Solaris File Temporarily Unavailable On The Server Retrying

Hard-mounted remote file systems cause programs to hang until the server responds because the client retries the mount request until it succeeds. You should use the -bg flag with the mount command when performing a hard mount so that if the server does not respond, the client will retry the mount in the background.

When an application program writes data to a file in an NFS-mounted file system, the write operation is scheduled for asynchronous processing by the biod daemon. If an error occurs at the NFS server at the same time that the data is actually written to disk, the error is returned to the NFS client and the biod daemon saves the error internally in NFS data structures. The stored error is subsequently returned to the application program the next time it calls either the fsync or close functions. As a consequence of such errors, the application is not notified of the write error until the program closes the file. A typical example of this event is when a file system on the server is full, causing writes attempted by a client to fail.

If the file system you want is not in the list, or your machine name or netgroup name is not in the user list for the file system, log in to the server and check the /etc/exports file for the correct file system entry. A file system name that appears in the /etc/exports file, but not in the output from the showmount command, indicates a failure in the mountd daemon. Either the daemon could not parse that line in the file, it could not find the directory, or the directory name was not a locally mounted directory. If the /etc/exports file looks correct and your network runs NIS, check the server's ypbind daemon. It may be stopped or hung.

Check the server's /etc/exports file, and, if applicable, the ypbind daemon. In this case you can just change your host name with the hostname command and retry the mount command.

Check the servers from which you have mounted file systems if your machine hangs completely. If one or more of them is down, do not be concerned. When the server comes back up, your programs continue automatically. No files are destroyed.

If a soft-mounted server dies, other work is not affected. Programs that time out trying to access soft-mounted remote files fail with the errno message, but you will still be able to access your other file systems.

The simplest case occurs when nonsecure mounts are specified and NIS is not used. In this case, user IDs (UIDs) and group IDs (GIDs) are mapped solely through the server and clients /etc/passwd and /etc/group files, respectively. In this scheme, for a user named john to be identified both on the client and on the server as john, the user john in the /etc/passwd file must have the same UID number. The following is an example of how this might cause problems:

The server bar thinks the files belong to user jane, because jane is UID 200 on bar. If john logs on directly to bar by using the rlogin command, he may not be able to access the files he just created while working on the remotely mounted file system. jane, however, is able to do so because the machines arbitrate permissions by UID, not by name.

The only permanent solution to this is to reassign consistent UIDs on the two machines. For example, give john UID 200 on server bar or 250 on client foo. The files owned by john would then need to have the chown command run against them to make them match the new ID on the appropriate machine.

When mounting a file system from a pre-Version 3 NFS server onto a Version 3 NFS client, a problem occurs when the user on the client executing the mount is a member of more than eight groups. Some servers are not able to deal correctly with this situation and deny the request for the mount. The solution is to change the user's group membership to a number less than eight and then retry the mount. The following error message is characteristic of this group problem:

If you do not have a nameserver listed in the file, add at least one. 8.8.8.8 and 8.8.4.4 are the popular nameservers owned by Google, but you can add any functional DNS server to this list.

If your resolv.conf file contains valid DNS servers, but the error persists, it may be due to misconfigured file permissions. Change ownership of the file to the root user with the following command:

In other words, NFS servers can choose how to behave if a file isrenamed; it's perfectly valid for any NFS server to return a Stale fileerror when that happens. We surmised that even though the results weredifferent, the problem was likely related to the same issue. Wesuspected some cache validation issue because running ls in thedirectory would "clear" the error. Now that we had a reproducible testcase, we asked the experts: the Linux NFS maintainers.

In a nutshell, NFS v4 introduced server delegations as a way to speed up file access. A server candelegate read or write access to a client so that the client doesn'thave to keep asking the server whether that file has changed by anotherclient. In simpler terms, a write delegation is akin to someone lendingyou a notebook and saying, "Go ahead and write in here, and I'll take itback when I'm ready." Instead of having to ask to borrow the notebookevery time you want to write a new paragraph, you have free rein untilthe owner reclaims the notebook. In NFS terms, this reclamation processis called a delegation recall.

Indeed, a bug in the NFS delegation recall might explain the Stale filehandle problem. Remember that in the earlier experiment, Alice hadan open file to test1.txt when it was replaced by test2.txt later.It's possible that the server failed to recall the delegation ontest1.txt, resulting in an incorrect state. To check whether this wasan issue, we turned to tcpdump to capture NFS traffic and usedWireshark to visualize it.

In this diagram, we can see in step 1 Alice opens test1.txt and getsback an NFS file handle along with a stateid of 0x3000. When Bobattempts to rename the file, the NFS server tells to Bob to retry viathe NFS4ERR_DELAY message while it recalls the delegation from Alicevia the CB_RECALL message (step 3). Alice then returns her delegationvia DELEGRETURN (step 4), and then Bob attempts to send anotherRENAME message (step 5). The RENAME completes in both cases, butAlice continues to read using the same file handle.

