Before you begin reading this guide, we recommend you run Elasticsearch Error Check-Up that will review your configuration and resolve issues that cause many errors.
This guide will explain what causes the log “deleting index” to appear and how to resolve this.
Background
To learn about indices in Elasticsearch, read this guide: Elasticsearch Index.
What does this message mean?
When you use the DELETE API, you’ll see the following logs:
[2022-02-12T13:15:46,541][INFO ][o.e.c.m.MetadataDeleteIndexService] [opster] [my_index/gnQA70A1TVWFns7Yp2728Q] deleting index
This is an INFO message informing you that the index `my_index` is being removed from the node.
It’s very important to know that If you don’t have a snapshot or backup set up, you won’t be able to recover the index once it’s been removed.
How to reproduce this log
Make sure your Elasticsearch instance is running before proceeding with the following steps.
Create index:
Using the PUT API, create an index (let’s call it `my_index`):
PUT /my_index
Delete index:
The next step is to use the DELETE API to delete the index:
DELETE /my_index
Overview
Elasticsearch has many settings that can cause significant performance problems if not set correctly. To prevent this happening, Elasticsearch carries out “bootstrap checks” to ensure that these important settings have been covered. If any of the checks fail, Elasticsearch will write an error to the logs and will not start. In this guide we cover common bootstrap checks you should know and how to configure your settings correctly to pass the checks successfully.
Bootstrap checks are carried out when the network.host setting in:
network.host: 0.0.0.0
If network host is not set and you use the default localhost, then Elasticsearch will consider the node to be in development mode, and bootstrap checks will not be enforced.
Common issues with bootstrap checks
If you install elasticsearch using RPM or Debian packages (strongly recommended) then most of the important configuration is already done for you, and the only bootstrap checks you are likely to run up against are the following.
Heap size check
The minimum and maximum heap sizes specified in jvm.options (or via environment variables) must be equal to one another.
File descriptors check
Minimum file descriptors must have been set to at least 65535
Memory lock check
There are various methods used to prevent memory swapping, and you must use one of them. The most common is to set in elasticsearch.yml
bootstrap.memory_lock: true
For this to be effective you must give permission to elasticsearch to enable this. There are various ways to do so, depending upon your operating system.
Discovery configuration checks
At least one of the following properties must be configured in elasticsearch.yml to ensure that your node can form a cluster properly:
- discovery.seed_hosts
- discovery.seed_providers
- cluster.initial_master_nodes
Less common bootstrap check issues
If you are not using RPM or debian packages, you may come across the following issues:
Max number of threads check
You must allow your system to create at least 4096 threads. In linux this is done by editing /etc/security/limits.conf and adjusting the nproc setting.
Max file size check
Your system should be able to create unlimited file sizes. In linux this is done by editing /etc/security/limits.conf and adjusting the fsize setting
Max virtual memory check
The system should be able to create unlimited virtual memory for the elasticsearch user.
This is done by editing /etc/security/limits.conf
<user> - as unlimited
Max map count check
The system must be able to use mmap effectively. This is done by running the command
sysctl vm.max_map_count 262144
Other checks
The following checks are also carried out, but are rarely found:
OsX File Descriptor Check Client Jvm Check UseS erial GC Check System Call Filter Check Might Fork Check On Error Check On Out Of Memory Error Check Early Access Check G1GC Check All Permission Check
Log Context
Log “Unable to link Windows/Kernel32 library. native methods and handlers will be disabled.” classname is JNAKernel32Library.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
Native.register("kernel32");
logger.debug("windows/Kernel32 library loaded");
} catch (NoClassDefFoundError e) {
logger.warn("JNA not found. native methods and handlers will be disabled.");
} catch (UnsatisfiedLinkError e) {
logger.warn("unable to link Windows/Kernel32 library. native methods and handlers will be disabled.");
}
}
}
static JNAKernel32Library getInstance() {
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