 4)
Nary(nr, 10) = Nary(nr, 10) & Ary(r, cc + 5)
Nary(nr, 11) = Nary(nr, 11) & Ary(r, cc + 6)
Nary(nr, 12) = Nary(nr, 12) & Ary(r, cc + 7)
Nary(nr, 13) = Nary(nr, 13) & Ary(r, cc + 8)
Nary(nr, 14) = Nary(nr, 14) & Ary(r, cc + 9)
Nary(nr, 15) = Nary(nr, 15) & Ary(r, cc + 10)
Nary(nr, 16) = Nary(nr, 16) & Ary(r, cc + 11)
Nary(nr, 17) = Nary(nr, 17) & Ary(r, cc + 12)
Nary(nr, 18) = Nary(nr, 18) & Ary(r, cc + 13)
Nary(nr, 19) = Nary(nr, 19) & Ary(r, cc + 14)
Next cc
Next c
Next r
With Sheets("Sheet2")
.UsedRange.ClearContents
.Range("A1").Resize(, 19).Value = Array("usr", "Company", "Dept.#", "Dept", "Hrs",
"Tr", "F", "A", "HOH", "M", "R", "SO", "BIG", _
"T", "P", "X", "Y", "Z", "Tin")
.Range("A2").Resize(nr, 19).Value = Nary
End With
End Sub
A part of my file consists in this:
Et SF
1 4.4937
1 5.1257
1 5.2018
1 5.3755
1 5.741
1 5.9086
1 6.1399
1 6.2518
2 3.0424
2 3.2744
2 3.883
2 3.9595
2 3.9892
2 4.1603
2 4.2943
2 4.5118
And I would like to transpose this way:
Et SF SF SF SF SF SF SF SF
1 4.4937 5.1257 5.2018 5.3755 5.741 5.9086 6.1399 6.2518
2 3.0424 3.2744 3.883 3.9595 3.9892 4.1603 4.2943 4.5118
Is it possible to do this in excel. I tried the option OFFSET but I wasn't able to do this.
You did not mention what did you try. There are many ways:
| | A | B | | Copy | | 4.4937 | 5.1257 | 5.2018 | 5.3755 | 5.741 | 5.9086 | 6.1399 | 6.2518 |
|----|:-:|:------:|:-:|:------:|:------:|--------|-----------|--------|--------|--------|--------|--------|--------|
| 1 | 1 | 4.4937 | = | ===== | ==| | 3.0424 | 3.2744 | 3.883 | 3.9595 | 3.9892 | 4.1603 | 4.2943 | 4.5118 |
| 2 | 1 | 5.1257 | | | | | A | Transpose | | | | | | |
| 3 | 1 | 5.2018 | | | | | | | | | | | | | |
| 4 | 1 | 5.3755 | | | | | | | | | | | | | |
| 5 | 1 | 5.741 | | | | | | | | | | | | | |
| 6 | 1 | 5.9086 | | | | | | | | | | | | | |
| 7 | 1 | 6.1399 | | | | | | | | | | | | | |
| 8 | 1 | 6.2518 | | | V | | | | | | | | | |
| 9 | 2 | 3.0424 | > | 3.0424 | 4.4937 | ==| | | | | | | | |
| 10 | 2 | 3.2744 | > | 3.2744 | 5.1257 | | | | | | | | |
| 11 | 2 | 3.883 | > | 3.883 | 5.2018 | | | | | | | | |
| 12 | 2 | 3.9595 | > | 3.9595 | 5.3755 | | | | | | | | |
| 13 | 2 | 3.9892 | > | 3.9892 | 5.741 | | | | | | | | |
| 14 | 2 | 4.1603 | > | 4.1603 | 5.9086 | | | | | | | | |
| 15 | 2 | 4.2943 | > | 4.2943 | 6.1399 | | | | | | | | |
| 16 | 2 | 4.5118 | > | 4.5118 | 6.2518 | | | | | | | | |
Just copy the first section (1) at the right side of the second section (2). Copy the complete selection and paste transposed.
