Odd discovery regarding throughput to/thru TC

Here is a puzzle I wonder if anyone can figure out and also check to see if the behavior can be replicated.
In a previous post I complained about the 300KB/s throughput I was getting when copying files to my TC (using disk sharing) or through TC between two computers. I got this poor performance even with N-only or with ethernet connections and without encryptions.
So I went to the store and exchanged my TC for a new one, after replicating my tests to one of the geniuses. The new TC seemed to perform better in another test (more on this below), so I left the store happy. (btw, I love the Apple customer service!)
I now figured out that the new TC is just like the previous one! I now know what is happening, but it is a curious thing. I wonder if anyone here can figure it out exactly. Here is the deal:
Basically, the "file" I was using originally with the old TC for my tests was the DVD player from the application folder. I chose this just based on its intermediate size of around 50MB. (yes, I know an app file may be actually a bundle of more than one file, but that may or may not be the issue)
However, when they gave me the new TC at the store we ran a different test, using CandyBar download (which is also an app and a bundle, by the way). It is around 35MB. Transfer speeds were much better with that (around 1.5MB/s).
Back home I checked transferring by copying the same "DVD player" app on to the new TC... surprise, surprise, I got the same terrible ~300KB/s transfer rate I originally was getting. I quickly checked copying over to TC (using N only on 5Ghz) a large folder with 300MB and about 1000 files. It transfered at rates fluctuating mostly in the range 1-3MB. Much better again. So this confirmed that my new TC transfers the DVD player very slowly but other apps and other large folders at better speeds. I suspect the old one would have had the same behavior (but I only ever tested it by copying the DVD player app)
I find this bizarre.
Does anyone have a theory of what is going on here? Why are some files transferring so much slower than others?
Also, can anyone confirm by replicating this behavior that the file transfer varies by orders of magnitude in this way?

hi
use the program RSBDCLOG if your in 4.6c..
Cheers,
Abdul hakim

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Robert

The latter, as "getM_strObjectId " is an ugly name... don't
tell me that causes issue...ok kidding, I got you. The
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Thanks a lot.
Robert

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Daniel,
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Disturbing Discovery regarding MPEG-LA

If there is a forum page for this subject please let me know.
If you are not aware of the copyright agreement for using any MPEG-2 and/or H.264 codex please read the article on this link.
http://www.osnews.com/story/23236/Why_Our_Civilization_s_Video_Art_and_Culture_is_Threaten ed_by_the_MPEG-LA
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Is this article correct and accurate?
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I tend to take articles, such as this, with a grain of salt, but do try to pay attention to them. Just because I have never heard this in no way insures that the comments are anything but valid. Of course, I am a "conspiracy theorist," so am not above imagining how this could be totally legit. I still recall when Compuserve was planning on going after everyone, who was using GIF. Other similar attempts have been made over the decades.
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PS - A Google search for "MPEG-LA" has plenty of hits, regarding licensing.
Message was edited by: Bill Hunt - Added PS

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Welcome to Apple Discussions, ifoundloveatcommutel
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Doubt regarding SQL execution

Hi Friends,
Am using Oracle 10g DB - 10.2.0.3.0
I have some basic doubts regarding sql query execution by Oracle.
Say, Am executing a query from a toad/sqlplus session for the first time, it takes 10 secs then 1 sec and so on.
Same thing happens for every 15 minutes.(Any specific reason for this ??).
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Regards,
Marlon

Say, Am executing a query from a toad/sqlplus session for the first time, it takes 10 secs then 1 sec and so on.
Same thing happens for every 15 minutes.(Any specific reason for this ??).
It takes more time when it executes first because of parsing and all those stuff but from then on it picks from the
shared pool right??.. How long will it be there in Shared Pool does Oracle maintain any specific time period to clear that query from shared pool memory. How does Oracle handle this. Share Pool caches the SQL statement. So when you execute the same SQL for the second time it goes for a soft parse. But this is not the only reason for the query to execute faster the second time. The time difference between a soft parse and hard parse is very minimal. So it really does not matter unless you are executing the same query several number of times.
The thing that really matters is the Data Buffer Cache. That is the rows that are selected by your query are cached into the Data buffer that is available in the SGA. So for the next time when you run the same query the IO is reduced as the data is available in the memory and you don't have to go to your disk to get the data.
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hii
i dont think there is any FM for this
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w_rem type p decimals 2,
w_val type i.
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twinkal

