Troubleshooting Apache Kudu
This guide covers basic Apache Kudu troubleshooting information. For more details, see the official Kudu documentation for troubleshooting.
- Issues Starting or Restarting the Master or Tablet Server
- Disk Space Usage
- Reporting Kudu Crashes Using Breakpad
- Troubleshooting Performance Issues
- Usability Issues
- Runtime error: Could not create thread: Resource temporarily unavailable (error 11)
- Tombstoned or STOPPED tablet replicas
- Corruption: checksum error on CFile block
Issues Starting or Restarting the Master or Tablet Server
Errors During Hole Punching Test
Kudu requires hole punching capabilities in order to be efficient. Hole punching support depends upon your operation system kernel version and local filesystem implementation.
RHEL or CentOS 6.4 or later, patched to kernel version of 2.6.32-358 or later. Unpatched RHEL or CentOS 6.4 does not include a kernel with support for hole punching.
Ubuntu 14.04 includes version 3.13 of the Linux kernel, which supports hole punching.
Newer versions of the ext4 and xfs filesystems support hole punching. Older versions that do not support hole punching will cause Kudu to emit an error message such as the following and to fail to start:
Error during hole punch test. The log block manager requires a filesystem with hole punching support such as ext4 or xfs. On el6, kernel version 2.6.32-358 or newer is required. To run without hole punching (at the cost of some efficiency and scalability), reconfigure Kudu with --block_manager=file. Refer to the Kudu documentation for more details. Raw error message follows.
Without hole punching support, the log block manager is unsafe to use. It won’t ever delete blocks, and will consume ever more space on disk.
If you can’t use hole punching in your environment, you can still try Kudu. Enable the file block manager instead of the log block manager by adding the --block_manager=file flag to the commands you use to start the master and tablet servers. The file block manager does not scale as well as the log block manager.
Already present: FS layout already exists
When Kudu starts, it checks each configured data directory, expecting either for all to be initialized or for all to be empty. If a server fails to start with a log message such as the following, then this precondition check has failed.
Check failed: _s.ok() Bad status: Already present: FS layout already exists; not overwriting existing layout: FSManager roots already exist: /data0/kudu/data
This could be because Kudu was configured with non-empty data directories on first startup, or because a previously-running, healthy Kudu process was restarted and at least one data directory was deleted or is somehow corrupted, perhaps because of a disk error. If it is the latter, refer Changing Directory Configuration.
NTP Clock Synchronization
For the master and tablet server daemons, the server’s clock must be synchronized using NTP. In addition, the maximum clock error(not to be mistaken with the estimated error) must be below a configurable threshold. The default value is 10 seconds, but it can be set with the flag --max_clock_sync_error_usec.
If NTP is not installed, or if the clock is reported as unsynchronized, Kudu will not start, and will emit a message such as:
F0924 20:24:36.336809 14550 hybrid_clock.cc:191 Couldn't get the current time: Clock unsynchronized. Status: Service unavailable: Error reading clock. Clock considered unsynchronized.
If NTP is installed and synchronized, but the maximum clock error is too high, the user will see a message such as:
Sep 17, 8:13:09.873 PM FATAL hybrid_clock.cc:196 Couldn't get the current time: Clock synchronized, but error: 11130000, is past the maximum allowable error: 10000000
Sep 17, 8:32:31.135 PM FATAL tablet_server_main.cc:38 Check failed: _s.ok() Bad status: Service unavailable: Cannot initialize clock: Cannot initialize HybridClock. Clock synchronized but error was too high (11711000 us).
To install NTP, use the command appropriate for your operating system:
sudo apt-get install ntp
sudo yum install ntp
If NTP is installed but not running, start it using one of these commands:
sudo service ntp restart
sudo /etc/init.d/ntpd restart
Monitoring NTP Status
When NTP is installed, you can monitor the synchronization status by running ntptime. For example, a healthy system may report:
ntp_gettime() returns code 0 (OK) time de24c0cf.8d5da274 Tue, Feb 6 2018 16:03:27.552, (.552210980), maximum error 224455 us, estimated error 383 us, TAI offset 0 ntp_adjtime() returns code 0 (OK) modes 0x0 (), offset 1279.543 us, frequency 2.500 ppm, interval 1 s, maximum error 224455 us, estimated error 383 us, status 0x2001 (PLL,NANO), time constant 10, precision 0.001 us, tolerance 500 ppm,
In particular, note the following most important parts of output:
maximum error 22455 us: This value is well under the 10-second maximum error required by Kudu.
status 0x2001 (PLL,NANO): This indicates a healthy synchronization status.