If you want to just make though a formula on the same sheet:
| | A | B | C | D | E | F | G | H | I | J | K | L | M |
|----|:--:|:------:|:-:|:-:|:---------------------------:|-----------------------------|-----------------------------|-----|---|---|---|---|---|
| 1 | Et | SF | | | | | | | | | | | |
| 2 | 1 | 4.4937 | | 1 | =INDIRECT("B" & COLUMN()-3) | =INDIRECT("B" & COLUMN()-3) | =INDIRECT("B" & COLUMN()-3) | ... | | | | | |
| 3 | 1 | 5.1257 | | 2 | =INDIRECT("B" & COLUMN()+5) | =INDIRECT("B" & COLUMN()+5) | =INDIRECT("B" & COLUMN()+5) | ... | | | | | |
| 4 | 1 | 5.2018 | | | | | | | | | | | |
| 5 | 1 | 5.3755 | | | | | | | | | | | |
| 6 | 1 | 5.741 | | | | | | | | | | | |
| 7 | 1 | 5.9086 | | | | | | | | | | | |
| 8 | 1 | 6.1399 | | | | | | | | | | | |
| 9 | 1 | 6.2518 | | | | | | | | | | | |
| 10 | 2 | 3.0424 | | | | | | | | | | | |
| 11 | 2 | 3.2744 | | | | | | | | | | | |
| 12 | 2 | 3.883 | | | | | | | | | | | |
| 13 | 2 | 3.9595 | | | | | | | | | | | |
| 14 | 2 | 3.9892 | | | | | | | | | | | |
| 15 | 2 | 4.1603 | | | | | | | | | | | |
| 16 | 2 | 4.2943 | | | | | | | | | | | |
| 17 | 2 | 4.5118 | | | | | | | | | | | |
Hope it helps!
Oil Blending
An oil company produces three brands of oil: Regular, Multigrade, and
Supreme. Each brand of oil is composed of one or more of four crude stocks, each having a different lubrication index. The relevant data concerning the crude stocks are as follows.
+-------------+-------------------+------------------+--------------------------+
| Crude Stock | Lubrication Index | Cost (€/barrell) | Supply per day (barrels) |
+-------------+-------------------+------------------+--------------------------+
| 1 | 20 | 7,10 | 1000 |
+-------------+-------------------+------------------+--------------------------+
| 2 | 40 | 8,50 | 1100 |
+-------------+-------------------+------------------+--------------------------+
| 3 | 30 | 7,70 | 1200 |
+-------------+-------------------+------------------+--------------------------+
| 4 | 55 | 9,00 | 1100 |
+-------------+-------------------+------------------+--------------------------+
Each brand of oil must meet a minimum standard for a lubrication index, and each brand
thus sells at a different price. The relevant data concerning the three brands of oil are as
follows.
+------------+---------------------------+---------------+--------------+
| Brand | Minimum Lubrication index | Selling price | Daily demand |
+------------+---------------------------+---------------+--------------+
| Regular | 25 | 8,50 | 2000 |
+------------+---------------------------+---------------+--------------+
| Multigrade | 35 | 9,00 | 1500 |
+------------+---------------------------+---------------+--------------+
| Supreme | 50 | 10,00 | 750 |
+------------+---------------------------+---------------+--------------+
Determine an optimal output plan for a single day, assuming that production can be either
sold or else stored at negligible cost.
The daily demand figures are subject to alternative interpretations. Investigate the
following:
(a) The daily demands represent potential sales. In other words, the model should contain demand ceilings (upper limits). What is the optimal profit?
(b) The daily demands are strict obligations. In other words, the model should contain demand constraints that are met precisely. What is the optimal profit?
(c) The daily demands represent minimum sales commitments, but all output can be sold. In other words, the model should permit production to exceed the daily commitments. What is the optimal profit?
