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  • GQL: I'm storing JSON in the DataStore. All json is getting converted to html entities, how to avoid

    - by fmsf
    The tittle says most: I'm storing JSON in the DataStore. All json is getting converted to html entities, how can I avoid this? Original I had myJson = db.StringProperty() it complained the json i had was to long and StringProperty had a limit of around 500 chars. Sugesting to use TextProperty instead. It inserted without problems but now myJson looks like this when i fetch it from the database: { &quot;timeUnit&quot;: &quot;14&quot;, &quot;taskCounter&quot;: &quot;0&quot;, &quot;dependencyCounter&quot;: &quot;0&quot;, &quot;tasks&quot;: [], &quot;dependencies&quot;: []} Any sugestions?

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  • [app-engine-java-groovy] One-to-Many relationship. Select objects from datastore.

    - by Olexandr
    Hi. I've omitted some code(package declarations, imports, other fields) for shortness. I have here simple One-to-Many relation. It worked fine till this moment. @PersistenceCapable(identityType = IdentityType.APPLICATION, detachable="true") class Restaurant implements Serializable { @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) Key id @Persistent(mappedBy = "restaurant") List<RestaurantAddress> addresses = new ArrayList<RestaurantAddress>() } //-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= @PersistenceCapable(identityType = IdentityType.APPLICATION, detachable="true") class RestaurantAddress implements Serializable { @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) Key id @Persistent Restaurant restaurant } Now i need to get(select) all the Restaurants from DB: def getRestaurantsToExport(final String dst, final int count) { String field = restaurantExportFields[dst] return transactionExecute() { PersistenceManager pm -> Query q = pm.newQuery(Restaurant.class) q.filter = "$field == null" q.setRange(0, count) return q.execute() } } But there are on problem - query gives me 12 restaurants(as in DB) but every Restaurant has 0 Address but in Datastore every Restaurant has minimum 2 addresses. Have anyone the same problem or knows the solution ?

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  • Software design of a browser-based strategic MMO game

    - by Mehran
    I wonder if there are any known tested software designs for Travian-like browser-based strategic MMO games? I mean how would they implement the server of such games or what is stored in database and what is stored in RAM? Is the state of the world stored in one piece or is it distributed among a number of storage? Does anyone know a resource to study the problems and solutions of creating such games? [UPDATE] Suggested in comments, I'm going to give an example how would I design such a project. Even though I'm not sure if I'm proposing the right one. Having stored the world state in a MongoDB, I would implement an event collection in which all the changes to the world will register. Changes that are meant to happen in the future will come with an action date set to the future and those that are to be carried out immediately will be set to now. Having this datastore as the central point of the system, players will issue their actions as events inserted in datastore. At the other end of the system, I'll have a constant-running software taking out events out of the datastore which are due to be carried out and not done yet. Executing an event means apply some update on the world's state and thus the datastore. As scalable as this design sounds, I'm not sure if it will be worth implementing. For one, it is pointless to cache the datastore as most of updates happen once without any follow ups. For instance if you have the growth of resources in your game, you'll be updating the whole world state periodically in which case, having incorporated a cache, you are keeping the whole world in RAM (which most likely is impossible). So can someone come up with a better design?

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  • appstats broken filename in callstack

    - by Ray Yun
    When I visit appstats page and expand callstack, the file path has <path[N]> prefix. So click the file link then emit no such file or directory error. Stack: /google/appengine/datastore/datastore_rpc.py:951 make_rpc_call() /google/appengine/datastore/datastore_query.py:993 _make_query_result_rpc_call() /google/appengine/datastore/datastore_query.py:714 run_async() /google/appengine/datastore/datastore_query.py:685 run() /google/appengine/api/datastore.py:1281 GetBatcher() /google/appengine/api/datastore.py:1351 Get() /google/appengine/ext/db/init.py:1831 fetch() /google/appengine/ext/db/init.py:1778 get() /apps/fbapp/fbutil.py:232 oauth_load_fb_user() /apps/fbapp/fbutil.py:84 require_account() the error message for appengine source: [Errno 2] No such file or directory: u'/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/ipaddr/google/appengine/datastore/datastore_rpc.py' the error message for my source: IOError [Errno 2] No such file or directory: u'/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/lib/antlr3/apps/fbapp/fbutil.py' I guess this was path problem and found some official comment from google. If your request handlers modify sys.path, you must make the same modifications to sys.path in appengine_config.py so the Appstats web interface can see all files. Actually I'm using appengine_django and two path was inserted to sys.path. I did it same again at appengine_django.py but also failed. Maybe some custom setting with appengine_config.py can solve this problem but doesn't figure out how to fix it. What can I do?

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  • High-concurrency counters without sharding

    - by dound
    This question concerns two implementations of counters which are intended to scale without sharding (with a tradeoff that they might under-count in some situations): http://appengine-cookbook.appspot.com/recipe/high-concurrency-counters-without-sharding/ (the code in the comments) http://blog.notdot.net/2010/04/High-concurrency-counters-without-sharding My questions: With respect to #1: Running memcache.decr() in a deferred, transactional task seems like overkill. If memcache.decr() is done outside the transaction, I think the worst-case is the transaction fails and we miss counting whatever we decremented. Am I overlooking some other problem that could occur by doing this? What are the significiant tradeoffs between the two implementations? Here are the tradeoffs I see: #2 does not require datastore transactions. To get the counter's value, #2 requires a datastore fetch while with #1 typically only needs to do a memcache.get() and memcache.add(). When incrementing a counter, both call memcache.incr(). Periodically, #2 adds a task to the task queue while #1 transactionally performs a datastore get and put. #1 also always performs memcache.add() (to test whether it is time to persist the counter to the datastore). Conclusions (without actually running any performance tests): #1 should typically be faster at retrieving a counter (#1 memcache vs #2 datastore). Though #1 has to perform an extra memcache.add() too. However, #2 should be faster when updating counters (#1 datastore get+put vs #2 enqueue a task). On the other hand, with #1 you have to be a bit more careful with the update interval since the task queue quota is almost 100x smaller than either the datastore or memcahce APIs.