In contrast, a system without NTP properly configured and running will output something like the following:
ntp_gettime() returns code 5 (ERROR) time de24c240.0c006000 Tue, Feb 6 2018 16:09:36.046, (.046881), maximum error 16000000 us, estimated error 16000000 us, TAI offset 0 ntp_adjtime() returns code 5 (ERROR) modes 0x0 (), offset 0.000 us, frequency 2.500 ppm, interval 1 s, maximum error 16000000 us, estimated error 16000000 us, status 0x40 (UNSYNC), time constant 10, precision 1.000 us, tolerance 500 ppm,
Note the UNSYNC status and the 16-second maximum error.
If more detailed information is needed, the ntpq or ntpdc tools can be used to dump further information about which network time servers are currently acting as sources:
$ ntpq -nc lpeers remote refid st t when poll reach delay offset jitter ------------------------------------------------------------------------------ -188.8.131.52 184.108.40.206 2 u 13 64 1 71.743 0.373 0.016 +220.127.116.11 18.104.22.168 2 u 12 64 1 72.583 -0.426 0.028 -22.214.171.124 126.96.36.199 3 u 11 64 1 15.741 2.641 0.021 -188.8.131.52 184.108.40.206 3 u 10 64 1 43.502 0.199 0.029 -220.127.116.11 18.104.22.168 2 u 9 64 1 53.885 -0.016 0.013 *22.214.171.124 .CDMA. 1 u 6 64 1 1.475 -0.400 0.012 +126.96.36.199 249.224.99.213 2 u 7 64 1 1.342 -0.640 0.018 188.8.131.52 184.108.40.206 2 u 6 64 1 17.380 -0.754 0.051 220.127.116.11 18.104.22.168 2 u 5 64 1 57.796 -3.411 0.059 22.214.171.124 .GPSs. 1 u 4 64 1 1.024 -0.374 0.018 126.96.36.199 188.8.131.52 3 u 3 64 1 72.409 0.895 0.964 184.108.40.206 220.127.116.11 2 u 2 64 1 135.195 -0.329 0.171 18.104.22.168 22.214.171.124 2 u 1 64 1 28.570 0.693 0.306 126.96.36.199 .GPS. 1 u 2 64 1 55.652 -0.039 0.019 188.8.131.52 184.108.40.206 2 u 1 64 1 135.265 -0.413 0.037 $ ntpq -nc opeers remote local st t when poll reach delay offset disp ------------------------------------------------------------------------------ -220.127.116.11 10.17.100.238 2 u 17 64 1 71.743 0.373 187.573 +18.104.22.168 10.17.100.238 2 u 16 64 1 72.583 -0.426 187.594 -22.214.171.124 10.17.100.238 3 u 15 64 1 15.741 2.641 187.569 -126.96.36.199 10.17.100.238 3 u 14 64 1 43.502 0.199 187.580 -188.8.131.52 10.17.100.238 2 u 13 64 1 53.885 -0.016 187.561 *184.108.40.206 10.17.100.238 1 u 10 64 1 1.475 -0.400 187.543 +220.127.116.11 10.17.100.238 2 u 11 64 1 1.342 -0.640 187.588 18.104.22.168 10.17.100.238 2 u 10 64 1 17.380 -0.754 187.596 22.214.171.124 10.17.100.238 2 u 9 64 1 57.796 -3.411 187.541 126.96.36.199 10.17.100.238 1 u 8 64 1 1.024 -0.374 187.578 188.8.131.52 10.17.100.238 3 u 7 64 1 72.409 0.895 187.589 184.108.40.206 10.17.100.238 2 u 6 64 1 135.195 -0.329 187.584 220.127.116.11 10.17.100.238 2 u 5 64 1 28.570 0.693 187.606 18.104.22.168 10.17.100.238 1 u 4 64 1 55.652 -0.039 187.587 22.214.171.124 10.17.100.238 2 u 3 64 1 135.265 -0.413 187.621
Using chrony for time synchronization
Some operating systems offer chrony as an alternative to ntpd for network time synchronization. Kudu has been tested most thoroughly using ntpd and use of chrony is considered experimental.
In order to use chrony for synchronization, chrony.conf must be configured with the rtcsync option.
