Dependencies: Update elasticsearch, ... from 8.12.2 to 8.13.0 (#673)

Author: alexklibisz-scala-steward[bot]

build.sbt

@@ -6,7 +6,7 @@ Global / scalaVersion := "3.3.3"
 Global / scalacOptions += "-explain"
 
 lazy val CirceVersion = "0.14.6"
-lazy val ElasticsearchVersion = "8.12.2"
+lazy val ElasticsearchVersion = "8.13.0"
 lazy val Elastic4sVersion = "8.11.5"
 lazy val ElastiknnVersion = IO.read(file("version")).strip()
 lazy val LuceneVersion = "9.9.1"

development/README.md

@@ -57,14 +57,18 @@ This makes it relatively easy to run tests, generate docs, publish artifacts, et
 
 ### IDE
 
-I recommend using IntelliJ Idea to work on the Gradle projects and Pycharm to work on the client-python project.
-
-Install the IntelliJ Scala plugin, and then IntelliJ will recognize the SBT project when you open the `elastiknn` directory.
-
-PyCharm can be a bit of a different story. 
-You should first create a virtual environment in `client-python/venv`.
-You can do this by running `task pyVenv`. Even if the tests fail, it will still create the virtual environment.
-Then you should setup PyCharm to use the interpreter in `client-python/venv`. 
+I recommend using IntelliJ Idea to work on the SBT projects and Pycharm to work on the client-python project.
+
+For IntelliJ, install the IntelliJ Scala plugin and open the `elastiknn` directory in IntelliJ.
+IntelliJ should recognize the SBT project.
+You might have to specify the JDK and Scala SDK; as of April 2024, we're using JDK 21 and Scala 3.3.3.
+Since early 2023, we're also using some experimental JDK features which also require some additional settings.
+Go to Settings > Build, Execution, Deployment > Java Compiler, and add `--add-modules jdk.incubator.vector --add-exports java.base/jdk.internal.vm.vector=ALL-UNNAMED --add-exports java.base/jdk.internal.vm.annotation=ALL-UNNAMED` to the "Additional command line parameters".
+Then go to Settings > Build, Execution, Deployment > Scala Compiler, and add the same parameters in the "Additional compiler options".
+
+For Python and Pycharm, you should first create a virtual environment in `client-python/venv`.
+You can do this by running `task pyCreateVenv`.
+Then you should configure PyCharm to use the interpreter in `client-python/venv`.
 
 ### Testing
 

docker/Dockerfile

@@ -1,3 +1,3 @@
-FROM docker.elastic.co/elasticsearch/elasticsearch:8.12.2
+FROM docker.elastic.co/elasticsearch/elasticsearch:8.13.0
 COPY elastiknn-plugin/target/elastiknn*.zip .
 RUN elasticsearch-plugin install -b file:$(ls elastiknn*zip | sort | tail -n1)

docs/pages/installation.md

@@ -42,8 +42,8 @@ Make a Dockerfile like below.
 The image version (`elasticsearch:A.B.C`) must match the plugin's version (e.g. `A.B.C.x/elastiknn-A.B.C.x`).
 
 ```docker
-FROM docker.elastic.co/elasticsearch/elasticsearch:8.12.2
-RUN elasticsearch-plugin install --batch https://github.com/alexklibisz/elastiknn/releases/download/8.12.2.1/elastiknn-8.12.2.1.zip
+FROM docker.elastic.co/elasticsearch/elasticsearch:8.13.0
+RUN elasticsearch-plugin install --batch https://github.com/alexklibisz/elastiknn/releases/download/8.13.0.0/elastiknn-8.13.0.0.zip
 ```
 
 Build and run the Dockerfile. If you have any issues please refer to the [official docs.](https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html)

docs/pages/performance/fashion-mnist/plot.b64

@@ -1,10 +1,10 @@
 |Model|Parameters|Recall|Queries per Second|
 |---|---|---|---|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.379|392.939|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.447|334.503|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|308.154|
-|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.717|270.359|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|347.401|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|296.976|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.922|238.273|
-|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|210.018|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=0|0.378|383.334|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=0|0.446|324.105|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=500 probes=3|0.635|304.168|
+|eknn-l2lsh|L=100 k=4 w=1024 candidates=1000 probes=3|0.716|262.273|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=0|0.767|339.240|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=0|0.847|291.800|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=500 probes=3|0.921|232.473|
+|eknn-l2lsh|L=100 k=4 w=2048 candidates=1000 probes=3|0.960|206.758|

docs/pages/performance/fashion-mnist/plot.png

@@ -2,14 +2,14 @@ package com.klibisz.elastiknn.query
 
 import com.google.common.io.BaseEncoding
 import com.klibisz.elastiknn.ElastiknnException.ElastiknnRuntimeException
-import com.klibisz.elastiknn.api._
+import com.klibisz.elastiknn.api.*
 import com.klibisz.elastiknn.{ELASTIKNN_NAME, api}
 import org.apache.lucene.search.Query
 import org.elasticsearch.action.ActionListener
-import org.elasticsearch.action.get.{GetAction, GetRequest, GetResponse}
+import org.elasticsearch.action.get.{GetRequest, GetResponse}
 import org.elasticsearch.client.internal.Client
 import org.elasticsearch.common.io.stream.{StreamInput, StreamOutput, Writeable}
-import org.elasticsearch.index.query._
+import org.elasticsearch.index.query.*
 import org.elasticsearch.xcontent.{ToXContent, XContentBuilder, XContentParser}
 import org.elasticsearch.{ElasticsearchException, ResourceNotFoundException, TransportVersion, TransportVersions}
 
@@ -124,8 +124,7 @@ final class ElasticsearchQueryBuilder(val query: NearestNeighborsQuery, elastikn
 
     // Request the actual document in order to construct the query
     c.registerAsyncAction((client: Client, listener: ActionListener[_]) => {
-      client.execute(
-        GetAction.INSTANCE,
+      client.get(
         new GetRequest(ixv.index, ixv.id),
         new ActionListener[GetResponse] {
           override def onResponse(response: GetResponse): Unit = {

docs/pages/performance/fashion-mnist/results.md

@@ -1 +1 @@
-8.12.2.1
+8.13.0.0