Question regarding DocumentDB RU consumption when inserting documents & write performance

Hi guys,
I do have some questions regarding the DocumentDB Public Preview capacity and performance quotas:
My use case is the following:
I need to store about 200.000.000 documents per day with a maximum of about 5000 inserts per second. Each document has a size of about 200 Byte.
According to to the documentation (http://azure.microsoft.com/en-us/documentation/articles/documentdb-manage/) i understand that i should be able to store about 500 documents per second with single inserts and about 1000 per second with a batch insert using
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Since one CU consists of 2000 RUs i would expect the RU usage to be about 4 RUs per single document insert or 100 RUs for a single SP execution with 50 documents.
When i look at the actual RU consumption i get values i don’t really understand:
Batch insert of 50 documents: about 770 RUs
Single insert: about 17 RUs
Example document:
{"id":"5ac00fa102634297ac7ae897207980ce","Type":0,"h":"13F40E809EF7E64A8B7A164E67657C1940464723","aid":4655,"pid":203506,"sf":202641580,"sfx":5662192,"t":"2014-10-22T02:10:34+02:00","qg":3}
The consistency level is set to “Session”.
I am using the SP from the example c# project for batch inserts and the following code snippet for single inserts:
await client.CreateDocumentAsync(documentCollection.DocumentsLink, record);
Is there any flaw in my assumption (ok…obviously) regarding the throughput calculation or could you give me some advice how to achieve the throughput stated in the documentation?
With the current performance i would need to buy at least 40 CUs which wouldn’t be an option at all.
I have another question regarding document retention:
Since i would need to store a lot of data per day i also would need to delete as much data per day as i insert:
The data is valid for at least 7 days (it actually should be 30 days, depending on my options with documentdb).
I guess there is nothing like a retention policy for documents (this document is valid for X day and will automatically be deleted after that period)?
Since i guess deleting data on a single document basis is no option at all i would like to create a document collection per day and delete the collection after a specified retention period.
Those historic collections would never change but would only receive queries. The only problem i see with creating collections per day is the missing throughput:
As i understand the throughput is split equally according to the number of available collections which would result in “missing” throughput on the actual hot collection (hot meaning, the only collection i would actually insert documents).
Is there any (better) way to handle this use case than buy enough CUs so that the actual hot collection would get the needed throughput?
Example:
1 CU -> 2000 RUs
7 collections -> 2000 / 7 = 286 RUs per collection (per CU)
Needed throughput for hot collection (values from documentation): 20.000
=> 70 CUs (20.000 / 286)
vs. 10 CUs when using one collection and batch inserts or 20 CUs when using one collection and single inserts.
I know that DocumentDB is currently in preview and that it is not possible to handle this use case as is because of the limit of 10 GB per collection at the moment. I am just trying to do a POC to switch to DocumentDB when it is publicly available.
Could you give me any advice if this kind of use case can be handled or should be handled with documentdb? I currently use Table Storage for this case (currently with a maximum of about 2500 inserts per second) but would like to switch to documentdb since i
had to optimize for writes per second with table storage and do have horrible query execution times with table storage because of full table scans.
Once again my desired setup:
200.000.000 inserts per day / Maximum of 5000 writes per second
Collection 1.2 -> Hot Collection: All writes (max 5000 p/s) will go to this collection. Will also be queried.
Collection 2.2 -> Historic data, will only be queried; no inserts
Collection 3.2 -> Historic data, will only be queried; no inserts
Collection 4.2 -> Historic data, will only be queried; no inserts
Collection 5.2 -> Historic data, will only be queried; no inserts
Collection 6.2 -> Historic data, will only be queried; no inserts
Collection 7.2 -> Historic data, will only be queried; no inserts
Collection 1.1 -> Old, so delete whole collection
As a matter of fact the perfect setup would be to have only one (huge) collection with an automatic document retention…but i guess this won’t be an option at all?
I hope you understand my problem and give me some advice if this is at all possible or will be possible in the future with documentdb.
Best regards and thanks for your help