NTP Configuration Best Practices
In order to provide stable time synchronization with low maximum error, follow these best NTP configuration best practices.
Always configure at least four time sources for NTP. In addition to providing redundancy in case one or more time sources becomes unavailable, The NTP protocol is designed to increase its accuracy with a diversity of sources. Even if your organization provides one or more local time servers, configuring additional remote servers is highly recommended for a robust setup.
Pick servers in your server’s local geography. For example, if your servers are located in Europe, pick servers from the European NTP pool. If your servers are running in a public cloud environment, consult the cloud provider’s documentation for a recommended NTP setup. Many cloud providers offer highly accurate clock synchronization as a service.
Use the iburst option for faster synchronization at startup. The iburst option instructs ntpd to send an initial "burst" of time queries at startup. This typically results in a faster time synchronization when a machine restarts.
An example NTP server list may appear as follows:
# Use my organization's internal NTP servers. server ntp1.myorg.internal iburst server ntp2.myorg.internal iburst # Provide several public pool servers from the US pool for # redundancy and robustness. server 0.pool.us.ntp.org iburst server 1.pool.us.ntp.org iburst server 2.pool.us.ntp.org iburst server 3.pool.us.ntp.org iburst
Troubleshooting NTP Stability Problems
As of Kudu 1.6.0, Kudu daemons are able to continue to operate during a brief loss of NTP synchronization. If NTP synchronization is lost for several hours, however, daemons may crash. If a daemon crashes due to NTP synchronization issues, consult the ERROR log for a dump of related information which may help to diagnose the issue.
Disk Space Usage
When using the log block manager (the default on Linux), Kudu uses sparse files to store data. A sparse file has a different apparent size than the actual amount of disk space it uses. This means that some tools may inaccurately report the disk space used by Kudu. For example, the size listed by ls -l does not accurately reflect the disk space used by Kudu data files:
$ ls -lh /data/kudu/tserver/data total 117M -rw------- 1 kudu kudu 160M Mar 26 19:37 0b9807b8b17d48a6a7d5b16bf4ac4e6d.data -rw------- 1 kudu kudu 4.4K Mar 26 19:37 0b9807b8b17d48a6a7d5b16bf4ac4e6d.metadata -rw------- 1 kudu kudu 32M Mar 26 19:37 2f26eeacc7e04b65a009e2c9a2a8bd20.data -rw------- 1 kudu kudu 4.3K Mar 26 19:37 2f26eeacc7e04b65a009e2c9a2a8bd20.metadata -rw------- 1 kudu kudu 672M Mar 26 19:37 30a2dd2cd3554d8a9613f588a8d136ff.data -rw------- 1 kudu kudu 4.4K Mar 26 19:37 30a2dd2cd3554d8a9613f588a8d136ff.metadata -rw------- 1 kudu kudu 32M Mar 26 19:37 7434c83c5ec74ae6af5974e4909cbf82.data -rw------- 1 kudu kudu 4.3K Mar 26 19:37 7434c83c5ec74ae6af5974e4909cbf82.metadata -rw------- 1 kudu kudu 672M Mar 26 19:37 772d070347a04f9f8ad2ad3241440090.data -rw------- 1 kudu kudu 4.4K Mar 26 19:37 772d070347a04f9f8ad2ad3241440090.metadata -rw------- 1 kudu kudu 160M Mar 26 19:37 86e50a95531f46b6a79e671e6f5f4151.data -rw------- 1 kudu kudu 4.4K Mar 26 19:37 86e50a95531f46b6a79e671e6f5f4151.metadata -rw------- 1 kudu kudu 687 Mar 26 19:26 block_manager_instance
Notice that the total size reported is 117MiB, while the first file’s size is listed as 160MiB. Adding the -s option to ls will cause ls to output the file’s disk space usage.
$ du -h /data/kudu/tserver/data118M /data/kudu/tserver/data
$ du -h --apparent-size /data/kudu/tserver/data1.7G /data/kudu/tserver/data
Reporting Kudu Crashes Using Breakpad
Kudu uses the Google Breakpad library to generate a minidump whenever Kudu experiences a crash. A minidump file contains important debugging information about the process that crashed, including shared libraries loaded and their versions, a list of threads running at the time of the crash, the state of the processor registers and a copy of the stack memory for each thread, and CPU and operating system version information. These minidumps are typically only a few MB in size and are generated even if core dump generation is disabled. Currently, generating minidumps is only possible on Linux deployments.