QUESTION
I've been able to construct the following model in Excel and solve it via OpenSolver, but I'm only able to integrate the mix for the Regular Oil.
I'm trying to work my way through the book Optimization Modeling with Spreadsheets by Kenneth R. Baker but I'm stuck with this exercise. While I could transfer the logic from another blending problem I'm not sure how to construct the model for multiple blendings at once.
I modeled the problem as a minimization problem on the cost of the different crude stocks. Using the Lubrication Index data I built the constraint for the R-Lub Index as a linear constraint. So far the answer seems to be right for the Regular Oil. However using this approach I've no idea how to include even the second Multigrade Oil.
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Decision Variables | | | | | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| | C1 | C2 | C3 | C4 | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Inputs | 1000 | 0 | 1000 | 0 | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| | | | | | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Objective Function | | | | | | Total | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Cost | 7,10 € | 8,50 € | 7,70 € | 9,00 € | | 14.800,00 € | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| | | | | | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Constraints | | | | | | LHS | | RHS |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| C1 supply | 1 | | | | | 1000 | <= | 1000 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| C2 supply | | 1 | | | | 0 | <= | 1100 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| C3 supply | | | 1 | | | 1000 | <= | 1200 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| C4 supply | | | | 1 | | 0 | <= | 1100 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| R- Lub Index | -5 | 15 | 5 | 30 | | 0 | >= | 0 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| R- Output | 1 | 1 | 1 | 1 | | 2000 | = | 2000 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| | | | | | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| Blending Data | | | | | | | | |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
| R- Lub | 20 | 40 | 30 | 55 | | 25 | >= | 25 |
+--------------------+--------+--------+--------+--------+--+-------------+----+------+
Here is the model with Excel formulars:
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Decision Variables | | | | | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| | C1 | C2 | C3 | C4 | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Inputs | 1000 | 0 | 1000 | 0 | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| | | | | | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Objective Function | | | | | | Total | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Cost | 7,1 | 8,5 | 7,7 | 9 | | =SUMMENPRODUKT(B5:E5;B8:E8) | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| | | | | | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Constraints | | | | | | LHS | | RHS |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| C1 supply | 1 | | | | | =SUMMENPRODUKT($B$5:$E$5;B11:E11) | <= | 1000 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| C2 supply | | 1 | | | | =SUMMENPRODUKT($B$5:$E$5;B12:E12) | <= | 1100 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| C3 supply | | | 1 | | | =SUMMENPRODUKT($B$5:$E$5;B13:E13) | <= | 1200 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| C4 supply | | | | 1 | | =SUMMENPRODUKT($B$5:$E$5;B14:E14) | <= | 1100 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| R- Lub Index | -5 | 15 | 5 | 30 | | =SUMMENPRODUKT($B$5:$E$5;B15:E15) | >= | 0 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| R- Output | 1 | 1 | 1 | 1 | | =SUMMENPRODUKT($B$5:$E$5;B16:E16) | = | 2000 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| | | | | | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| Blending Data | | | | | | | | |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
| R- Lub | 20 | 40 | 30 | 55 | | =SUMMENPRODUKT($B$5:$E$5;B19:E19)/SUMME($B$5:$E$5) | >= | 25 |
+--------------------+------+-----+------+----+--+----------------------------------------------------+----+------+
A nudge in the right direction would be a tremendous help.
I think you want your objective to be Profit, which I would define as the sum of sales value - sum of cost.
To include all blends, develop calculations for Volume produced, Lube Index, Cost, and Value for each blend. Apply constraints for volume of stock used, volume produced, and lube index, and optimize for Profit.
I put together the model as follows ...
Columns A through D is the information you provided.
The 10's in G2:J5 are seed values for the stock volumes used in each blend. Solver will manipulate these.
Column K contains the total product volume produced. These will be constrained in different ways, as per your investigation (a), (b), and (c). It is =SUM(G3:J3) filled down.