Hi Aravind,
first of all thanks for your reply regarding my questions.
I sent you a mail a few days ago but since i did not receive a response i am not sure it got through.
My main question regarding the actual usage of RUs when inserting documents is still my main concern since i can not insert nearly
as many documents as expected per second and CU.
According to to the documentation (http://azure.microsoft.com/en-us/documentation/articles/documentdb-manage/)
i understand that i should be able to store about 500 documents per second with single inserts and about 1000 per second with a batch insert using a stored procedure (20 batches per second containing 50 documents each).
As described in my post the actual usage is multiple (actually 6-7) times higher than expected…even when running the C# examples
provided at:
https://code.msdn.microsoft.com/windowsazure/Azure-DocumentDB-NET-Code-6b3da8af/view/SourceCode
I tried all ideas Steve posted (manual indexing & lazy indexing mode) but was not able to enhance RU consumption to a point
that 500 inserts per second where nearly possible.
Here again my findings regarding RU consumption for batch inserts:
Automatic indexing on: 777
RUs for 50 documents
Automatic indexing off &
mandatory path only: 655
RUs for 50 documents
Automatic indexing off & IndexingMode Lazy & mandatory path only: 645 RUs for
50 documents
Expected result: approximately 100
RUs (2000 RUs => 20x Batch insert of 50 => 100 RUs per batch)
Since DocumentDB is still Preview i understand that it is not yet capable to handle my use case regarding throughput, collection
size, amount of collections and possible CUs and i am fine with that.
If i am able to (at least nearly) reach the stated performance of 500 inserts per second per CU i am totally fine for now. If not
i have to move on and look for other options…which would also be “fine”. ;-)
Is there actually any working example code that actually manages to do 500 single inserts per second with one CUs 2000 RUs or is
this a totally theoretical value? Or is it just because of being Preview and the stated values are planned to work.
Regarding your feedback:
...another thing to consider
is if you can amortize the request rate over the average of 200 M requests/day = 2000 requests/second, then you'll need to provision 16 capacity units instead of 40 capacity units. You can do this by catching "RequestRateTooLargeExceptions" and retrying
after the server specified retry interval…
Sadly this is not possible for me because i have to query the data in near real time for my use case…so queuing is not
an option.
We don't support a way to distribute throughput differently across hot and cold
collections. We are evaluating a few solutions to enable this scenario, so please do propose as a feature at http://feedback.azure.com/forums/263030-documentdb as this helps us prioritize
feature work. Currently, the best way to achieve this is to create multiple collections for hot data, and shard across them, so that you get more proportionate throughput allocated to it.
I guess i could circumvent this by not clustering in “hot" and “cold" collections but “hot" and “cold"
databases with one or multiple collections (if 10GB will remain the limit per collection) each if there was a way to (automatically?) scale the CUs via an API. Otherwise i would have to manually scale down the DBs holding historic data. I
also added a feature requests as proposed by you.
Sorry for the long post but i am planning the future architecture for one of our core systems and want to be sure if i am on
the right track.
So if you would be able to answer just one question this would be:
How to achieve the stated throughput of 500 single inserts per second with one CUs 2000 RUs in reality? ;-)
Best regards and thanks again

Loading data thru SQL

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Thanks !
Chuck

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I have a file to RFC scenario. the input is a XML file. I have setup the flag in sender file adapter channel for archiving the input files with errors. But it is not working.
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and go thru this links
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http://help.sap.com/saphelp_nw04/helpdata/en/79/1e7aecc315004fb4966d1548447675/frameset.htm
http://help.sap.com/saphelp_nw04/helpdata/en/31/8aed3ea86d3d67e10000000a114084/frameset.htm
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I need to display column headers dynamically in alv grid Display with its corresponding value.
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