By default, Kudu stores its minidumps in a subdirectory of the configured glog directory called minidumps. This location can be customized by setting the --minidump_path flag. Kudu will retain only a certain number of minidumps before deleting the older ones, in an effort to avoid filling up the disk with minidump files. The maximum number of minidumps that will be retained can be controlled by setting the --max_minidumps gflag.
Minidumps contain information specific to the binary that created them and are therefore not useful without access to the exact binary that crashed, or a very similar binary.
Kudu developers can access the minidump tools in their development environment because they are installed as part of the Kudu thirdparty build. They can be found in the Kudu development environment under uninstrumented/bin. For example, thirdparty/installed/uninstrumented/bin/minidump-2-core.
If minidumps are enabled, it is possible to force Kudu to create a minidump without killing the process. To do that, send a USR1 signal to the kudu-tserver or kudu-master process. For example:
sudo pkill -USR1 kudu-tserver
Viewing the minidump Stack Trace with the GNU Debugger
Although a minidump contains no heap information, it does contain thread and stack information. You can convert a minidump to a core file to view it with GDB.
To convert the minidump (.dmp file) to a core file:
minidump-2-core -o 02cb4a97-ee37-6454-73a9d9cb-590c7dde.core \ 02cb4a97-ee37-6454-73a9d9cb-590c7dde.dmp
To view the core file with GDB (on a parcel deployment):
gdb /opt/cloudera/parcels/KUDU/lib/kudu/sbin-release/kudu-master \ -s /opt/cloudera/parcels/KUDU/lib/debug/usr/lib/kudu/sbin-release/kudu-master.debug \ 02cb4a97-ee37-6454-73a9d9cb-590c7dde.core
Troubleshooting Performance Issues
The Kudu master and tablet server daemons include built-in support for tracing based on the open source Chromium Tracing framework. You can use tracing to diagnose latency issues or other problems on Kudu servers.
Accessing the Tracing Web Interface
The tracing interface is part of the embedded web server in each of the Kudu daemons, and can be accessed using a web browser. Note that while the interface has been known to work in recent versions of Google Chrome, other browsers may not work as expected.
After you have collected traces, you can save these traces as JSON files by clicking Save. To load and analyze a saved JSON file, click Load and choose the file.
RPC Timeout Traces
If client applications are experiencing RPC timeouts, the Kudu tablet server WARNING level logs should contain a log entry which includes an RPC-level trace. For example:
W0922 00:56:52.313848 10858 inbound_call.cc:193] Call kudu.consensus.ConsensusService.UpdateConsensus from 192.168.1.102:43499 (request call id 3555909) took 1464ms (client timeout 1000). W0922 00:56:52.314888 10858 inbound_call.cc:197] Trace: 0922 00:56:50.849505 (+ 0us) service_pool.cc:97] Inserting onto call queue 0922 00:56:50.849527 (+ 22us) service_pool.cc:158] Handling call 0922 00:56:50.849574 (+ 47us) raft_consensus.cc:1008] Updating replica for 2 ops 0922 00:56:50.849628 (+ 54us) raft_consensus.cc:1050] Early marking committed up to term: 8 index: 880241 0922 00:56:50.849968 (+ 340us) raft_consensus.cc:1056] Triggering prepare for 2 ops 0922 00:56:50.850119 (+ 151us) log.cc:420] Serialized 1555 byte log entry 0922 00:56:50.850213 (+ 94us) raft_consensus.cc:1131] Marking committed up to term: 8 index: 880241 0922 00:56:50.850218 (+ 5us) raft_consensus.cc:1148] Updating last received op as term: 8 index: 880243 0922 00:56:50.850219 (+ 1us) raft_consensus.cc:1195] Filling consensus response to leader. 0922 00:56:50.850221 (+ 2us) raft_consensus.cc:1169] Waiting on the replicates to finish logging 0922 00:56:52.313763 (+1463542us) raft_consensus.cc:1182] finished 0922 00:56:52.313764 (+ 1us) raft_consensus.cc:1190] UpdateReplicas() finished 0922 00:56:52.313788 (+ 24us) inbound_call.cc:114] Queueing success response
These traces can indicate which part of the request was slow. Make sure you include them when filing bug reports related to RPC latency outliers.
