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% ### Fixes [elasticsearch-next-fixes]
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## 9.1.1 [elasticsearch-9.1.1-release-notes]
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```{applies_to}
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stack: coming 9.1.1
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```
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### Fixes [elasticsearch-9.1.1-fixes]
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Data streams:
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:::{dropdown} Disables auto-sharding for LOOKUP index mode
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Auto-sharding for data streams caused unsupported replica scaling when the index mode was set to `LOOKUP`.
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This happened because lookup mappers do not support scaling beyond one replica.
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[#131429](https://github.com/elastic/elasticsearch/pull/131429) resolves this issue by disabling auto-sharding for data streams with `LOOKUP` index mode, avoiding unsupported replica settings.
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:::
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EQL:
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:::{dropdown} Resolves EQL parsing failure for IP-mapped fields in `OR` expressions
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Parsing EQL queries failed when comparing the same IP-mapped field to multiple values joined by an `OR` expression.
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This occurred because lookup operators were internally rewritten into `IN` expressions, which are unsupported for IP-type fields.
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[#132167](https://github.com/elastic/elasticsearch/pull/132167) resolves the issue and ensures EQL can now successfully parse and execute such or queries involving IP fields. (issue: [#118621](https://github.com/elastic/elasticsearch/issues/118621))
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:::
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ES|QL:
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:::{dropdown} Fixes inconsistent equality and hashcode behavior for `ConstantNullBlock`
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Inconsistent equality checks caused `constantNullBlock.equals(anyDoubleBlock)` to return false, even when `doubleBlock.equals(constantNullBlock)` returned true.
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This asymmetry led to unreliable comparisons and mismatched hashcodes when `ConstantNullBlock` was functionally equivalent to other standard blocks.
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[#131817](https://github.com/elastic/elasticsearch/pull/131817) resolves the issue and ensures both equality and hashcode functions are symmetric for these block types.
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:::
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:::{dropdown} Fixes `ConcurrentModificationException` caused by live operator list
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A `ConcurrentModificationException` caused test failures in `CrossClusterAsyncEnrichStopIT.testEnrichAfterStop` under certain conditions.
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This happened because the ES|QL driver added a live operator list to the `DriverStatus` object, which could be modified while the status was being serialized.
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[#132260](https://github.com/elastic/elasticsearch/pull/132260) fixes the issue by copying the operator list before storing it, preventing concurrent changes during status reads.
:::{dropdown} Prevents null pointer exception for `to_lower` and `to_upper` with no parameters
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Calling the `to_lower` or `to_upper` functions with no parameters caused a null pointer exception (NPE), instead of returning a clear error.
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This behavior was a result of an older implementation of these functions.
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[#131917](https://github.com/elastic/elasticsearch/pull/131917) resolves the issue and ensures that empty parameter calls now return the correct error message. (issue: [#131913](https://github.com/elastic/elasticsearch/issues/131913))
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:::
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:::{dropdown} Fixes `aggregate_metric_double` decoding and `mv_expand` behavior on multi-index queries
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Sorting across multiple indices failed when one index contained an `aggregate_metric_double` field and another did not.
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In this case, the missing field was encoded as `NullBlock` but later incorrectly decoded as `AggregateMetricDoubleBlock`, which expects four values. This mismatch caused decoding errors.
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[#131658](https://github.com/elastic/elasticsearch/pull/131658) resolves the issue and also improves `mv_expand` by returning the input block unchanged for unsupported `AggregateMetricDoubleBlock` values, avoiding unnecessary errors.
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:::
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:::{dropdown} Fixes incorrect `ingest_took` value when combining bulk responses
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Combining two `BulkResponse` objects with `ingest_took` set to `NO_INGEST_TOOK` resulted in a combined `ingest_took` value of `-2`, which was invalid.
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This occurred because the combination logic failed to preserve the sentinel `NO_INGEST_TOOK` constant.
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[#132088](https://github.com/elastic/elasticsearch/pull/132088) resolves the issue and ensures the result is correctly set to `NO_INGEST_TOOK` when applicable.