Column L is the Lube Index for the product. As you noted, it is a linear blend - this is typically not true for blending problems. These values will be constrained in Solver. It is {=SUMPRODUCT(G3:J3,TRANSPOSE($B$2:$B$5))/$K3} filled down. Note that it is a Control-Shift-Enter (CSE) formula, required because of the TRANSPOSE.
Column M is the cost of the stock used to create the product. This is used in the Profit calculation. It is {=SUMPRODUCT(G3:J3,TRANSPOSE($C$2:$C$5))}, filled down. This is also a CSE formula.
Column N is the value of the product produced. This is used in the Profit calculation. It is =K3*C8 filled down.
Row 7 is the total stock volume used to generate all blends. These values will be constrained in Solver. It is =SUM(G3:G5), filled to the right.
The profit calculation is =SUM(N3:N5)-SUM(M3:M5).
Below is a snap of the Solver dialog box ...
It does the following ...
The objective is to maximize profit.
It will do this by manipulating the amount of stock that goes into each blend.
The first four constraints ($G$7 through $J$7) ensure the amount of stock available is not violated.
The next three constraints ($K$3 through $K$5) are for case (a) - make no more than product than there is demand.
The last three constraints ($L$3 through $L$5) make sure the lube index meets the minimum specification.
Not shown - I selected options for GRG Nonlinear and selected "Use Multistart" and deselected "Require Bounds on Variables".
Below is the result for case (a) ...
For case (b), change the constraints on Column K to be "=" instead of "<=". Below is the result ...
For case (c), change the constraints on Column K to be ">=". Below is the result ...
I think I came up with a solution, but I'm unsure if this is correct.
| Decision Variables | | | | | | | | | | | | | | | | |
|--------------------|---------|--------|--------|--------|-------------|--------|--------|--------|--------|--------|--------|--------|---|--------------------------------|----|------|
| | C1R | C1M | C1S | C2R | C2M | C2S | C3R | C3M | C3S | C4R | C4M | C4S | | | | |
| Inputs | 1000 | 0 | 0 | 800 | 0 | 300 | 0 | 1200 | 0 | 200 | 300 | 600 | | | | |
| | | | | | | | | | | | | | | | | |
| Objective Function | | | | | | | | | | | | | | Total Profit (Selling - Cost) | | |
| Cost | 7,10 € | 7,10 € | 7,10 € | 8,50 € | 8,50 € | 8,50 € | 7,70 € | 7,70 € | 7,70 € | 9,00 € | 9,00 € | 9,00 € | | 3.910,00 € | | |
| | | | | | | | | | | | | | | | | |
| Constraints | | | | | | | | | | | | | | LHS | | RHS |
| Regular | -5 | | | 15 | | | 5 | | | 30 | | | | 13000 | >= | 0 |
| Multi | | -15 | | | 5 | | | -5 | | | 20 | | | 0 | >= | 0 |
| Supreme | | | -30 | | | -10 | | | -20 | | | 5 | | 0 | >= | 0 |
| C1 Supply | 1 | 1 | 1 | | | | | | | | | | | 1000 | <= | 1000 |
| C2 Supply | | | | 1 | 1 | 1 | | | | | | | | 1100 | <= | 1100 |
| C3 Supply | | | | | | | 1 | 1 | 1 | | | | | 1200 | <= | 1200 |
| C4 Supply | | | | | | | | | | 1 | 1 | 1 | | 1100 | <= | 1100 |
| Regular Demand | 1 | | | 1 | | | 1 | | | 1 | | | | 2000 | >= | 2000 |
| Multi Demand | | 1 | | | 1 | | | 1 | | | 1 | | | 1500 | >= | 1500 |
| Supreme Demand | | | 1 | | | 1 | | | 1 | | | 1 | | 900 | >= | 750 |
| | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | |
| Selling | | | | | | | | | | | | | | | | |
| Regular | 8,50 € | x | 2000 | = | 17.000,00 € | | | | | | | | | | | |
| Multi | 9,00 € | x | 1500 | = | 13.500,00 € | | | | | | | | | | | |
| Supreme | 10,00 € | x | 900 | = | 9.000,00 € | | | | | | | | | | | |
| | | | | | 39.500,00 € | | | | | | | | | | | |
I successfully installed armbian, WiringOP, I can access gpio.