Kernel Stack Watchdog Traces
Each Kudu server process has a background thread called the Stack Watchdog, which monitors other threads in the server in case they are blocked for longer-than-expected periods of time. These traces can indicate operating system issues or bottle-necked storage.
When the watchdog thread identifies a case of thread blockage, it logs an entry in the WARNING log as follows:
W0921 23:51:54.306350 10912 kernel_stack_watchdog.cc:111] Thread 10937 stuck at /data/kudu/consensus/log.cc:505 for 537ms: Kernel stack: [<ffffffffa00b209d>] do_get_write_access+0x29d/0x520 [jbd2] [<ffffffffa00b2471>] jbd2_journal_get_write_access+0x31/0x50 [jbd2] [<ffffffffa00fe6d8>] __ext4_journal_get_write_access+0x38/0x80 [ext4] [<ffffffffa00d9b23>] ext4_reserve_inode_write+0x73/0xa0 [ext4] [<ffffffffa00d9b9c>] ext4_mark_inode_dirty+0x4c/0x1d0 [ext4] [<ffffffffa00d9e90>] ext4_dirty_inode+0x40/0x60 [ext4] [<ffffffff811ac48b>] __mark_inode_dirty+0x3b/0x160 [<ffffffff8119c742>] file_update_time+0xf2/0x170 [<ffffffff8111c1e0>] __generic_file_aio_write+0x230/0x490 [<ffffffff8111c4c8>] generic_file_aio_write+0x88/0x100 [<ffffffffa00d3fb1>] ext4_file_write+0x61/0x1e0 [ext4] [<ffffffff81180f5b>] do_sync_readv_writev+0xfb/0x140 [<ffffffff81181ee6>] do_readv_writev+0xd6/0x1f0 [<ffffffff81182046>] vfs_writev+0x46/0x60 [<ffffffff81182102>] sys_pwritev+0xa2/0xc0 [<ffffffff8100b072>] system_call_fastpath+0x16/0x1b [<ffffffffffffffff>] 0xffffffffffffffff User stack: @ 0x3a1ace10c4 (unknown) @ 0x1262103 (unknown) @ 0x12622d4 (unknown) @ 0x12603df (unknown) @ 0x8e7bfb (unknown) @ 0x8f478b (unknown) @ 0x8f55db (unknown) @ 0x12a7b6f (unknown) @ 0x3a1b007851 (unknown) @ 0x3a1ace894d (unknown) @ (nil) (unknown)
These traces can be useful for diagnosing root-cause latency issues in Kudu especially when they are caused by underlying systems such as disk controllers or file systems.
Kudu has a hard and soft memory limit. The hard memory limit is the maximum amount a Kudu process is allowed to use, and is controlled by the --memory_limit_hard_bytes flag. The soft memory limit is a percentage of the hard memory limit, controlled by the flag memory_limit_soft_percentage and with a default value of 80%, that determines the amount of memory a process may use before it will start rejecting some write operations.
If the logs or RPC traces contain messages such as the following example, then Kudu is rejecting writes due to memory back pressure. This may result in write timeouts.
Service unavailable: Soft memory limit exceeded (at 96.35% of capacity)
There are several ways to relieve the memory pressure on Kudu:
If the host has more memory available for Kudu, increase --memory_limit_hard_bytes.
Increase the rate at which Kudu can flush writes from memory to disk by increasing the number of disks or increasing the number of maintenance manager threads --maintenance_manager_num_threads. Generally, the recommended ratio of maintenance manager threads to data directories is 1:3.
Reduce the volume of writes flowing to Kudu on the application side.
Finally, check the value of the --block_cache_capacity_mb setting. This setting determines the maximum size of Kudu's block cache. While a higher value can help with read and write performance, setting it too high as a percentage of the --memory_limit_hard_bytes setting is harmful. Do not raise --block_cache_capacity_mb above --memory_pressure_percentage (default 60%) of --memory_limit_hard_bytes, as this will cause Kudu to flush aggressively even if write throughput is low. The recommended value for --block_cache_capacity_mb is below the following:
(50% * --memory_pressure_percentage) * --memory_limit_hard_bytes
With the defaults, this means the --block_cache_capacity_mb should not exceed 30% of --memory_limit_hard_bytes.
For advanced debugging of memory usage, administrators may enable heap sampling on Kudu daemons. This allows Kudu developers to associate memory usage with the specific lines of code and data structures responsible. When reporting a bug related to memory usage or an apparent memory leak, heap profiling can give quantitative data to pinpoint the issue.
