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Java: CSV files read/write
samifaidi Offline
Ewon Distributor
#1
Hi,
I am developing a Java application, I need to read csv files and write on specific lines and specific columns. What is the best library (Easy and friendly) I can use?
I found this one: https://www.csvreader.com/java_csv.php
What do you think abot it?
Reply

simon Offline
eWON Support
#2
Looks good.

Where the Java app must run ?? On the PC or on the Ewon ?

Simon
Reply

samifaidi Offline
Ewon Distributor
#3
Java app must run on the Ewon.

Can I run my app on PC (to debug it) without connecting Flexy to my PC? 
Reply

samifaidi Offline
Ewon Distributor
#4
Simon,

I build my project and I modified the jvmrun file and reboot the Flexy, I have this problem: 

[img]data:image/png;base64,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[/img]
To solve this problem, I have to make 'Update Tag' for all tags:

[img]data:image/png;base64,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[/img]
do you have any idea?
Reply

samifaidi Offline
Ewon Distributor
#5
I have others questions,
My Java app have to:

 Step1- Read informations from a csv file 
 Step2- Construct objects
 Step3- Put all objects in an ArrayList

1-Can I use Arraylist (of objects)? or have I use Vector()?
2- If Vector(), can I put objects in vector()?
Reply

simon Offline
eWON Support
#6
Hi Sami,

1. " Can I run my app on PC (to debug it) without connecting Flexy to my PC?"1. No, you need an Ewon
2. I think you can use both ArrayList or Vector but I have never tried ArrayList and I usually use Vector() and yes, you can put any kind of objects in it.
3. I do not see the images of your problem. Please attach them to the post instead of pasting them to the message body.

Simon
Reply

samifaidi Offline
Ewon Distributor
#7
see picture, Capture1,

to solve it, I have to 'Update Tag' (capture2) for all tags (tag per tag). 

it seems like tags lost link with server!!
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simon Offline
eWON Support
#8
Sorry, I still do not understand the problem. I do not see the relation between the Java app and the Tags ?
Did you start developing an IOserver in JAVA.- ?
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samifaidi Offline
Ewon Distributor
#9
(24-04-2020, 10:01 PM)simon Wrote: Sorry, I still do not understand the problem. I do not see the relation between the Java app and the Tags ?
Did you start developing an IOserver in JAVA.- ?

Sometimes for some unknown reason, the 'Status / Quality' of all the tags turns red like in my screenshot 'Capture1'.

It is the first Flexy that makes me this problem! the only different thing i do with this Flexy is the Java App. for that I thought that this problem may be related to Java!

Java App job's, is to get values of only 3 tags, and read/write in csv files.

Events file is attached. the probem is appeared about 14h00. in events I see that the Flexy reboote at this time 'Capture3'!


Attached Files
.txt   events.txt (Size: 144,72 KB / Downloads: 5)
.png   Capture1.PNG (Size: 156,48 KB / Downloads: 8)
.png   Capture3.PNG (Size: 37,57 KB / Downloads: 8)
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simon Offline
eWON Support
#10
Hi Sami,

This shows that the Flexy has rebooted for an unknown reason. It could be a power loss or a perhaps a bug.
I think it is not related to the java app. I see the java app is only running 10 sec...
The best I think is to report this problem to your local support contact or through the HMS support portal https://mysupport.hms.se

Simon
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samifaidi Offline
Ewon Distributor
#11
(28-04-2020, 12:07 PM)simon Wrote: Hi Sami,

This shows that the Flexy has rebooted for an unknown reason.  It could be a power loss or a perhaps a bug.
I think it is not related to the java app.  I see the java app is only running 10 sec...
The best I think is to report this problem to your local support contact or through the HMS support portal https://mysupport.hms.se

Simon
Hi Simon,

I Update the Firmware 14.1.s.1 it seems OK now! finger crossed!

thank you.
Reply

simon Offline
eWON Support
#12
Good to know :-) Thx for the feedback.
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