The MapperService doesn't currently check the
index.mapper.dynamic setting during index creation,
so indices can be created with dynamic mappings even
if this setting is false. Add a check that throws an
exception in this case. Fixes#15381
DedicatedClusterSnapshotRestoreIT#testRestoreIndexWithMissingShards took ~1.5 min to finish
due to timeouts that are applied if not all shards are allocated. Now that the index that has
unallocated shareds is not refreshed the test is more reasonable and runs in 15 sec
With this commit we check more precisely on the result of a bulk
request. It could either be ok, fail or be rejected due to resource
constraints. Previously, we have relied that by default we never
get rejected.
However, this is a valid condition even when retrying. With this
commit we check that we either retried often enough that we don't
get rejected *and* if we got rejected that we maxed out the number
of specified retries.
When specifying a string field, you can either do:
```
{
"foo": "bar"
}
```
or
```
{
"foo": {
"value": "bar",
"boost": 42
}
}
```
The latter option is now removed.
Closes#15388
Removal of the pattern node.addShard() -> calculate weight -> node.removeShard() which is expensive as, beside map lookups, it invalidates caching of precomputed values in ModelNode and ModelIndex. Replaced by adding an additional parameter to the weight function which accounts for the added / removed shard.
Today when dynamically mapping a field that is already defined in another type,
we use the regular dynamic mapping logic and try to copy some settings to avoid
introducing conflicts. However this is quite fragile as we don't deal with every
existing setting. This proposes a different approach that will just reuse the
shared field type.
Close#15568
FunctionScoreQuery should do two things that it doesn't do today:
- propagate the two-phase iterator from the wrapped scorer so that things are
still executed efficiently eg. if a phrase or geo-distance query is wrapped
- filter out docs that don't have a high enough score using two-phase
iteration: this way the score is only checked when everything else matches
While doing these changes, I noticed that minScore was ignored when scores were
not needed and that explain did not take it into account, so I fixed these
issues as well.
