Before this change the search uses a single index which distinguishes types (repositories, users, etc.) with a field (_type).
But it has turned out that this could lead to problems, in particular if different types have the same field and uses different analyzers for those fields. The following links show even more problems of a combined index:
https://www.elastic.co/blog/index-vs-typehttps://www.elastic.co/guide/en/elasticsearch/reference/6.0/removal-of-types.html
With this change every type becomes its own index and the SearchEngine gets an api to modify multiple indices at once to remove all documents from all indices, which are related to a specific repository, for example.
The search uses another new api to coordinate the indexing, the central work queue.
The central work queue is able to coordinate long-running or resource intensive tasks. It is able to run tasks in parallel, but can also run tasks which targets the same resources in sequence. The queue is also persistent and can restore queued tasks after restart.
Co-authored-by: Konstantin Schaper <konstantin.schaper@cloudogu.com>
The Search api is now simpler, because it provides useful defaults. Only if you want to deviate from the defaults, you can set these values. This is mostly reached by using the builder pattern. Furthermore it is now possible to configure an analyzer per field. The default analyzer is still the one which is derived from the index options, but it is possible to configure a new indexer with the analyzer attribute of the indexed annotation. The attribute allows the configuration for code, identifiers and path. The current implementation uses the same analyzer code, identifiers and path. The new implemented splits tokens on more delimiters as the default analyzer e.g.: dots, underscores etc.
Co-authored-by: René Pfeuffer <rene.pfeuffer@cloudogu.com>
Add a dedicated search page with more results and different types.
Users and groups are now indexed along with repositories.
Co-authored-by: René Pfeuffer <rene.pfeuffer@cloudogu.com>