How can I access gpio from nodejs on orange pi zero?
Here is the gpio output:
hygy#orangepizero:~/WiringOP/gpio$ sudo ./gpio readall
[sudo] password for hygy:
+-----+-----+----------+------+---+-Orange Pi+---+---+------+---------+-----+--+
| BCM | wPi | Name | Mode | V | Physical | V | Mode | Name | wPi | BCM |
+-----+-----+----------+------+---+----++----+---+------+----------+-----+-----+
| | | 3.3v | | | 1 || 2 | | | 5v | | |
| 12 | 8 | SDA.0 | ALT5 | 0 | 3 || 4 | | | 5V | | |
| 11 | 9 | SCL.0 | ALT5 | 0 | 5 || 6 | | | 0v | | |
| 6 | 7 | GPIO.7 | ALT3 | 0 | 7 || 8 | 0 | ALT3 | TxD3 | 15 | 13 |
| | | 0v | | | 9 || 10 | 0 | ALT3 | RxD3 | 16 | 14 |
| 1 | 0 | RxD2 | ALT5 | 0 | 11 || 12 | 0 | ALT3 | GPIO.1 | 1 | 110 |
| 0 | 2 | TxD2 | ALT5 | 0 | 13 || 14 | | | 0v | | |
| 3 | 3 | CTS2 | ALT3 | 0 | 15 || 16 | 0 | ALT3 | GPIO.4 | 4 | 68 |
| | | 3.3v | | | 17 || 18 | 0 | ALT3 | GPIO.5 | 5 | 71 |
| 64 | 12 | MOSI | ALT4 | 0 | 19 || 20 | | | 0v | | |
| 65 | 13 | MISO | ALT4 | 0 | 21 || 22 | 0 | ALT3 | RTS2 | 6 | 2 |
| 66 | 14 | SCLK | ALT4 | 0 | 23 || 24 | 0 | ALT4 | CE0 | 10 | 67 |
| | | 0v | | | 25 || 26 | 0 | ALT3 | GPIO.11 | 11 | 21 |
| 19 | 30 | SDA.1 | ALT4 | 0 | 27 || 28 | 0 | ALT4 | SCL.1 | 31 | 18 |
| 7 | 21 | GPIO.21 | ALT3 | 0 | 29 || 30 | | | 0v | | |
| 8 | 22 | GPIO.22 | ALT3 | 0 | 31 || 32 | 0 | ALT3 | RTS1 | 26 | 200 |
| 9 | 23 | GPIO.23 | ALT3 | 0 | 33 || 34 | | | 0v | | |
| 10 | 24 | GPIO.24 | OUT | 1 | 35 || 36 | 0 | ALT3 | CTS1 | 27 | 201 |
| 20 | 25 | GPIO.25 | OUT | 1 | 37 || 38 | 0 | ALT5 | TxD1 | 28 | 198 |
| | | 0v | | | 39 || 40 | 0 | ALT5 | RxD1 | 29 | 199 |
+-----+-----+----------+------+---+----++----+---+------+----------+-----+-----+
| BCM | wPi | Name | Mode | V | Physical | V | Mode | Name | wPi | BCM |
+-----+-----+----------+------+---+-Orange Pi+---+------+----------+-----+-----+
You can use the standard streams.
If, for example, you are accessing the GPIO with Python, you can redirect the standard output of that Python process to your Node.js app.