The main difference happens at the bottom at step 6. Notice in NFS v4.0(the stale file case), Alice attempts to reuse the same stateid. InNFS v4.1 (working case), Alice performs an additional LOOKUP andOPEN, which causes the server to return a different stateid. In v4.0,these extra messages are never sent. This explains why Alice continuesto see stale content because she uses the old file handle.

In rarer cases dynamic port allocation needs to be configured.Note: If the VM that is failing to be connected to is Windows Server 2003, you need to use the RPC Configuration Tool (RPCCfg.exe) from the Windows Server 2003 Resource Kit to complete the process that is described in this article. Additional troubleshooting steps can be found in the following Microsoft KB article: -server-troubleshooting-the-rpc-server-is-unavailable.aspx

By default, the Tanium Server automatically cleans the repository (deletes unused package files) every Sunday at 2 AM. However, if you see symptoms of low disk space on the server, you can manually clean the repository before then if the server is deployed on a Windows host. For example, when space is low, users might not be able to access the Tanium Console sign-in page or they might experience sign-in failures.

Tanium Support is your first contact for assistance with preparing for and performing a solution installation or upgrade, as well as verifying and troubleshooting the initial deployment. If you require further assistance from Tanium Support, include version information for Tanium Core Platform components and specific details on dependencies, such as the host system hardware and OS details and database server version. You can also send Tanium Support a collection of logs and other information as a ZIP file. See Collect Interact logs.

Status code 503, "service unavailable", is a server-side error. It usually means the server is temporarily unavailable. It's not ready to handle the request, and won't be able to process it. If a server is down for maintenance or overloaded, it will often return with a 503 response.

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In our experience messaging uses are often comparatively low-throughput, but may require low end-to-end latency and often depend on the strongdurability guarantees Kafka provides.In this domain Kafka is comparable to traditional messaging systems such as ActiveMQ orRabbitMQ.Website Activity TrackingThe original use case for Kafka was to be able to rebuild a user activity tracking pipeline as a set of real-time publish-subscribe feeds.This means site activity (page views, searches, or other actions users may take) is published to central topics with one topic per activity type.These feeds are available for subscription for a range of use cases including real-time processing, real-time monitoring, and loading into Hadoop oroffline data warehousing systems for offline processing and reporting.Activity tracking is often very high volume as many activity messages are generated for each user page view.MetricsKafka is often used for operational monitoring data.This involves aggregating statistics from distributed applications to produce centralized feeds of operational data.Log AggregationMany people use Kafka as a replacement for a log aggregation solution.Log aggregation typically collects physical log files off servers and puts them in a central place (a file server or HDFS perhaps) for processing.Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages.This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption.In comparison to log-centric systems like Scribe or Flume, Kafka offers equally good performance, stronger durability guarantees due to replication,and much lower end-to-end latency.Stream ProcessingMany users of Kafka process data in processing pipelines consisting of multiple stages, where raw input data is consumed from Kafka topics and thenaggregated, enriched, or otherwise transformed into new topics for further consumption or follow-up processing.For example, a processing pipeline for recommending news articles might crawl article content from RSS feeds and publish it to an "articles" topic;further processing might normalize or deduplicate this content and publish the cleansed article content to a new topic;a final processing stage might attempt to recommend this content to users.Such processing pipelines create graphs of real-time data flows based on the individual topics.Starting in 0.10.0.0, a light-weight but powerful stream processing library called Kafka Streamsis available in Apache Kafka to perform such data processing as described above.Apart from Kafka Streams, alternative open source stream processing tools include Apache Storm andApache Samza.Event SourcingEvent sourcing is a style of application design where state changes are logged as atime-ordered sequence of records. Kafka's support for very large stored log data makes it an excellent backend for an application built in this style.Commit LogKafka can serve as a kind of external commit-log for a distributed system. The log helps replicate data between nodes and acts as a re-syncingmechanism for failed nodes to restore their data.The log compaction feature in Kafka helps support this usage.In this usage Kafka is similar to Apache BookKeeper project. 1.3 Quick Start /*Licensed to the Apache Software Foundation (ASF) under one or morecontributor license agreements. See the NOTICE file distributed withthis work for additional information regarding copyright ownership.The ASF licenses this file to You under the Apache License, Version 2.0(the "License"); you may not use this file except in compliance withthe License. You may obtain a copy of the License at -2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License.*/// Define variables for doc templatesvar context={ "version": "20", "dotVersion": "2.0", "fullDotVersion": "2.0.0", "scalaVersion": "2.11"};This tutorial assumes you are starting fresh and have no existing Kafka or ZooKeeper data.Since Kafka console scripts are different for Unix-based and Windows platforms, on Windows platforms use bin\windows\ instead of bin/, and change the script extension to .bat. 2b1af7f3a8

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