Re: Ignite ML withKeepBinary cache
Hi all, Ticket 10700 [1] is resolved, this ticked added support of training models over a cache with binary objects(cache with enabled keepBinary flag) for more details please take a look the mentioned ticked or added example [2]. [1] - https://issues.apache.org/jira/browse/IGNITE-10700 [2] - org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample Best regards, Yuriy Babak пн, 21 янв. 2019 г. в 11:13, otorreno : > Thanks Ilya, > > I got the link to the JIRA ticket in the Ignite Devs mailing list. In fact > I > already included a comment in the ticket. > > I got a response from Alexey Zinoviev in the Dev list too, and I am now > waiting to receive a further update from him on this matter. > > Regards, > > > > -- > Sent from: http://apache-ignite-users.70518.x6.nabble.com/ >
Re: Ignite ML withKeepBinary cache
Thanks Ilya, I got the link to the JIRA ticket in the Ignite Devs mailing list. In fact I already included a comment in the ticket. I got a response from Alexey Zinoviev in the Dev list too, and I am now waiting to receive a further update from him on this matter. Regards, -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Re: Ignite ML withKeepBinary cache
Hello! I can see there is a ticket in JIRA: https://issues.apache.org/jira/browse/IGNITE-10700 If anything is not there please update it. Regards, -- Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Re: Ignite ML withKeepBinary cache
That’s a great investigation! I think the developer mailing list (http://apache-ignite-developers.2346864.n4.nabble.com) would be a better place to discuss the best way to fix it, though. Regards, Stephen > On 2 Jan 2019, at 07:20, otorreno wrote: > > Hi everyone, > > After the new release (2.7.0), I have been playing around with the machine > learning algorithms a bit. > We have some data in a cache created with the "withKeepBinary()" option, and > I wanted > to test if the machine learning algos would work with such a cache. I tried, > but it fails with the following stacktrace: > > org.apache.ignite.IgniteException: testType >at > org.apache.ignite.internal.processors.closure.GridClosureProcessor$C2.execute(GridClosureProcessor.java:1858) >at > org.apache.ignite.internal.processors.job.GridJobWorker$2.call(GridJobWorker.java:568) >at > org.apache.ignite.internal.util.IgniteUtils.wrapThreadLoader(IgniteUtils.java:6816) >at > org.apache.ignite.internal.processors.job.GridJobWorker.execute0(GridJobWorker.java:562) >at > org.apache.ignite.internal.processors.job.GridJobWorker.body(GridJobWorker.java:491) >at > org.apache.ignite.internal.util.worker.GridWorker.run(GridWorker.java:120) >at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) >at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) >at java.lang.Thread.run(Thread.java:748) > Caused by: org.apache.ignite.binary.BinaryInvalidTypeException: testType >at > org.apache.ignite.internal.binary.BinaryContext.descriptorForTypeId(BinaryContext.java:707) >at > org.apache.ignite.internal.binary.BinaryReaderExImpl.deserialize0(BinaryReaderExImpl.java:1757) >at > org.apache.ignite.internal.binary.BinaryReaderExImpl.deserialize(BinaryReaderExImpl.java:1716) >at > org.apache.ignite.internal.binary.BinaryObjectImpl.deserializeValue(BinaryObjectImpl.java:798) >at > org.apache.ignite.internal.binary.BinaryObjectImpl.value(BinaryObjectImpl.java:143) >at > org.apache.ignite.internal.processors.cache.CacheObjectUtils.unwrapBinary(CacheObjectUtils.java:177) >at > org.apache.ignite.internal.processors.cache.CacheObjectUtils.unwrapBinaryIfNeeded(CacheObjectUtils.java:39) >at > org.apache.ignite.internal.processors.cache.query.GridCacheQueryManager$ScanQueryIterator.advance(GridCacheQueryManager.java:3063) >at > org.apache.ignite.internal.processors.cache.query.GridCacheQueryManager$ScanQueryIterator.onHasNext(GridCacheQueryManager.java:2965) >at > org.apache.ignite.internal.util.GridCloseableIteratorAdapter.hasNextX(GridCloseableIteratorAdapter.java:53) >at > org.apache.ignite.internal.util.lang.GridIteratorAdapter.hasNext(GridIteratorAdapter.java:45) >at > org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.computeCount(ComputeUtils.java:313) >at > org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.computeCount(ComputeUtils.java:300) >at > org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.lambda$initContext$9b68d858$1(ComputeUtils.java:222) >at > org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.lambda$affinityCallWithRetries$b46c4136$1(ComputeUtils.java:90) >at > org.apache.ignite.internal.processors.closure.GridClosureProcessor$C2.execute(GridClosureProcessor.java:1855) >... 8 common frames omitted > Caused by: java.lang.ClassNotFoundException: testType >at java.net.URLClassLoader.findClass(URLClassLoader.java:381) >at java.lang.ClassLoader.loadClass(ClassLoader.java:424) >at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338) >at java.lang.ClassLoader.loadClass(ClassLoader.java:357) >at java.lang.Class.forName0(Native Method) >at java.lang.Class.forName(Class.java:348) >at > org.apache.ignite.internal.util.IgniteUtils.forName(IgniteUtils.java:8771) >at > org.apache.ignite.internal.MarshallerContextImpl.getClass(MarshallerContextImpl.java:349) >at > org.apache.ignite.internal.binary.BinaryContext.descriptorForTypeId(BinaryContext.java:698) >... 23 common frames omitted > > Debugging, I found the source of the error, at some point you are just > taking the > name of the upstreamCache (where the data resides), and creating a new > IgniteCache > object using such name before copying the data to a dataset cache. However, > you > are not using the keepBinary property of the original cache. I hardcoded the > "withKeepBinary()" to the following lines: > https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/util/ComputeUtils.java#L162 > https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/util/ComputeUtils.java#L215 > https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/CacheBasedDatasetBuilder.java#L99 > > The previous made it work. I tried to retrieve the keep