I found this nice tutorial that explains how to do it: http://www.sohamkamani.com/blog/2015/08/21/python-nodejs-comm/
We use MySQL 5.0.77 on CentOS 5.5 on VMWare:
Linux dev.ic.soschildrensvillages.org.uk 2.6.18-194.11.4.el5PAE #1 SMP Tue Sep 21 05:48:23 EDT 2010 i686 i686 i386 GNU/Linux
We have recently upgraded from 4GB RAM to 8GB. When we did this the time of our mysqldump overnight backup jumped from under 10 minutes to over 2 hours. It also caused unresponsiveness on our plone based web site due to database load. The dump is using the optimized mysqldump format and is spooled directly through a socket to another server.
Any ideas on what we could do to fix gratefully appreciated. Would a MySQL upgrade help? Anything we can do to MySQL config? Anything we can do to Linux config? Or do we have to add another server or go to 64-bit?
We ran a previous (non-virtual) server on 6GB PAE and didn't notice a similar issue. This was on same MySQL version, but Centos 4.4.
Server config file:
[mysqld]
port=3307
socket=/tmp/mysql_live.sock
wait_timeout=31536000
interactive_timeout=31536000
datadir=/var/mysql/live/data
user=mysql
max_connections = 200
max_allowed_packet = 64M
table_cache = 2048
binlog_cache_size = 128K
max_heap_table_size = 32M
sort_buffer_size = 2M
join_buffer_size = 2M
lower_case_table_names = 1
innodb_data_file_path = ibdata1:10M:autoextend
innodb_buffer_pool_size=1G
innodb_log_file_size=300M
innodb_log_buffer_size=8M
innodb_flush_log_at_trx_commit=1
innodb_file_per_table
[mysqldump]
# Do not buffer the whole result set in memory before writing it to
# file. Required for dumping very large tables
quick
max_allowed_packet = 64M
[mysqld_safe]
# Increase the amount of open files allowed per process. Warning: Make
# sure you have set the global system limit high enough! The high value
# is required for a large number of opened tables
open-files-limit = 8192
Server variables:
mysql> show variables;
+---------------------------------+------------------------------------------------------------------+
| Variable_name | Value |
+---------------------------------+------------------------------------------------------------------+
| auto_increment_increment | 1 |
| auto_increment_offset | 1 |
| automatic_sp_privileges | ON |
| back_log | 50 |
| basedir | /usr/local/mysql-5.0.77-linux-i686-glibc23/ |
| binlog_cache_size | 131072 |
| bulk_insert_buffer_size | 8388608 |
| character_set_client | latin1 |
| character_set_connection | latin1 |
| character_set_database | latin1 |
| character_set_filesystem | binary |
| character_set_results | latin1 |
| character_set_server | latin1 |
| character_set_system | utf8 |
| character_sets_dir | /usr/local/mysql-5.0.77-linux-i686-glibc23/share/mysql/charsets/ |
| collation_connection | latin1_swedish_ci |
| collation_database | latin1_swedish_ci |
| collation_server | latin1_swedish_ci |
| completion_type | 0 |
| concurrent_insert | 1 |
| connect_timeout | 10 |
| datadir | /var/mysql/live/data/ |
| date_format | %Y-%m-%d |
| datetime_format | %Y-%m-%d %H:%i:%s |
| default_week_format | 0 |
| delay_key_write | ON |
| delayed_insert_limit | 100 |
| delayed_insert_timeout | 300 |
| delayed_queue_size | 1000 |
| div_precision_increment | 4 |
| keep_files_on_create | OFF |
| engine_condition_pushdown | OFF |
