In my iOS application, I want to store some messages that I obtain from my remote server. However, instead of storing these messages forever, I want to purge, once I have a N number of messages; i.e., if my N is configured to be 10, I want to store 10 messages and on the arrival of the 11th message, I want to delete the 1st message.
Is there a standard way to do this in iOS ? I am yet to write the code to saving the messages, so choosing any method of saving is fine for me.
Store your messages in a file. After you get the message read your file's messages to an NSMutableArray, replace the most old message with new one and overwrite your file with new array data.
I dont think there is a straight fwd way.
The way I would do is have a table using SQLLite. Have 2 columns id(int, autoincrement), value(String). When inserting, if max(id) >=10 delete row with min(id) and insert the new value.
Ofcourse, this woud fail after it reached MAX_INT_VALUE. So if you thing you would never get to this value you are good.
Related
i need to refresh data in a TFDQuery which is in cached updates.
to simplify my problem, let's suppose my MsACCESS database is composed of 2 tables that i have to join.
LABTEST(id_test, dat_test, id_client, sample_typ)
SAMPLEType(id, SampleName)
in the Delphi application, i am using TFDConnection and 1 TFDQuery (in cached updates) in which i join the 2 tables which script is:
"SELECT T.id_test, T.dat_test, T.id_client, T.sample_typ, S.SampleName
FROM LABTEST T
left JOIN SAMPLEType S ON T.sample_typ = S.id"
in my application, i also use a DBGrid to show the result of the query.
and a button to edit the field "sample_typ", like this:
qr.Edit;
qr.FieldByName('sample_typ').AsString:=ce2.text;
qr.Post;
the edition of the 'sample_typ' field works fine but the corresponding 'sampleName' field is not changing (in the grid) after an update.
in fact it is not refreshed !
the problem is here: if i do refresh of the query, an exception is raised: "cannot refresh dataset. cached updates must be commited or canceled
and batch mode terminated before refreshing"
if i commit the updates, data will be sent to database and i don't want that, i need to keep the data in cache till the end of the operation.
also if i get out of the cache, data will be refreshed in the grid but will be sent to the database after qr.post and i don't want that.
i need to refresh data in the cache. what is the solution ?
Thanks in advance.
The issue comes down to the fact that you haven't told your UI that there is any dependency on the two fields - it clearly can't know how to do the join itself without resubmitting it so if you don't want to send the updates and reload you will have a problem.
It's not clear exactly what you are trying to do, but these two ideas may help you.
If you are not going to edit the fields in the SAMPLEType tables (S) then load the values from that table into a lookup table. You can load this into a TFDMemTable. You can use an adapter which loads from a query. Your UI controls can then show the value based on the valus looked up in your local TFDMemTable. Dependiong on the UI control this might be a 'LookupField' or some such.
You may also be able to store your main data in a TFDMemTable with an Adapter - you can specify diferent TFDCommands to read the whole recordset, refresh a record, update, insert and delete a record. The TFDCommands can act on multiple tables for joined recordsets like this. That would automatically refresh the individual record for you when you post it.
Suppose I have a collection called 'books' and a page called "all books" in my app. Now let's say I want a little message to pop up in the top right that says "This list is outdated" every time there is an addition, deletion, or change in my 'books' collection. Is there any way to achieve this without having the listener send back all the documents in the 'books' collection each time there is a change? I only want to be notified when the data is outdated and nothing else.
If you know how to achieve this please let me know. I'm good with any language but a solution written in Swift will be preferred.
Thanks in advance!
Just add a field updatedon to your books document and set it to the current time when doing any write (on delete also then, you will have to find a way to hide deleted books).
And set a listener like this:
colref.where("updatedon", ">", new Date())
.orderBy("updatedon","desc")
.limit(1)
This way you are only billed 1 read every time.
It's not possible. A listener on a document or collection always receives the entire document that changed.
If you want a "lite" notification, you could try to use FCM to send a message to the client when a document of interest has changed, but then you'll have to keep a record on the backend of every interesting document for every user, check that list with every change using a Cloud Functions trigger, then notify each client of each interesting change. This is not at all the same as a listener, and would be a lot of work.
I'm creating an app that uses core data to store information from a web server. When there's an internet connection, the app will check if there are any changes in the entries and update them. Now, I'm wondering which is the best way to go about it. Each entry in my database has a last updated timestamp. Which of these 2 will be more efficient:
Go through all entries and check the timestamp to see which entry needs to be updated.
Delete the whole entity and re-download everything again.
Sorry if this seems like an obvious question and thanks!
I'd say option 1 would be most efficient, as there is rarely a case where downloading everything (especially in a large database with large amounts of data) is more efficient than only downloading the parts that you need.
I recently did something similiar.
I solve the problem, by assigning an unique ID and a global 'updated timestamp' and thinking about 'delta' change.
I explain better, I have a global 'latest update' variable stored in user preferences, with a default value of 01/01/2010.
This is roughly my JSON service:
response: {
metadata: {latestUpdate: 2013...ecc}
entities: {....}
}
Then, this is what's going on:
pass the 'latest update' to the web service and retrieve a list of entities
update the core data store
if everything went fine with core data, the 'latestUpdate' from the service metadata became my new 'latest update variable' stored in user preferences
That's it. I am only retrieving the needed change, and of course the web service is structured to deliver a proper list. Which is: a web service backed by a database, can deal with this matter quite well, and leave the iphone to be a 'simple client' only.
But I have to say that for small amount of data, it is still quite performant (and more bug free) to download the whole list at each request.