To enable heap sampling on a Kudu daemon, pass the flag --heap-sample-every-n-bytes=524588. If heap sampling is enabled, the current sampled heap occupancy can be retrieved over HTTP by visiting http://tablet-server.example.com:8050/pprof/heap or http://master.example.com:8051/pprof/heap. The output is a machine-readable dump of the stack traces with their associated heap usage.
Rather than visiting the heap profile page directly in a web browser, it is typically more useful to use the pprof tool that is distributed as part of the gperftools open source project. For example, a developer with a local build tree can use the following command to collect the sampled heap usage and output an SVG diagram:
thirdparty/installed/uninstrumented/bin/pprof -svg 'http://localhost:8051/pprof/heap' > /tmp/heap.svg
The resulting SVG may be visualized in a web browser or sent to the Kudu community to help troubleshoot memory occupancy issues.
Slow Name Resolution and nscd
For better scalability on nodes hosting many replicas, we recommend that you use nscd (name service cache daemon) to cache both DNS name resolution and static name resolution (via /etc/hosts).
When DNS lookups are slow, you will see a log message similar to the following:
W0926 11:19:01.339553 27231 net_util.cc:129] Time spent resolving address for kudu-tserver.example.com: real 4.647s user 0.000s sys 0.000s
nscd can alleviate slow name resolution by providing a cache for the most common name service requests, such as for passwords, groups, and hosts.
Refer to your operating system documentation for how to install and enable nscd.
Consult your operating system's documentation for how to install and enable nscd.
You will encounter this exception when you try to access a Kudu table using Hive. This is not a case of a missing jar, but simply that Impala stores Kudu metadata in Hive in a format that is unreadable to other tools, including Hive itself. and Spark. Currently, there is no workaround for Hive users. Spark users can work around this by creating temporary tables.
Runtime error: Could not create thread: Resource temporarily unavailable (error 11)
You will encounter this error when Kudu is unable to create more threads, usually on versions older than CDH 5.15 / Kudu 1.7. It happens on tablet servers, and is a sign that the tablet server hosts too many tablet replicas.
To fix the issue, you can raise the nproc ulimit as detailed in the documentation for your operating system or distribution.
However, the better solution is to reduce the number of replicas on the tablet server. This may involve rethinking the table's partitioning schema. For the recommended limits on number of replicas per tablet server, see the known issues and scaling limitations documentation.
Tombstoned or STOPPED tablet replicas
You may notice some replicas on a tablet server are in a STOPPED state and remain on the server indefinitely. These replicas are tombstones. A tombstone indicates that the tablet server once held a bona fide replica of its tablet. For example, in case a tablet server goes down and its replicas are re-replicated elsewhere, if the tablet server rejoins the cluster, its replicas will become tombstones. A tombstone will remain until the table it belongs to is deleted, or a new replica of the same tablet is placed on the tablet server. A count of tombstoned replicas and details of each one are available on the /tablets page of the tablet server web UI. The Raft consensus algorithm that Kudu uses for replication requires tombstones for correctness in certain rare situations. They consume minimal resources and hold no data. They must not be deleted.
Corruption: checksum error on CFile block
If the data on disk becomes corrupt, you will encounter warnings containing "Corruption: checksum error on CFile block" in the tablet server logs and client side errors when trying to scan tablets with corrupt CFile blocks. Fixing this corruption is a manual process.
To fix the issue, first identify all the affected tablets by running a checksum scan on the affected tables or tablets using the ksck tool.
sudo -u kudu kudu cluster ksck <master_addresses> -checksum_scan -tables=<tables> sudo -u kudu kudu cluster ksck <master_addresses> -checksum_scan -tablets=<tablets>
If there is at least one replica for each tablet that does not return a corruption error, you can repair the bad copies by deleting them and forcing them to be re-replicated from the leader using the remote_replica delete tool.
sudo -u kudu kudu remote_replica delete <tserver_address> <tablet_id> "Cfile Corruption"
If all of the replica are corrupt, then some data loss has occurred. Until KUDU-2526 is completed, this can happen if the corrupt replica became the leader and the existing follower replicas are replaced.
If data has been lost, you can repair the table by replacing the corrupt tablet with an empty one using the unsafe_replace_tablet tool.
sudo -u kudu kudu tablet unsafe_replace_tablet <master_addresses> <tablet_id>