| expire_logs_days | 0 |
| flush | OFF |
| flush_time | 0 |
| ft_boolean_syntax | + -><()~*:""&| |
| ft_max_word_len | 84 |
| ft_min_word_len | 4 |
| ft_query_expansion_limit | 20 |
| ft_stopword_file | (built-in) |
| group_concat_max_len | 1024 |
| have_archive | YES |
| have_bdb | NO |
| have_blackhole_engine | YES |
| have_compress | YES |
| have_crypt | YES |
| have_csv | YES |
| have_dynamic_loading | YES |
| have_example_engine | NO |
| have_federated_engine | YES |
| have_geometry | YES |
| have_innodb | YES |
| have_isam | NO |
| have_merge_engine | YES |
| have_ndbcluster | DISABLED |
| have_openssl | DISABLED |
| have_ssl | DISABLED |
| have_query_cache | YES |
| have_raid | NO |
| have_rtree_keys | YES |
| have_symlink | YES |
| hostname | app.ic.soschildrensvillages.org.uk |
| init_connect | |
| init_file | |
| init_slave | |
| innodb_additional_mem_pool_size | 1048576 |
| innodb_autoextend_increment | 8 |
| innodb_buffer_pool_awe_mem_mb | 0 |
| innodb_buffer_pool_size | 1073741824 |
| innodb_checksums | ON |
| innodb_commit_concurrency | 0 |
| innodb_concurrency_tickets | 500 |
| innodb_data_file_path | ibdata1:10M:autoextend |
| innodb_data_home_dir | |
| innodb_adaptive_hash_index | ON |
| innodb_doublewrite | ON |
| innodb_fast_shutdown | 1 |
| innodb_file_io_threads | 4 |
| innodb_file_per_table | ON |
| innodb_flush_log_at_trx_commit | 1 |
| innodb_flush_method | |
| innodb_force_recovery | 0 |
| innodb_lock_wait_timeout | 50 |
| innodb_locks_unsafe_for_binlog | OFF |
| innodb_log_arch_dir | |
| innodb_log_archive | OFF |
| innodb_log_buffer_size | 8388608 |
| innodb_log_file_size | 314572800 |
| innodb_log_files_in_group | 2 |
| innodb_log_group_home_dir | ./ |
| innodb_max_dirty_pages_pct | 90 |
| innodb_max_purge_lag | 0 |
| innodb_mirrored_log_groups | 1 |
| innodb_open_files | 300 |
| innodb_rollback_on_timeout | OFF |
| innodb_support_xa | ON |
| innodb_sync_spin_loops | 20 |
| innodb_table_locks | ON |
| innodb_thread_concurrency | 8 |
| innodb_thread_sleep_delay | 10000 |
| interactive_timeout | 31536000 |
| join_buffer_size | 2097152 |
| key_buffer_size | 8384512 |
| key_cache_age_threshold | 300 |
| key_cache_block_size | 1024 |
| key_cache_division_limit | 100 |
| language | /usr/local/mysql-5.0.77-linux-i686-glibc23/share/mysql/english/ |
| large_files_support | ON |
| large_page_size | 0 |
| large_pages | OFF |
| lc_time_names | en_US |
| license | GPL |
| local_infile | ON |
| locked_in_memory | OFF |
| log | OFF |
| log_bin | OFF |
| log_bin_trust_function_creators | OFF |
| log_error | |
| log_queries_not_using_indexes | OFF |
| log_slave_updates | OFF |
| log_slow_queries | OFF |
| log_warnings | 1 |
| long_query_time | 10 |
| low_priority_updates | OFF |
| lower_case_file_system | OFF |
| lower_case_table_names | 1 |
| max_allowed_packet | 67108864 |
| max_binlog_cache_size | 4294963200 |
| max_binlog_size | 1073741824 |
| max_connect_errors | 10 |
| max_connections | 200 |
| max_delayed_threads | 20 |
| max_error_count | 64 |
| max_heap_table_size | 33554432 |
| max_insert_delayed_threads | 20 |
| max_join_size | 18446744073709551615 |
| max_length_for_sort_data | 1024 |
| max_prepared_stmt_count | 16382 |
| max_relay_log_size | 0 |
| max_seeks_for_key | 4294967295 |
| max_sort_length | 1024 |