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  • How to create a datastore.Text object out of an array of dynamically created Strings?

    - by Adrogans
    I am creating a Google App Engine server for a project where I receive a large quantity of data via an HTTP POST request. The data is separated into lines, with 200 characters per line. The number of lines can go into the hundreds, so 10's of thousands of characters total. What I want to do is concatenate all of those lines into a single Text object, since Strings have a maximum length of 500 characters but the Text object can be as large as 1MB. Here is what I thought of so far: public void doPost(HttpServletRequest req, HttpServletResponse resp) { ... String[] audioSampleData = new String[numberOfLines]; for (int i = 0; i < numberOfLines; i++) { audioSampleData[i] = req.getReader().readLine(); } com.google.appengine.api.datastore.Text textAudioSampleData = new Text(audioSampleData[0] + audioSampleData[1] + ...); ... } But as you can see, I don't know how to do this without knowing the number of lines before-hand. Is there a way for me to iterate through the String indexes within the Text constructor? I can't seem to find anything on that. Of note is that the Text object can't be modified after being created, and it must have a String as parameter for the constructor. (Documentation here) Is there any way to this? I need all of the data in the String array in one Text object. Many Thanks!

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  • Are there any good utilities out there to create datastore / LUN diagrams for VMware ESX 3.5?

    - by rhart
    We are working to get a large (inherited) VMware ESX 3.5 environment with multiple SANs under control. We first need to create a diagram / Excel spreadsheet / whatever that explains what VM is stored where. This is a rather time-consuming task to complete by just using the VI client to copy down everything. Is there a good script or tool out there that can do this for us? I would like to see: VM Name, LUN, Actual file-name/location of VMDK/VMX, Power State, Host Any ideas?

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  • How to Assign datastorage Limit to the datastore from LM?

    - by esxvmuser
    Guys, We have a Data Storeage XYZ with 1TB HDD and 32 GB ram. - We want to assign this to 2 different groups 500GB HDD, 16GB RAM to Group - A and 500GB HDD and 16GB RAM to another group. We want to set this limit from LM, can you please comments if this is possible? and if yes could you please point us where can we do this in LM?

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  • Create new vms with a template with a csv. Possible?

    - by EdConde
    I am new to Powershell and Powercli... but i manager few ESX environments and really would like to do as much as possible via powershell. I am trying to do as much as i can via Powershell. On with the help I need: I used this one liner to create VMs from templates. But the problem is there has to be some user input after each new VM is created. New-VM name -Template template -VMHost VMHost -Datastore Datastore What i would like to do is be able to import via CSV the name of the new vm, the template to use, the host to put the new vm and the datastore all from a CSV. I don't know if it is as easy as below, but i kept getting errors. Import-Csv "C:\powershell\Data\VM2Create.csv" | Foreach-object{ New-VM $.name -Template $.template -VMHost $.VMHost -Datastore $.Datastore} I know there some () or {} or possibly | that need... just don't know where to put them... The csv i think would look like this: name, template, vmhost, datastore Any help or thoughts would be much appreciated...

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  • What is the best practice for adding persistence to an MVC model?

    - by etheros
    I'm in the process of implementing an ultra-light MVC framework in PHP. It seems to be a common opinion that the loading of data from a database, file etc. should be independent of the Model, and I agree. What I'm unsure of is the best way to link this "data layer" into MVC. Datastore interacts with Model //controller public function update() { $model = $this->loadModel('foo'); $data = $this->loadDataStore('foo', $model); $data->loadBar(9); //loads data and populates Model $model->setBar('bar'); $data->save(); //reads data from Model and saves } Controller mediates between Model and Datastore Seems a bit verbose and requires the model to know that a datastore exists. //controller public function update() { $model = $this->loadModel('foo'); $data = $this->loadDataStore('foo'); $model->setDataStore($data); $model->getDataStore->loadBar(9); //loads data and populates Model $model->setBar('bar'); $model->getDataStore->save(); //reads data from Model and saves } Datastore extends Model What happens if we want to save a Model extending a database datastore to a flatfile datastore? //controller public function update() { $model = $this->loadHybrid('foo'); //get_class == Datastore_Database $model->loadBar(9); //loads data and populates $model->setBar('bar'); $model->save(); //saves } Model extends datastore This allows for Model portability, but it seems wrong to extend like this. Further, the datastore cannot make use of any of the Model's methods. //controller extends model public function update() { $model = $this->loadHybrid('foo'); //get_class == Model $model->loadBar(9); //loads data and populates $model->setBar('bar'); $model->save(); //saves } EDIT: Model communicates with DAO //model public function __construct($dao) { $this->dao = $dao; } //model public function setBar($bar) { //a bunch of business logic goes here $this->dao->setBar($bar); } //controller public function update() { $model = $this->loadModel('foo'); $model->setBar('baz'); $model->save(); } Any input on the "best" option - or alternative - is most appreciated.