Ignite ML withKeepBinary cache
Hi everyone, After the new release (2.7.0), I have been playing around with the machine learning algorithms a bit. We have some data in a cache created with the "withKeepBinary()" option, and I wanted to test if the machine learning algos would work with such a cache. I tried, but it fails with the following stacktrace: org.apache.ignite.IgniteException: testType at org.apache.ignite.internal.processors.closure.GridClosureProcessor$C2.execute(GridClosureProcessor.java:1858) at org.apache.ignite.internal.processors.job.GridJobWorker$2.call(GridJobWorker.java:568) at org.apache.ignite.internal.util.IgniteUtils.wrapThreadLoader(IgniteUtils.java:6816) at org.apache.ignite.internal.processors.job.GridJobWorker.execute0(GridJobWorker.java:562) at org.apache.ignite.internal.processors.job.GridJobWorker.body(GridJobWorker.java:491) at org.apache.ignite.internal.util.worker.GridWorker.run(GridWorker.java:120) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Caused by: org.apache.ignite.binary.BinaryInvalidTypeException: testType at org.apache.ignite.internal.binary.BinaryContext.descriptorForTypeId(BinaryContext.java:707) at org.apache.ignite.internal.binary.BinaryReaderExImpl.deserialize0(BinaryReaderExImpl.java:1757) at org.apache.ignite.internal.binary.BinaryReaderExImpl.deserialize(BinaryReaderExImpl.java:1716) at org.apache.ignite.internal.binary.BinaryObjectImpl.deserializeValue(BinaryObjectImpl.java:798) at org.apache.ignite.internal.binary.BinaryObjectImpl.value(BinaryObjectImpl.java:143) at org.apache.ignite.internal.processors.cache.CacheObjectUtils.unwrapBinary(CacheObjectUtils.java:177) at org.apache.ignite.internal.processors.cache.CacheObjectUtils.unwrapBinaryIfNeeded(CacheObjectUtils.java:39) at org.apache.ignite.internal.processors.cache.query.GridCacheQueryManager$ScanQueryIterator.advance(GridCacheQueryManager.java:3063) at org.apache.ignite.internal.processors.cache.query.GridCacheQueryManager$ScanQueryIterator.onHasNext(GridCacheQueryManager.java:2965) at org.apache.ignite.internal.util.GridCloseableIteratorAdapter.hasNextX(GridCloseableIteratorAdapter.java:53) at org.apache.ignite.internal.util.lang.GridIteratorAdapter.hasNext(GridIteratorAdapter.java:45) at org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.computeCount(ComputeUtils.java:313) at org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.computeCount(ComputeUtils.java:300) at org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.lambda$initContext$9b68d858$1(ComputeUtils.java:222) at org.apache.ignite.ml.dataset.impl.cache.util.ComputeUtils.lambda$affinityCallWithRetries$b46c4136$1(ComputeUtils.java:90) at org.apache.ignite.internal.processors.closure.GridClosureProcessor$C2.execute(GridClosureProcessor.java:1855) ... 8 common frames omitted Caused by: java.lang.ClassNotFoundException: testType at java.net.URLClassLoader.findClass(URLClassLoader.java:381) at java.lang.ClassLoader.loadClass(ClassLoader.java:424) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:338) at java.lang.ClassLoader.loadClass(ClassLoader.java:357) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:348) at org.apache.ignite.internal.util.IgniteUtils.forName(IgniteUtils.java:8771) at org.apache.ignite.internal.MarshallerContextImpl.getClass(MarshallerContextImpl.java:349) at org.apache.ignite.internal.binary.BinaryContext.descriptorForTypeId(BinaryContext.java:698) ... 23 common frames omitted Debugging, I found the source of the error, at some point you are just taking the name of the upstreamCache (where the data resides), and creating a new IgniteCache object using such name before copying the data to a dataset cache. However, you are not using the keepBinary property of the original cache. I hardcoded the "withKeepBinary()" to the following lines: https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/util/ComputeUtils.java#L162 https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/util/ComputeUtils.java#L215 https://github.com/apache/ignite/blob/2.7.0/modules/ml/src/main/java/org/apache/ignite/ml/dataset/impl/cache/CacheBasedDatasetBuilder.java#L99 The previous made it work. I tried to retrieve the keep binary property from the upstreamCache, but I was not able to find the right method to obtain it (I saw the property is stored in the operation context field (opCtx), but it is private and cannot be accessed from the lines I modified) My example code is available at: https://gist.github.com/otorreno/ca6c5347c1bbde2d4fedd02b51d02cbb Any plans on making the machine learning algorithms work with