| max_sp_recursion_depth | 0 |
| max_tmp_tables | 32 |
| max_user_connections | 0 |
| max_write_lock_count | 4294967295 |
| multi_range_count | 256 |
| myisam_data_pointer_size | 6 |
| myisam_max_sort_file_size | 2146435072 |
| myisam_recover_options | OFF |
| myisam_repair_threads | 1 |
| myisam_sort_buffer_size | 8388608 |
| myisam_stats_method | nulls_unequal |
| ndb_autoincrement_prefetch_sz | 1 |
| ndb_force_send | ON |
| ndb_use_exact_count | ON |
| ndb_use_transactions | ON |
| ndb_cache_check_time | 0 |
| ndb_connectstring | |
| net_buffer_length | 16384 |
| net_read_timeout | 30 |
| net_retry_count | 10 |
| net_write_timeout | 60 |
| new | OFF |
| old_passwords | OFF |
| open_files_limit | 8192 |
| optimizer_prune_level | 1 |
| optimizer_search_depth | 62 |
| pid_file | /var/mysql/live/mysqld.pid |
| plugin_dir | |
| port | 3307 |
| preload_buffer_size | 32768 |
| profiling | OFF |
| profiling_history_size | 15 |
| protocol_version | 10 |
| query_alloc_block_size | 8192 |
| query_cache_limit | 1048576 |
| query_cache_min_res_unit | 4096 |
| query_cache_size | 0 |
| query_cache_type | ON |
| query_cache_wlock_invalidate | OFF |
| query_prealloc_size | 8192 |
| range_alloc_block_size | 4096 |
| read_buffer_size | 131072 |
| read_only | OFF |
| read_rnd_buffer_size | 262144 |
| relay_log | |
| relay_log_index | |
| relay_log_info_file | relay-log.info |
| relay_log_purge | ON |
| relay_log_space_limit | 0 |
| rpl_recovery_rank | 0 |
| secure_auth | OFF |
| secure_file_priv | |
| server_id | 0 |
| skip_external_locking | ON |
| skip_networking | OFF |
| skip_show_database | OFF |
| slave_compressed_protocol | OFF |
| slave_load_tmpdir | /tmp/ |
| slave_net_timeout | 3600 |
| slave_skip_errors | OFF |
| slave_transaction_retries | 10 |
| slow_launch_time | 2 |
| socket | /tmp/mysql_live.sock |
| sort_buffer_size | 2097152 |
| sql_big_selects | ON |
| sql_mode | |
| sql_notes | ON |
| sql_warnings | OFF |
| ssl_ca | |
| ssl_capath | |
| ssl_cert | |
| ssl_cipher | |
| ssl_key | |
| storage_engine | MyISAM |
| sync_binlog | 0 |
| sync_frm | ON |
| system_time_zone | GMT |
| table_cache | 2048 |
| table_lock_wait_timeout | 50 |
| table_type | MyISAM |
| thread_cache_size | 0 |
| thread_stack | 196608 |
| time_format | %H:%i:%s |
| time_zone | SYSTEM |
| timed_mutexes | OFF |
| tmp_table_size | 33554432 |
| tmpdir | /tmp/ |
| transaction_alloc_block_size | 8192 |
| transaction_prealloc_size | 4096 |
| tx_isolation | REPEATABLE-READ |
| updatable_views_with_limit | YES |
| version | 5.0.77 |
| version_comment | MySQL Community Server (GPL) |
| version_compile_machine | i686 |
| version_compile_os | pc-linux-gnu |
| wait_timeout | 31536000 |
+---------------------------------+------------------------------------------------------------------+
237 rows in set (0.00 sec)
If you're sending data over sockets, you might as well use MySQL Replication with the binlog. Use binlog_format=ROWS so that your slave(s) doesn't waste time with triggers and so on.
Failing that, you could try a "hotcopy" script such as http://dev.mysql.com/doc/refman/5.0/en/mysqlhotcopy.html
Above all, I think you are running outdated software. Upgrade to CentOS 5.5 64bit, and Percona Server (100% MySQL-compatible database on steroids) http://www.percona.com/software/percona-server/