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  • Google App Engine Application Error 5

    - by Sam
    I frequently get this Application error. What does this mean ? File "/base/data/home/apps/0xxopdp/10.347467753731922836/matrices.py", line 215, in insert_into_db obj.put() File "/base/python_runtime/python_lib/versions/1/google/appengine/ext/db/__init__.py", line 895, in put return datastore.Put(self._entity, config=config) File "/base/python_runtime/python_lib/versions/1/google/appengine/api/datastore.py", line 404, in Put return _GetConnection().async_put(config, entities, extra_hook).get_result() File "/base/python_runtime/python_lib/versions/1/google/appengine/datastore/datastore_rpc.py", line 601, in get_result self.check_success() File "/base/python_runtime/python_lib/versions/1/google/appengine/datastore/datastore_rpc.py", line 572, in check_success rpc.check_success() File "/base/python_runtime/python_lib/versions/1/google/appengine/api/apiproxy_stub_map.py", line 502, in check_success self.__rpc.CheckSuccess() File "/base/python_runtime/python_lib/versions/1/google/appengine/api/apiproxy_rpc.py", line 126, in CheckSuccess raise self.exception ApplicationError: ApplicationError: 5 I do make many calls to the datastore. What caused this problem ?

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  • Java EE suitablity for a social network using Cassandra datastore ??

    - by Marcos
    We are in the process of making some important technology decisions for a social networking application. We're planning to have Cassandra(a NoSQL database to support efficient data storage). We would be using Hector(a Java client) to interact with Cassandra. 1.) Would Java EE be a good choice over PHP for a social networking application in terms of performance, scalabilty & complexities? 2.) Another possible implementation strategy, Is it suitable to have backend alone in Java and rest in PHP? 3.) What differences(as compared to PHP) it makes in terms of costs at various stages of application development, deployment and maintenance ? 4.) What are the things to keep in mind as we move along with Java development& deployment(as we are relatively new to the Java background) ? 5.) If you could list some major production deployments of similar type(social network) applications in Java. Thank you!

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  • What is the proper way to access datastore in custom Model Binders?

    - by mare
    How should I properly implement data access in my custom model binders? Like in controllers I use IContentRepository and then have it create an instance of its implementing class in constructor. So I have everything ready for incorporating IoC (DI) at a later stage. Now I need something similar in model binder. I need to make some DB lookups in the binder. I'm thinking of doing it the same way I do it in controllers but I am open to suggestion. This is a snippet from one of my controllers so you can imagine how I'm doing it in them: public class WidgetZoneController : BaseController { // BaseController has IContentRepository ContentRepository field public WidgetZoneController() : this(new XmlWidgetZoneRepository()) { } public WidgetZoneController(IContentRepository repository) { ContentRepository = repository; } ...

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  • Loading datasets from datastore and merge into single dictionary. Resource problem.

    - by fredrik
    Hi, I have a productdatabase that contains products, parts and labels for each part based on langcodes. The problem I'm having and haven't got around is a huge amount of resource used to get the different datasets and merging them into a dict to suit my needs. The products in the database are based on a number of parts that is of a certain type (ie. color, size). And each part has a label for each language. I created 4 different models for this. Products, ProductParts, ProductPartTypes and ProductPartLabels. I've narrowed it down to about 10 lines of code that seams to generate the problem. As of currently I have 3 Products, 3 Types, 3 parts for each type, and 2 languages. And the request takes a wooping 5500ms to generate. for product in productData: productDict = {} typeDict = {} productDict['productName'] = product.name cache_key = 'productparts_%s' % (slugify(product.key())) partData = memcache.get(cache_key) if not partData: for type in typeData: typeDict[type.typeId] = { 'default' : '', 'optional' : [] } ## Start of problem lines ## for defaultPart in product.defaultPartsData: for label in labelsForLangCode: if label.key() in defaultPart.partLabelList: typeDict[defaultPart.type.typeId]['default'] = label.partLangLabel for optionalPart in product.optionalPartsData: for label in labelsForLangCode: if label.key() in optionalPart.partLabelList: typeDict[optionalPart.type.typeId]['optional'].append(label.partLangLabel) ## end problem lines ## memcache.add(cache_key, typeDict, 500) partData = memcache.get(cache_key) productDict['parts'] = partData productList.append(productDict) I guess the problem lies in the number of for loops is too many and have to iterate over the same data over and over again. labelForLangCode get all labels from ProductPartLabels that match the current langCode. All parts for a product is stored in a db.ListProperty(db.key). The same goes for all labels for a part. The reason I need the some what complex dict is that I want to display all data for a product with it's default parts and show a selector for the optional one. The defaultPartsData and optionaPartsData are properties in the Product Model that looks like this: @property def defaultPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.defaultParts) @property def optionalPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.optionalParts) When the completed dict is in the memcache it works smoothly, but isn't the memcache reset if the application goes in to hibernation? Also I would like to show the page for first time user(memcache empty) with out the enormous delay. Also as I said above, this is only a small amount of parts/product. What will the result be when it's 30 products with 100 parts. Is one solution to create a scheduled task to cache it in the memcache every hour? It this efficient? I know this is alot to take in, but I'm stuck. I've been at this for about 12 hours straight. And can't figure out a solution. ..fredrik

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  • How to get to the key name of a referenced entity property from an entity instance without a datastore read in google app engine?

