Current approach is based on how we represent query data shapes by representing polygons and lines as an edge tree. We are proposing a n ew data structure for geo_shape doc values. failed to establish trust with at the server provided a certificate with subject name and fingerprint the certificate has subject alternative names the certificate is issued by but the server did not provide a copy of the issuing certificate the issuing certificate is trusted in this context with fingerprint This work is early days, but here’s an example log message: Tim V has been working on a Diagnostic Trust Manager the idea here is that this manager wraps another Trust Manager, catches any failures, and provides logging around what went wrong. We are always working on making security configuration issues easier to diagnose and triage. We haven’t seen any usage of sparse_vector, so we opened a PR to deprecate them in 7.6 and removing it in 8.0. While sparse_vector could be useful in the future, we don't have a good enough sense of use cases/requirements around the current implementation to take it to GA, and we also don’t want to keep it as experimental, It would be a bit confusing if dense_vector were GA, but not sparse_vector. Today we have two types for vectors, dense_vector, which has a value for all dimensions, and sparse_vector, that keeps only the non-null dimensions. Since snapshotting unchanged shards can be a significant contributor to snapshot costs, for users that use rolling indices this change should visibly reduce their snapshot cost. This improves resiliency on S3 ( due to it's eventually consistent nature) and reduces the cost of snapshotting an unchanged shard directory by 33% ( we want to bring the cost for that down to zero in a follow-up). Another effect of this change is that data nodes don't have to list out each shard-level directory to find the latest metadata generation as they used to do. The master now keeps track of the state of each shard's metadata, which eliminates an issue where a data node could corrupt the repository or part of it as data nodes now only write new blobs (with unique ids) but never update or delete any blobs from the repository. We merged a big change to the way shard-level snapshot metadata is handled. Next up we are working on the parameters form for each type, starting with "text", "keyword" and “numeric". These changes are living in the Mappings Editor feature branch at the moment #47562 The core is also responsible for managing "nested" fields and "multi-fields". For each field a "name" and a "type" can be specified. The core is responsible for adding, editing and removing fields to the document. We have given the core of the mappings editor some great UI/UX improvements. Elasticsearch Highlights Forging ahead with the Mappings Editor
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