Fixed
Status Update
No update yet.
Comments
da...@google.com
what is in update.zip ? can you share that file to triage this issue
ap...@google.com
MHC19Q for Nexus 5X (bullhead) - https://dl.google.com/dl/android/aosp//bullhead-ota-mhc19q-8fe67a2b.zip
N4F26T for Nexus 5X (bullhead) -https://dl.google.com/dl/android/aosp/bullhead-ota-n4f26t-648ce802.zip
WW-12.2.5.23 for Asus ZenFone Go (ASUS_X014D) -http://dlcdnet.asus.com/pub/ASUS/ZenFone/ZB452KG/UL-ASUS_X014D-WW-12.2.5.23-user.zip
Look like, this happens only with a big images.
N4F26T for Nexus 5X (bullhead) -
WW-12.2.5.23 for Asus ZenFone Go (ASUS_X014D) -
Look like, this happens only with a big images.
an...@google.com
related to (and probably worked around for now by) internal bug http://b/36046324
i do think we should also start shipping a 64-bit Windows platform tools package.
we should also consider changing android::base::ReadFdToString to call fstat and pre-size the vector. not worthwhile for reading things like /proc/uptime, but the default expansion behavior for a huge file like a full OTA update is going to result in substantial overhead. (which will explain the regression between .3 and .4, since the former will have allocated exactly the necessary number of bytes.)
lastly (and maybe not worth doing at all, depending on how soon we can get folks to use a 64-bit platform tools on Windows, since all the other platforms are already 64-bit-only), we could consider rewriting the adb sideload code to (a) mmap/munmap rather than actually read in to physical memory or (b) pread. i'm not sure what the performance impact of pread would be (especially on Windows where there is no pread equivalent).
i do think we should also start shipping a 64-bit Windows platform tools package.
we should also consider changing android::base::ReadFdToString to call fstat and pre-size the vector. not worthwhile for reading things like /proc/uptime, but the default expansion behavior for a huge file like a full OTA update is going to result in substantial overhead. (which will explain the regression between .3 and .4, since the former will have allocated exactly the necessary number of bytes.)
lastly (and maybe not worth doing at all, depending on how soon we can get folks to use a 64-bit platform tools on Windows, since all the other platforms are already 64-bit-only), we could consider rewriting the adb sideload code to (a) mmap/munmap rather than actually read in to physical memory or (b) pread. i'm not sure what the performance impact of pread would be (especially on Windows where there is no pread equivalent).
Description
Version used: 2.2.0
Devices/Android versions reproduced on:
- device usb:336662528X product:xcover4ltexx model:SM_G390F device:xcover4lte transport_id:5
- device product:sdk_gphone_x86 model:Android_SDK_built_for_x86 device:generic_x86 transport_id:4
- device usb:336662528X product:zerofltexx model:SM_G920F device:zeroflte transport_id:15
In Version 2.1.0 annotation @Relation was only allowed for list types, if you used it on a non-list type the following runtime error occured:
error: Fields annotated with @Relation must be a List or Set.
Since Version 2.2.0 @Relation can be used on non-list types, in order to model relations with a single object reference.
This is handy if you have 1-to-1 relations and you don't have to explicitly get the first item from the result list, instead you get the object directly.
release notes:
One-to-One Relations: The restriction in POJO fields annotated with @Relation to be of type List or Set has been lifted, effectively allowing single-value relations to be represented.
It seems that this new feature is only supported up to a certain amount of table rows. In more details it means that if you run a query on tables with 100 rows, the returned POJOs have all valid non-null references to the object specified by the @Relation annotation. If you run the same query on tables with more than 999 rows (999 still works, 1000 will fail) the result will be that all returned POJOs have NULL as referenced object (see my example project).
If you use the list type with @Relation annotation you don't have this limitation.
Please refer to the attached example project unit test.
In the example project the same entities are used but with two different POJO types. One is using a List<> type annotated with @Relation, and the other is using the newly supported object type.
Android unit test show that the list type always works but the object type works up to 999 rows, after that it starts to fail.