By default, azure does not timeout. This commit adds support for a timeout settings which defaults to 5 minutes.
It's a timeout **per request** not a global timeout for a snapshot request.
It can be defined globally, per account or both. Defaults to `5m`.
```yml
cloud:
azure:
storage:
timeout: 10s
my_account1:
account: your_azure_storage_account1
key: your_azure_storage_key1
default: true
my_account2:
account: your_azure_storage_account2
key: your_azure_storage_key2
timeout: 30s
```
In this example, timeout will be 10s for `my_account1` and 30s for `my_account2`.
Closes#14277.
All those repository settings can also be defined globally in `elasticsearch.yml` file using prefix `repositories.azure.`. For example:
```yml
repositories.azure:
container: backup-container
base_path: backups
chunk_size: 32m
compress": true
```
Closes#13776.
This removes the backward compatibility layer with pre-2.0 indices, notably
the extraction of _id, _routing or _timestamp from the source document when a
path is defined.
This changes a couple of things:
Mappings are truly immutable. Before, each field mapper stored a
MappedFieldTypeReference that was shared across fields that have the same name
across types. This means that a mapping update could have the side-effect of
changing the field type in other types when updateAllTypes is true. This works
differently now: after a mapping update, a new copy of the mappings is created
in such a way that fields across different types have the same MappedFieldType.
See the new Mapper.updateFieldType API which replaces MappedFieldTypeReference.
DocumentMapper is now immutable and MapperService.merge has been refactored in
such a way that if an exception is thrown while eg. lookup structures are being
updated, then the whole mapping update will be aborted. As a consequence,
FieldTypeLookup's checkCompatibility has been folded into copyAndAddAll.
Synchronization was simplified: given that mappings are truly immutable, we
don't need the read/write lock so that no documents can be parsed while a
mapping update is being processed. Document parsing is not performed under a
lock anymore, and mapping merging uses a simple synchronized block.
This adds the required changes/checks so that the build can run on
FreeBSD.
There are a few things that differ between FreeBSD and Linux:
- CPU probes return -1 for CPU usage
- `hot_threads` cannot be supported on FreeBSD
From OpenJDK's `os_bsd.cpp`:
```c++
bool os::is_thread_cpu_time_supported() {
#ifdef __APPLE__
return true;
#else
return false;
#endif
}
```
So this API now returns (for each FreeBSD node):
```
curl -s localhost:9200/_nodes/hot_threads
::: {Devil Hunter Gabriel}{q8OJnKCcQS6EB9fygU4R4g}{127.0.0.1}{127.0.0.1:9300}
hot_threads is not supported on FreeBSD
```
- multicast fails in native `join` method - known bug:
https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=193246
Which causes:
```
1> Caused by: java.net.SocketException: Invalid argument
1> at java.net.PlainDatagramSocketImpl.join(Native Method)
1> at java.net.AbstractPlainDatagramSocketImpl.join(AbstractPlainDatagramSocketImpl.java:179)
1> at java.net.MulticastSocket.joinGroup(MulticastSocket.java:323)
1> at org.elasticsearch.plugin.discovery.multicast.MulticastChannel$Plain.buildMulticastSocket(MulticastChannel.java:309)
```
So these tests are skipped on FreeBSD.
Resolves#15562
DocumentMapperParser has both parse and parseCompressed methods. Except that the
parse methods are ONLY used from the unit tests. This commit removes the parse
method and moves all tests to parseCompressed so that they test more
realistically how mappings are managed.
Then I renamed parseCompressed to parse given that this is the only alternative
anyway.
Adrien Grand
Robert Muir
David Pilato
Robert Muir
Lee Hinman
Ryan Ernst
Costin Leau