    - by Sumeet Pareek
    Consider I have the following models - class Team(db.Model): # say I have just 5 teams name = db.StringProperty() class Player(db.Model): # say I have thousands of players name = db.StringProperty() team = db.ReferenceProperty(Team, collection_name="player_set") Key name for each Team entity = 'team_' , and for each Player entity = 'player_' By some prior arrangement I have a Team entity's (key_name, name) mapping available to me. For example (team_01, United States Of America), (team_02, Russia) etc I have to show all the players and their teams on a page. One way of doing this would be - players = Player.all().fetch(1000) # This is 1 DB read for player in players: # This will iterate 1000 times self.response.out.write(player.name) # This is obviously not a DB read self.response.out.write(player.team.name) #This is a total of 1x1000 = 1000 DB reads That is a 1001 DB reads for a silly thing. The interesting part is that when I do a db.to_dict() on players, it shows that for every player in that list there is 'name' of the player and there is the 'key_name' of the team available too. So how can I do the below ?? players = Player.all().fetch(1000) # This is 1 DB read for player in players: # This will iterate 1000 times self.response.out.write(player.name) # This is obviously not a DB read self.response.out.write(team_list[player.<SOME WAY OF GETTING TEAM KEY NAME>]) # Here 'team_list' already has (key_name, name) for all 5 teams I have been struggling with this for a long time. Have read every available documentation. I could just hug the person that can help me here :-) Disclaimer: The above problem description is not a real scenario. It is a simplified arrangement that represents my problem exactly. I have run into it in a rater complex and big GAE appication.

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  • VMWare ESX, storage over 2TB

    - by Phliplip
    Hi, First of, i'm a webdeveloper and my server experience lies in setting up FreeBSD servers for webserver. I'm working on a project for at photographer, and i'm hired to develop a new online photo ordering system - where user of course can view their photos :) They have a massive need of storage, thus we have bought a HP G6 and 8x1TB SATA HDD. Our plan is to install VMWare ESX 4.0, running multiple virtual machines; FreeBSD 8 for webserver and some windows servers. Allready done that. Then mount one big storage to the BSD, and share it through Samba to the WinServers. The raid is set up with an array of 2x 1TB to handle the VMs. And the rest is setup as 3 2x1TB to handle the photo-data. Thus 2.73TB for photo-data (the raids are 1+0). Now if we add a datastore in the ESX and add the 3 LUNs we can get a datastore of 2.74TB. But i don't se how i can add this datastore direct to the VM. Only the BSD VM needs access to this. Only way is to create a VirtualDisk, with a max of 2TB (8MB blocksize). This is because the datastore where we save the virtualdisk has a maximum filesize of 2TB. Then add it as a harddisk to the BSD VM. In the 'Add Harddisk' pane for the VM, i see an option for Raw Disk Management. I think this is to access the datastore or the raid directly. Only problem is that its greyed out! Can i access the datastorage directly from the BSD? Without creating and adding virtualdisk.

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  • Using JUnit with App Engine and Eclipse

    - by Mark M
    I am having trouble setting up JUnit with App Engine in Eclipse. I have JUnit set up correctly, that is, I can run tests that don't involve the datastore or other services. However, when I try to use the datastore in my tests they fail. The code I am trying right now is from the App Engine site (see below): http://code.google.com/appengine/docs/java/tools/localunittesting.html#Running_Tests So far I have added the external JAR (using Eclipse) appengine-testing.jar. But when I run the tests I get the exception below. So, I am clearly not understanding the instructions to enable the services from the web page mentioned above. Can someone clear up the steps needed to make the App Engine services available in Eclipse? java.lang.NoClassDefFoundError: com/google/appengine/api/datastore/dev/LocalDatastoreService at com.google.appengine.tools.development.testing.LocalDatastoreServiceTestConfig.tearDown(LocalDatastoreServiceTestConfig.java:138) at com.google.appengine.tools.development.testing.LocalServiceTestHelper.tearDown(LocalServiceTestHelper.java:254) at com.cooperconrad.server.MemberTest.tearDown(MemberTest.java:28) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:37) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:73) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:46) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:180) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:41) at org.junit.runners.ParentRunner$1.evaluate(ParentRunner.java:173) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:28) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31) at org.junit.runners.ParentRunner.run(ParentRunner.java:220) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:46) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) Caused by: java.lang.ClassNotFoundException: com.google.appengine.api.datastore.dev.LocalDatastoreService at java.net.URLClassLoader$1.run(URLClassLoader.java:202) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:190) at java.lang.ClassLoader.loadClass(ClassLoader.java:307) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301) at java.lang.ClassLoader.loadClass(ClassLoader.java:248) ... 25 more Here is the actual code (pretty much copied from the site): package com.example; import static org.junit.Assert.*; import org.junit.After; import org.junit.Before; import org.junit.Test; import com.google.appengine.api.datastore.DatastoreService; import com.google.appengine.api.datastore.DatastoreServiceFactory; import com.google.appengine.api.datastore.Entity; import com.google.appengine.api.datastore.Query; import com.google.appengine.tools.development.testing.LocalDatastoreServiceTestConfig; import com.google.appengine.tools.development.testing.LocalServiceTestHelper; public class MemberTest { private final LocalServiceTestHelper helper = new LocalServiceTestHelper(new LocalDatastoreServiceTestConfig()); @Before public void setUp() { helper.setUp(); } @After public void tearDown() { helper.tearDown(); } // run this test twice to prove we're not leaking any state across tests private void doTest() { DatastoreService ds = DatastoreServiceFactory.getDatastoreService(); assertEquals(0, ds.prepare(new Query("yam")).countEntities()); ds.put(new Entity("yam")); ds.put(new Entity("yam")); assertEquals(2, ds.prepare(new Query("yam")).countEntities()); } @Test public void testInsert1() { doTest(); } @Test public void testInsert2() { doTest(); } @Test public void foo() { assertEquals(4, 2 + 2); } }

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  • What is "read operations inside transactions can't allow failover" ?

