Fix an unchecked type conversion warning in JavaBinCodec's readMapEntry's equals() method
Add test
Co-authored-by: Aroop Ganguly <aroop_ganguly@apple.com>
* Remove SRL.listConfigDir (unused)
* Remove SRL.getDataDir
* Remove SRL.getCoreName
* Remove SRL.getCoreProperties
XmlConfigFile needs to be passed in the substitutableProperties
IndexSchema needs to be passed in the substitutableProperties
Remove redundant Properties from CoreContainer constructors
* Remove SRL.newAdminHandlerInstance (unused)
* Remove SRL.openSchema and openConfig
* Avoid SRL.getConfigDir
Also harmonized similar initialization logic between DIH Tika processor & ExtractingRequestHandler.
* Ensure SRL.addToClassLoader and reloadLuceneSPI are called at most once
Don't auto-load "lib" in constructor; wrong place for this logic.
* Avoid SRL.getInstancePath
Added SolrCore.getInstancePath instead
Use CoreContainer.getSolrHome instead
NodeConfig should track solrHome separate from SolrResourceLoader
* Simplify some SolrCore constructors
* Move locateSolrHome to new SolrPaths
* Move "User Files" stuff to SolrPaths
QueryBuilder currently has special logic for graph phrase queries with no slop,
constructing a spanquery that attempts to follow all paths using a combination of
OR and NEAR queries. However, this type of query has known bugs(LUCENE-7398).
This commit removes this logic and just builds a disjunction of phrase queries, one
phrase per path.
* Create properties for PublicKeyHandler to read existing keys from disk
* Move pregenerated keys from core/test-files to test-framework
* Update tests to use existing keys instead of new keys each run
SOLR-12238: Handle boosts in QueryBuilder
QueryBuilder now detects per-term boosts supplied by a BoostAttribute when
building queries using a TokenStream. This commit also adds a DelimitedBoostTokenFilter
that parses boosts from tokens using a delimiter token, and exposes this in Solr
Previous situation:
* The snowball base classes (Among, SnowballProgram, etc) had accumulated local performance-related changes. There was a task that would also "patch" generated classes (e.g. GermanStemmer) after-the-fact.
* Snowball classes had many "non-changes" from the original such as removal of tabs addition of javadocs, license headers, etc.
* Snowball test data (inputs and expected stems) was incorporated into lucene testing, but this was maintained manually. Also files had become large, making the test too slow (Nightly).
* Snowball stopwords lists from their website were manually maintained. In some cases encoding fixes were manually applied.
* Some generated stemmers (such as Estonian and Armenian) exist in lucene, but have no corresponding `.sbl` file in snowball sources at all.
Besides this mess, snowball project is "moving along" and acquiring new languages, adding non-BSD-licensed test data, huge test data, and other complexity. So it is time to automate the integration better.
New situation:
* Lucene has a `gradle snowball` regeneration task. It works on Linux or Mac only. It checks out their repos, applies the `snowball.patch` in our repository, compiles snowball stemmers, regenerates all java code, applies any adjustments so that our build is happy.
* Tests data is automatically regenerated from the commit hash of the snowball test data repository. Not all languages are tested from their data: only where the license is simple BSD. Test data is also (deterministically) sampled, so that we don't have huge files. We just want to make sure our integration works.
* Randomized tests are still set to test every language with generated fake words. The regeneration task ensures all languages get tested (it writes a simple text file list of them).
* Stopword files are automatically regenerated from the commit hash of the snowball website repository.
* The regeneration procedure is idempotent. This way when stuff does change, you know exactly what happened. For example if test data changes to a different license, you may see a git deletion. Or if a new language/stopwords/test data gets added, you will see git additions.
Previous changes to this issue 'fixed' the way the test was creating mock Replica instances,
to ensure all properties were specified -- but these changes tickled a bug in the existing test
scaffolding that caused it's "expecations" to be based on a regex check against only the base "url"
even though the test logic itself looked at the entire "core url"
The result is that there were reproducible failures if/when the randomly generated regex matched
".*1.*" because the existing test logic did not expect that to match the url or a Replica with
a core name of "core1" because it only considered the base url
SOLR-13996: Refactor HttpShardHandler.prepDistributed method into smaller pieces
This commit introduces an interface named ReplicaSource which is marked as experimental. It has two sub-classes named CloudReplicaSource (for solr cloud) and LegacyReplicaSource for non-cloud clusters. The prepDistributed method now calls out to these sub-classes depending on whether the cluster is running on cloud mode or not.
* No Introduction (to Solr) header. Point at solr-upgrade-notes.adoc instead
* No Getting Started header
* No Versions of Major Components header
* No "Upgrade Notes" for subsequent releases. See solr-upgrade-notes.adoc
Closes#1202
Java 13 adds a new doclint check under "accessibility" that the html
header nesting level isn't crazy.
Many are incorrect because the html4-style javadocs had horrible
font-sizes, so developers used the wrong header level to work around it.
This is no issue in trunk (always html5).
Java recommends against using such structured tags at all in javadocs,
but that is a more involved change: this just "shifts" header levels
in documents to be correct.
Current javadocs declare an HTML5 doctype: !DOCTYPE HTML. Some HTML5
features are used, but unfortunately also some constructs that do not
exist in HTML5 are used as well.
Because of this, we have no checking of any html syntax. jtidy is
disabled because it works with html4. doclint is disabled because it
works with html5. our docs are neither.
javadoc "doclint" feature can efficiently check that the html isn't
crazy. we just have to fix really ancient removed/deprecated stuff
(such as use of tt tag).
This enables the html checking in both ant and gradle. The docs are
fixed via straightforward transformations.
One exception is table cellpadding, for this some helper CSS classes
were added to make the transition easier (since it must apply padding
to inner th/td, not possible inline). I added TODOs, we should clean
this up. Most problems look like they may have been generated from a
GUI or similar and not a human.
SOLR-14095 Introduced an issue for rolling restarts (Incompatible Java serialization). This change fixes the compatibility issue while keeping the functionality in SOLR-14095
This triggers various places in the Streaming Expressions code that use background threads
to confirm that the expected credentails (or lack of) are propogarded along.
Test currently has comments + workarounds for 2 known client issues:
- SOLR-14226: SolrStream reports AuthN/AuthZ failures (401|403) as IOException w/o details
- SOLR-14222: CloudSolrClient converts (update) 403 error to 500 error
This also fixes a bug where an inability to assign a node based on existing autoscaling policy resulted in a server error instead of a bad request.
This closes#1152.
* DocValuesFieldExistsQuery and NormsFieldExistsQuery are used for existence queries when possible.
* Added documentation on the difference between field:* and field:[* TO *]
* Use Caffeine impl and weak values (to the schema). Previously the cache never evicted!
* now populating the configSet name from ZK into CloudDescriptor when CloudDescriptor is loaded
* actual schema name needs to be deterministic now; fallback from non-existent managed-schema to schema.xml will thwart this cache
* a test conf/core.properties wasn't actually used and became a problem in it's weird location after I refactored some logic
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