distributed-cache

I have run below Test-1 and Test-2 for longer run for performance test with redis configuration values specified, still we see the highlighted error-1 & 2 message and cluster is failing for some time, few of our processing failing. How to solve this problem. please anyone have suggestion to avoid cluster fail which is goes longer than 10seconds, cluster is not coming up within 3 retry attempts (spring retry template we are using for retry mechanism try count is set to 3, and retry after 5sec, its exponential way next attempts) using Jedis client. Error-1: Asynchronous AOF fsync is taking too

I am trying to implement reduce side join , and using mapfile reader to look up distributed cache but it is not looking up the values when checked in stderr it showed the following error, lookupfile file is already present in hdfs , and seems to be loaded correctly into cache as seen in the stdout. java.lang.IllegalArgumentException: Wrong FS: file:/app/hadoop/tmp/mapred/local/taskTracker/distcache/-8118663285704962921_-1196516983_170706299/localhost/input/delivery_status/DeliveryStatusCodes/data, expected: hdfs://localhost:9000 at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:390)

I'm personally committed to .net distributed caching solutions, but I think this question is interesting across all platforms. Is there a distributed caching solution (or generic strategy) that allows to both store objects in the cache while maintaining the integrity of the references between them? To exemplify - Suppose I have an object Foo foo that references an object Bar bar and also and object Foo foo2 that references that same Bar bar . If I load foo to the cache, a copy of bar is stored along with it. If I also load foo2 to the cache, a separate copy of bar is stored along with that. If

As getLocalCacheFiles() is deprecated, I'm trying to find an alternative. getCacheFiles() seems to be one, but I doubt whether they are the same. When you call addCacheFile() , the file in HDFS would be downloaded to every node and using getLocalCacheFiles() you can get the localized file path and you can read it from local file system. However, what getCacheFiles() returns is the URI of the file in HDFS. If you read file by this URI, I doubt that you still read from HDFS instead of local file system. The above is my understanding, I don't know whether it's correct. If so, what's the

I have recently started taking a look into Infinispan as our caching layer. After reading through the operation modes in Infinispan as mentioned below. Embedded mode: This is when you start Infinispan within the same JVM as your applications. Client-server mode: This is when you start a remote Infinispan instance and connect to it using a variety of different protocols. Firstly, I am confuse now which will be best suited to my application from the above two modes. I have a very simple use case, we have a client side code that will make a call to our REST Service using the main VIP of the