    - by Kenyth
    From time to time I got the following exception message on GAE for my GAE/J app. I searched with Google, no relevant results were found. Does anyone know about this? Thanks in advance for any response! The exception message is as below: Nested in org.springframework.orm.jpa.JpaSystemException: Illegal argument; nested exception is javax.persistence.PersistenceException: Illegal argument: java.lang.IllegalArgumentException: read operations inside transactions can't allow failover at com.google.appengine.api.datastore.DatastoreApiHelper.translateError(DatastoreApiHelper.java: 34) at com.google.appengine.api.datastore.DatastoreApiHelper.makeSyncCall(DatastoreApiHelper.java: 67) at com.google.appengine.api.datastore.DatastoreServiceImpl $1.run(DatastoreServiceImpl.java:128) at com.google.appengine.api.datastore.TransactionRunner.runInTransaction(TransactionRunner.java: 30) at com.google.appengine.api.datastore.DatastoreServiceImpl.get(DatastoreServiceImpl.java: 111) at com.google.appengine.api.datastore.DatastoreServiceImpl.get(DatastoreServiceImpl.java: 84) at com.google.appengine.api.datastore.DatastoreServiceImpl.get(DatastoreServiceImpl.java: 77) at org.datanucleus.store.appengine.RuntimeExceptionWrappingDatastoreService.get(RuntimeExceptionWrappingDatastoreService.java: 53) at org.datanucleus.store.appengine.DatastorePersistenceHandler.get(DatastorePersistenceHandler.java: 94) at org.datanucleus.store.appengine.DatastorePersistenceHandler.get(DatastorePersistenceHandler.java: 106) at org.datanucleus.store.appengine.DatastorePersistenceHandler.fetchObject(DatastorePersistenceHandler.java: 464) at org.datanucleus.state.JDOStateManagerImpl.loadUnloadedFieldsInFetchPlan(JDOStateManagerImpl.java: 1627) at org.datanucleus.state.JDOStateManagerImpl.loadFieldsInFetchPlan(JDOStateManagerImpl.java: 1603) at org.datanucleus.ObjectManagerImpl.performDetachAllOnCommitPreparation(ObjectManagerImpl.java: 3192) at org.datanucleus.ObjectManagerImpl.preCommit(ObjectManagerImpl.java: 2931) at org.datanucleus.TransactionImpl.internalPreCommit(TransactionImpl.java: 369) at org.datanucleus.TransactionImpl.commit(TransactionImpl.java:256) at org.datanucleus.jpa.EntityTransactionImpl.commit(EntityTransactionImpl.java: 104) at org.datanucleus.store.appengine.jpa.DatastoreEntityTransactionImpl.commit(DatastoreEntityTransactionImpl.java: 55) at name.kenyth.playtweets.service.Tx.run(Tx.java:39) at name.kenyth.playtweets.web.controller.TwitterApiController.persistStatus(TwitterApiController.java: 309) at name.kenyth.playtweets.web.controller.TwitterApiController.processStatusesForWebCall(TwitterApiController.java: 271) at name.kenyth.playtweets.web.controller.TwitterApiController.getHomeTimelineUpdates_aroundBody0(TwitterApiController.java: 247) at name.kenyth.playtweets.web.controller.TwitterApiController $AjcClosure1.run(TwitterApiController.java:1) at name.kenyth.playtweets.web.refine.AuthenticationEnforcement.ajc $around$name_kenyth_playtweets_web_refine_AuthenticationEnforcement $2$439820b7proceed(AuthenticationEnforcement.aj:1) at name.kenyth.playtweets.web.refine.AuthenticationEnforcement.ajc $around$name_kenyth_playtweets_web_refine_AuthenticationEnforcement $2$439820b7(AuthenticationEnforcement.aj:168) at name.kenyth.playtweets.web.controller.TwitterApiController.getHomeTimelineUpdates(TwitterApiController.java: 129) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Method.java:43) at org.springframework.web.bind.annotation.support.HandlerMethodInvoker.doInvokeMethod(HandlerMethodInvoker.java: 710) at org.springframework.web.bind.annotation.support.HandlerMethodInvoker.invokeHandlerMethod(HandlerMethodInvoker.java: 167) at org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter.invokeHandlerMethod(AnnotationMethodHandlerAdapter.java: 414) at org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter.handle(AnnotationMethodHandlerAdapter.java: 402) at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java: 771) at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java: 716) at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java: 647) at org.springframework.web.servlet.FrameworkServlet.doGet(FrameworkServlet.java: 552) at javax.servlet.http.HttpServlet.service(HttpServlet.java:693) at javax.servlet.http.HttpServlet.service(HttpServlet.java:806) at org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java: 511) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java: 390) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java: 216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java: 182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java: 765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java: 418) at org.mortbay.jetty.servlet.Dispatcher.forward(Dispatcher.java:327) at org.mortbay.jetty.servlet.Dispatcher.forward(Dispatcher.java:126) at org.tuckey.web.filters.urlrewrite.NormalRewrittenUrl.doRewrite(NormalRewrittenUrl.java: 195) at org.tuckey.web.filters.urlrewrite.RuleChain.handleRewrite(RuleChain.java: 159) at org.tuckey.web.filters.urlrewrite.RuleChain.doRules(RuleChain.java: 141) at org.tuckey.web.filters.urlrewrite.UrlRewriter.processRequest(UrlRewriter.java: 90) at org.tuckey.web.filters.urlrewrite.UrlRewriteFilter.doFilter(UrlRewriteFilter.java: 417) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at org.springframework.web.filter.HiddenHttpMethodFilter.doFilterInternal(HiddenHttpMethodFilter.java: 71) at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java: 76) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at org.springframework.web.filter.CharacterEncodingFilter.doFilterInternal(CharacterEncodingFilter.java: 88) at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java: 76) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.ParseBlobUploadFilter.doFilter(ParseBlobUploadFilter.java: 97) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.runtime.jetty.SaveSessionFilter.doFilter(SaveSessionFilter.java: 35) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at com.google.apphosting.utils.servlet.TransactionCleanupFilter.doFilter(TransactionCleanupFilter.java: 43) at org.mortbay.jetty.servlet.ServletHandler $CachedChain.doFilter(ServletHandler.java:1157) at org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java: 388) at org.mortbay.jetty.security.SecurityHandler.handle(SecurityHandler.java: 216) at org.mortbay.jetty.servlet.SessionHandler.handle(SessionHandler.java: 182) at org.mortbay.jetty.handler.ContextHandler.handle(ContextHandler.java: 765) at org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java: 418) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.handle(AppVersionHandlerMap.java: 238) at org.mortbay.jetty.handler.HandlerWrapper.handle(HandlerWrapper.java: 152) at org.mortbay.jetty.Server.handle(Server.java:326) at org.mortbay.jetty.HttpConnection.handleRequest(HttpConnection.java: 542) at org.mortbay.jetty.HttpConnection $RequestHandler.headerComplete(HttpConnection.java:923) at com.google.apphosting.runtime.jetty.RpcRequestParser.parseAvailable(RpcRequestParser.java: 76) at org.mortbay.jetty.HttpConnection.handle(HttpConnection.java:404) at com.google.apphosting.runtime.jetty.JettyServletEngineAdapter.serviceRequest(JettyServletEngineAdapter.java: 135) at com.google.apphosting.runtime.JavaRuntime.handleRequest(JavaRuntime.java: 250) at com.google.apphosting.base.RuntimePb$EvaluationRuntime $6.handleBlockingRequest(RuntimePb.java:5838) at com.google.apphosting.base.RuntimePb$EvaluationRuntime $6.handleBlockingRequest(RuntimePb.java:5836) at com.google.net.rpc.impl.BlockingApplicationHandler.handleRequest(BlockingApplicationHandler.java: 24) at com.google.net.rpc.impl.RpcUtil.runRpcInApplication