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:::
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:::{dropdown} Disallows remote ENRICH after FORK in query plans
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An invalid combination of `FORK` followed by a remote-only `ENRICH` caused incorrect query planning and failed executions. [#131945](https://github.com/elastic/elasticsearch/pull/131945) resolves the issue by explicitly disallowing this combination, preventing invalid plans from being executed. (issue: [#131445](https://github.com/elastic/elasticsearch/issues/131445))
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:::
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:::{dropdown} Adds support for splitting large pages on load to avoid memory pressure
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Loading large rows from a single segment occasionally created oversized pages when decoding values row-by-row, particularly for text and geo fields.
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This could cause memory pressure or degraded performance.
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[#131053](https://github.com/elastic/elasticsearch/pull/131053) resolves the issue by estimating the size of each page as rows are loaded.
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If the estimated size exceeds a configurable `jumbo` threshold (defaulting to one megabyte), row loading stops early, the page is returned, and remaining rows are processed in subsequent iterations.
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This prevents loading incomplete or oversized pages during data aggregation.
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:::
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Infra/Core:
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:::{dropdown} Grants server module read/write permissions for deprecated `path.shared_data` setting
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Grants the server module read/write access to the deprecated `path.shared_data` setting.
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[#131680](https://github.com/elastic/elasticsearch/pull/131680) resolves issues surfaced in internal testing and ensures compatibility with legacy configurations.
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:::
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Ingest Node:
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:::{dropdown} Fixes incorrect mapping resolution in simulate ingest API when `mapping_addition` is provided
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When using the simulate ingest API with a `mapping_addition`, the system incorrectly ignored the existing mapping of the target index and instead applied the mapping from a matching index template, if one existed.
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This caused mismatches between the index and simulation behavior.
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[#132101](https://github.com/elastic/elasticsearch/pull/132101) resolves the issue and ensures that the index’s actual mapping is used when available, preserving consistency between simulation and execution.
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:::
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Machine Learning:
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:::{dropdown} Prevents double-counting of allocations in trained model deployment memory estimation
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A recent refactor introduced a bug that caused the trained model memory estimation to double-count the number of allocations, leading to inflated memory usage projections.
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[#131990](https://github.com/elastic/elasticsearch/pull/131990) resolves the issue by reverting the change and restoring accurate memory estimation for trained model deployments.
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:::
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Mapping:
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:::{dropdown} Fixes decoding failure for non-ASCII field names in `_ignored_source`
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A decoding error occurred when field names in `_ignored_source` contained non-ASCII characters.
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This happened because `String.length()` was used to calculate the byte length of the field name, which only works correctly for ASCII characters.
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[#132018](https://github.com/elastic/elasticsearch/pull/132018) resolves the issue by using the actual byte array length of the encoded field name, ensuring proper decoding regardless of character encoding.
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:::
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Search:
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:::{dropdown} Fixes index sort compatibility for `date_nanos` fields in indices created before 7.14
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Indices created prior to version 7.14 that used an index sort on a `date_nanos` field could not be opened in more recent versions due to a mismatch in the default `index.sort.missing` value.
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A change in version 7.14 modified the default from `Long.MIN_VALUE` to `0L`, which caused newer versions to reject those older indices.
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[#132162](https://github.com/elastic/elasticsearch/pull/132162) resolves the issue by restoring the expected default value for indices created before 7.14, allowing them to open successfully in newer versions. (issue: [#132040](https://github.com/elastic/elasticsearch/issues/132040))
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:::
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:::{dropdown} Fix missing removal of query cancellation callback in QueryPhase
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The timeout cancellation callback registered in `QueryPhase` via `addQueryCancellation` was not removed after the query phase completed.
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This caused unintended timeouts or cancellations during subsequent phases under specific conditions (such as large datasets, low timeouts, and partial search results enabled).
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[#130279](https://github.com/elastic/elasticsearch/pull/130279) resolves the issue and ensures predictable behavior by reintroducing the cleanup logic. (issue: [#130071](https://github.com/elastic/elasticsearch/issues/130071))
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