As per our discussion in the comments above, you can model your core data object entries with version control like this
CoreDataEntityPerson:
name : String
name_version : int
image : BinaryData
image_version : int
You can now model the server xml in the following way:
<person>
<name>michael</name>
<name_version>1</name_version>
<image>string_converted_imageData</image>
<image_version>1</image_version>
</person>
Now, you can follow the following steps :
When the response arrives and you parse it, you initially create a new object from entity and fill the data directly.
Next time, when you perform an update on the server, you increase the version count of an entry by 1 and store it.
E.g. lets say the name michael is now changed to abraham, then version count of name_version on server will be 2
This updated version count will come in the response data.
Now, while storing the data in the same object, if you find the version count to be same, then the data update of that entry can be skipped, but if you find the version count to be changed, then the update of that entry needs to be done.
This way you can efficiently perform check on each entry and perform updates only on the changed entries.
Advice:
The above approach works best when you're dealing with large amount of data updation.
In case of simple text entries for an object, simple overwrite of data on all entries is efficient enough. And this also keeps the data reponse model simple.
I'm having a problem is sending(creating) an HL7 message using mirth.
I want to read data from my patient table in SQLSERVER 2008 and, using that data,
I want to send a message to my destination connector, a file writer. I want my messages to get saved in the file writer's output directory.
So far I'm able to generate the message, but the size of the output file in my destination directory is increasing as the channel's polling time goes on.
Have I done something wrong in the transformer mapping?
UPDATE:
The size of the output file in my destination directory IS increasing. (My .txt file starts from 1 kb and goes to 900kb and so on). This is happening becasue same data is getting generated again and again and multiple times too. for eg. my generated message has one(MSH,PID,PV1,ORM) for one row of data in my Database. The same MSH,PID, PV1 and ORM are getting generated multiple times.
If you are seeing the same data generated in your output directory multiple time, the most likely cause is that you are not doing anything to indicate to your database that a given record has been processed.
For example, if you have 1 record in your database: ["John", "Smith", "12134" ...] on the first poll, you will generate 1 message. If on the second poll you also have a second record ["Fred", "Jones", "98371" ...], you will generate TWO messages - one for John Smith and one for Fred Jones. And so on.
The key is to use the "Run On-Update Statement" of your Database Reader (Source) connector to update the database table you are polling with an indication that a given record has been processed. This ensures that the same record is not processed multiple times.
This requires that your source table have some kind of column to indicate the record has been processed. Mirth will not keep track of this for you - you must do it manually.
You can't have a file reader as a destination, so I assume you mean file writer. You say that "the size of my file in my destination is increasing." Is that a typo? Do you mean NOT increasing?
If it is increasing, then your messages are getting generated and you can view them to start your next round of troubleshooting...
If not, the you should look at the message log in the dashboard to see what is happening on a message-by-message basis - that would be the next place to troubleshoot.
You have to have a way of distinguishing what records to pull from the database by filtering on some sort of status flag or possible a time-stamp. Then, you have to use some sort of On-Update statement to mark these same records as processed.
i.e.
Select id, patient, result from results where status_flag='N'
or
Select * from results where status_flag = 'N' and created_date >= '9/25/2012'
Then, in either a transformer step or the On-Update section of your Source, you would do something like:
Update results
set status_flag = 'Y' where id=$(id)
If you do not do something like this and you have Mirth polling at a certain interval, it will just keep pulling the same records over and over.
You have to change your connector type as Database reader in source.
You have to change your connector type as file writer in the destination.
And you can write your data in the file, For which you have access to write.
while creating HL7 template you have to use the following code in outbound message template
MSH|^~\&|||
Thanks
Krishna
I recently wrote a mailing platform for one of our employees to use. The system runs great, scales great, and is fun to use. However, it is currently inoperable due to a bug that I can't figure out how to fix (fairly inexperienced developer).
The process goes something like this...
Upload a CSV file to a specific FTP directory.
Go to the import_mailing_list page.
Choose a CSV file within the FTP directory.
Name and describe what the list contains.
Associate file headings with database columns.
Then, the back-end loops over each line of the file, associating the values with a heading, and importing these values into a database.
This all works wonderfully, except in a specific case, when a raw CSV is not correctly formatted. For example...
fname, lname, email
Bob, Schlumberger, bob#bob.com
Bobbette, Schlumberger
Another, Record, goeshere#email.com
As you can see, there is a missing comma on line two. This would cause an error when attempting to pull "valArray[3]" (or valArray[2], in the case of every language but mine).
I am looking for the most efficient solution to keep this error from happening. Perhaps I should check the array length, and compare it to the index we're going to attempt to pull, before pulling it. But to do this for each and every value seems inefficient. Anybody have another idea?
Our stack is ColdFusion 8/9 and MySQL 5.1. This is why I refer to the array index as [3].
There's ArrayIsDefined(array, elementIndex), or ArrayLen(array)
seems inefficient?
You gotta code what you need to code, forget about inefficiency. Get it right before you get it fast (when needed).
I suppose if you are looking for another way of doing this (instead of checking the array length each time, although that really doesn't sound that bad to me), you could wrap each line insert attempt in a try/catch block. If it fails, then stuff the failed row in a buffer (including the line number and error message) that you could then display to the user after the batch has completed, so they could see each of the failed lines and why they failed. This has the advantages of 1) not having to explicitly check the array length each time and 2) catching other errors that you might not have anticipated beforehand (maybe a value is too long for your field, for example).