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  • Has anyone achieved true differential sync with rsync in ESXi?

    - by Julius
    Berate me later on the fact that I'm using the service console to do anything in ESXi... I've got a working rsync binary (v3.0.4) that I can use in ESXi 4.1U1. I tend to use rsync over cp when copying VM's or backups from one local datastore to another local datastore. I've used rsync to copy data from one ESXi box to another but that was just for small files. In now trying to do true differential syncs of backups taken via ghettoVCB between my primary ESXi machine and a secondary one. But even when I do this locally (one datastore to another datastore on the same ESXi machine) rsync appears to copy the files in their entirety. I've got two VMDK's totally 80GB in size, and rsync still takes anywhere between 1 and 2 hours but the VMDK's aren't growing that much daily. Below is the rsync command I'm executing. I am copying locally because ultimately these files will get copied onto a datastore created from a LUN on a remote system. Its not an rsync that'll be serviced by an rsync daemon on a remote system. rsync -avPSI VMBACKUP_2011-06-10_02-27-56/* VMBACKUP_2011-06-01_06-37-11/ --stats --itemize-changes --existing --modify-window=2 --no-whole-file sending incremental file list >f..t...... VM-flat.vmdk 42949672960 100% 15.06MB/s 0:45:20 (xfer#1, to-check=5/6) >f..t...... VM.vmdk 556 100% 4.24kB/s 0:00:00 (xfer#2, to-check=4/6) >f..t...... VM.vmx 3327 100% 25.19kB/s 0:00:00 (xfer#3, to-check=3/6) >f..t...... VM_1-flat.vmdk 42949672960 100% 12.19MB/s 0:56:01 (xfer#4, to-check=2/6) >f..t...... VM_1.vmdk 558 100% 2.51kB/s 0:00:00 (xfer#5, to-check=1/6) >f..t...... STATUS.ok 30 100% 0.02kB/s 0:00:01 (xfer#6, to-check=0/6) Number of files: 6 Number of files transferred: 6 Total file size: 85899350391 bytes Total transferred file size: 85899350391 bytes Literal data: 2429682778 bytes Matched data: 83469667613 bytes File list size: 129 File list generation time: 0.001 seconds File list transfer time: 0.000 seconds Total bytes sent: 2432530094 Total bytes received: 5243054 sent 2432530094 bytes received 5243054 bytes 295648.92 bytes/sec total size is 85899350391 speedup is 35.24 Is this because ESXi is itself making so many changes to the VMDK's that as far as rsync is concerned the entire file has to be retransmitted? Has anyone actually achieved actual diff sync with ESXi?

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  • Network speed between a VM and another machine which is not residing on the same host, is 11MB/s at most

    - by Henno
    Problem Network speed between a VM and another machine which is not residing on the same host, is 11MB/s at most. Topology Facts ESXi5 version is 5.0.0.504890 VM has the latest Vmware Tools installed VM is using E1000 network driver Physical box has Win Srv 2008 R2 as the OS CrystalDiskMark says the drive on physical box can read/write 100MB/s vCenter is another vm on esx both vm and physical box are showing 1Gbps link speed Configuration Networking shows vmnic0 as 1000 Full NTttcp is a client/server tool from Microsoft for measuring pure network throughput Here's what I've done so far: Test1: VM is running Filezilla FTP Server (default settings, one user account made) Physical box is running Filezilla FTP Client (default settings) Physical box is uploading a big file to FTP server Transfer speed (as observed by Windows Task Manager on both machines): ~11MB/s (bad) Physical box is downloading that file from FTP server Transfer speed (as observed by Windows Task Manager on both machines): still ~11MB/s (bad) Could it be disk performance issue? Test2: Physical box is running ntttcpr.exe -a 6 -m 6,0,VM_IP_ADDRESS VM is running ntttcps.exe -a 6 -m 6,0,PHY_BOX_IP_ADDRESS Transfer speed (as observed by Windows Task Manager on both machines): ~11MB/s (bad) Could it be switch performance issue? Test3: physical box is running vSphere Client I open Summary Storage datastore Browse Datastore... from physical box and upload a file to datastore Transfer speed (as observed by Windows Task Manager on physical box): ~26-36MB/s (good) Could it be a vm specific issue? Test4: Installed ntttcp to another vm on the same esx server Measured network performance between vms on the same esx server with NTttcp Transfer speed (as observed by Windows Task Manager on physical box): ~90-120MB/s (excellent :) Test5: I have another esx server on the same site, connecting to the same datastore and same switch. Those two ESX servers have both 2 NICs. One NIC goes to switch while the other goes directly to the other ESX server. vMotioned one of the testing vms off to the other ESX host Measured network performance between vms on different esx servers with NTttcp Transfer speed (as observed by Windows Task Manager on physical box): ~11MB/s (bad) While I'm aware of these: ESXi 4.1 slow file transfer ESXi 5 network performance is slow Debian Etch and ESXi slow network speeds VMWare ESXi slow file copy to guest they did not help (or I must have been missed something)

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  • Problems Mapping a List of Serializable Objets with JDO

    - by Sergio del Amo
    I have two classes Invoice and InvoiceItem. I would like Invoice to have a List of InvoiceItem Objets. I have red that the list must be of primitive or serializable objects. I have made InvoiceItem Serializable. Invoice.java looks like import java.util.ArrayList; import java.util.Date; import java.util.List; import javax.jdo.annotations.Column; import javax.jdo.annotations.Embedded; import javax.jdo.annotations.EmbeddedOnly; import javax.jdo.annotations.IdGeneratorStrategy; import javax.jdo.annotations.IdentityType; import javax.jdo.annotations.PersistenceCapable; import javax.jdo.annotations.Persistent; import javax.jdo.annotations.Element; import javax.jdo.annotations.PrimaryKey; import com.google.appengine.api.datastore.Key; import com.softamo.pelicamo.shared.InvoiceCompanyDTO; @PersistenceCapable(identityType = IdentityType.APPLICATION) public class Invoice { @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) private Long id; @Persistent private String number; @Persistent private Date date; @Persistent private List<InvoiceItem> items = new ArrayList<InvoiceItem>(); public Invoice() {} public Long getId() { return id; } public void setId(Long id) {this.id = id;} public String getNumber() { return number;} public void setNumber(String invoiceNumber) { this.number = invoiceNumber;} public Date getDate() { return date;} public void setDate(Date invoiceDate) { this.date = invoiceDate;} public List<InvoiceItem> getItems() { return items;} public void setItems(List<InvoiceItem> items) { this.items = items;} } and InvoiceItem.java looks like import java.io.Serializable; import java.math.BigDecimal; import javax.jdo.annotations.PersistenceCapable; import javax.jdo.annotations.Persistent; @PersistenceCapable public class InvoiceItem implements Serializable { @Persistent private BigDecimal amount; @Persistent private float quantity; public InvoiceItem() {} public BigDecimal getAmount() { return amount;} public void setAmount(BigDecimal amount) { this.amount = amount;} public float getQuantity() { return quantity;} public void setQuantity(float quantity) { this.quantity = quantity;} } I get the next error while running a JUnit test. javax.jdo.JDOUserException: Attempt to handle persistence for object using datastore-identity yet StoreManager for this datastore doesn't support that identity type at org.datanucleus.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(NucleusJDOHelper.java:375) at org.datanucleus.jdo.JDOPersistenceManager.jdoMakePersistent(JDOPersistenceManager.java:674) at org.datanucleus.jdo.JDOPersistenceManager.makePersistent(JDOPersistenceManager.java:694) at com.softamo.pelicamo.server.InvoiceStore.add(InvoiceStore.java:23) at com.softamo.pelicamo.server.PopulateStorage.storeInvoices(PopulateStorage.java:58) at com.softamo.pelicamo.server.PopulateStorage.run(PopulateStorage.java:46) at com.softamo.pelicamo.server.InvoiceStoreTest.setUp(InvoiceStoreTest.java:44) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:27) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50) at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193) at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42) at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184) at org.junit.runners.ParentRunner.run(ParentRunner.java:236) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:46) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) NestedThrowablesStackTrace: Attempt to handle persistence for object using datastore-identity yet StoreManager for this datastore doesn't support that identity type org.datanucleus.exceptions.NucleusUserException: Attempt to handle persistence for object using datastore-identity yet StoreManager for this datastore doesn't support that identity type at org.datanucleus.state.AbstractStateManager.<init>(AbstractStateManager.java:128) at org.datanucleus.state.JDOStateManagerImpl.<init>(JDOStateManagerImpl.java:215) at org.datanucleus.jdo.JDOAdapter.newStateManager(JDOAdapter.java:119) at org.datanucleus.state.StateManagerFactory.newStateManagerForPersistentNew(StateManagerFactory.java:150) at org.datanucleus.ObjectManagerImpl.persistObjectInternal(ObjectManagerImpl.java:1297) at org.datanucleus.sco.SCOUtils.validateObjectForWriting(SCOUtils.java:1476) at org.datanucleus.store.mapped.scostore.ElementContainerStore.validateElementForWriting(ElementContainerStore.java:380) at org.datanucleus.store.mapped.scostore.FKListStore.validateElementForWriting(FKListStore.java:609) at org.datanucleus.store.mapped.scostore.FKListStore.internalAdd(FKListStore.java:344) at org.datanucleus.store.appengine.DatastoreFKListStore.internalAdd(DatastoreFKListStore.java:146) at org.datanucleus.store.mapped.scostore.AbstractListStore.addAll(AbstractListStore.java:128) at org.datanucleus.store.mapped.mapping.CollectionMapping.postInsert(CollectionMapping.java:157) at org.datanucleus.store.appengine.DatastoreRelationFieldManager.runPostInsertMappingCallbacks(DatastoreRelationFieldManager.java:216) at org.datanucleus.store.appengine.DatastoreRelationFieldManager.access$200(DatastoreRelationFieldManager.java:47) at org.datanucleus.store.appengine.DatastoreRelationFieldManager$1.apply(DatastoreRelationFieldManager.java:115) at org.datanucleus.store.appengine.DatastoreRelationFieldManager.storeRelations(DatastoreRelationFieldManager.java:80) at org.datanucleus.store.appengine.DatastoreFieldManager.storeRelations(DatastoreFieldManager.java:955) at org.datanucleus.store.appengine.DatastorePersistenceHandler.storeRelations(DatastorePersistenceHandler.java:527) at org.datanucleus.store.appengine.DatastorePersistenceHandler.insertPostProcess(DatastorePersistenceHandler.java:299) at org.datanucleus.store.appengine.DatastorePersistenceHandler.insertObjects(DatastorePersistenceHandler.java:251) at org.datanucleus.store.appengine.DatastorePersistenceHandler.insertObject(DatastorePersistenceHandler.java:235) at org.datanucleus.state.JDOStateManagerImpl.internalMakePersistent(JDOStateManagerImpl.java:3185) at org.datanucleus.state.JDOStateManagerImpl.makePersistent(JDOStateManagerImpl.java:3161) at org.datanucleus.ObjectManagerImpl.persistObjectInternal(ObjectManagerImpl.java:1298) at org.datanucleus.ObjectManagerImpl.persistObject(ObjectManagerImpl.java:1175) at org.datanucleus.jdo.JDOPersistenceManager.jdoMakePersistent(JDOPersistenceManager.java:669) at org.datanucleus.jdo.JDOPersistenceManager.makePersistent(JDOPersistenceManager.java:694) at com.softamo.pelicamo.server.InvoiceStore.add(InvoiceStore.java:23) at com.softamo.pelicamo.server.PopulateStorage.storeInvoices(PopulateStorage.java:58) at com.softamo.pelicamo.server.PopulateStorage.run(PopulateStorage.java:46) at com.softamo.pelicamo.server.InvoiceStoreTest.setUp(InvoiceStoreTest.java:44) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:44) at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15) at org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:41) at org.junit.internal.runners.statements.RunBefores.evaluate(RunBefores.java:27) at org.junit.internal.runners.statements.RunAfters.evaluate(RunAfters.java:31) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:76) at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:50) at org.junit.runners.ParentRunner$3.run(ParentRunner.java:193) at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:52) at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:191) at org.junit.runners.ParentRunner.access$000(ParentRunner.java:42) at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:184) at org.junit.runners.ParentRunner.run(ParentRunner.java:236) at org.eclipse.jdt.internal.junit4.runner.JUnit4TestReference.run(JUnit4TestReference.java:46) at org.eclipse.jdt.internal.junit.runner.TestExecution.run(TestExecution.java:38) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:467) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.runTests(RemoteTestRunner.java:683) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.run(RemoteTestRunner.java:390) at org.eclipse.jdt.internal.junit.runner.RemoteTestRunner.main(RemoteTestRunner.java:197) Moreover, when I try to store an invoice with a list of items through my app. In the development console I can see that items are not persisted to any field while the rest of the invoice class properties are stored properly. Does anyone know what I am doing wrong? Solution As pointed in the answers, the error says that the InvoiceItem class was missing a primaryKey. I tried with: @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) private Long id; But I was getting javax.jdo.JDOFatalUserException: Error in meta-data for InvoiceItem.id: Cannot have a java.lang.Long primary key and be a child object (owning field is Invoice.items). In persist list of objets, @aldrin pointed that For child classes the primary key has to be a com.google.appengine.api.datastore.Key value (or encoded as a string) see So, I tried with Key. It worked. @PrimaryKey @Persistent(valueStrategy = IdGeneratorStrategy.IDENTITY) private Key id;

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  • Windows backups to VM Esxi

    - by Martyn
    I'm very new to ESXi, so apologies if this is a silly question. I have ESXi 5.1 running running on HP Proliant Microserver with internal LUNs RAIDed with HP P410 Smart Array card. I have 2 Windows Server 2012 VMs running as Domain controllers. These are being backed-up up with GhettoVCB to a dedicated datastore hosted on LUNs on a eSata external device. I have several Windows 8 & 7 PC's connected to this domain. I want to back up these Windows PCs, via the built in backup software, ideally to the external eSata device as well. What do I need to do to have the Windows PC's see the datastore? I assume I could create a VM for FreeNas or something, or share out the datastore via one of the Windows Server 2012 VMs. Both those options seem a little bit of an over kill?

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