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bump ml-client to 2.0 (#568)
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Signed-off-by: Yaliang Wu <[email protected]>
(cherry picked from commit 0ae97ad)
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ylwu-amzn authored and github-actions[bot] committed Apr 20, 2022
1 parent 6fda8f7 commit 34ff17f
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Showing 6 changed files with 32 additions and 21 deletions.
11 changes: 11 additions & 0 deletions build.gradle
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Expand Up @@ -7,6 +7,17 @@
buildscript {
ext {
opensearch_version = System.getProperty("opensearch.version", "2.0.0-rc1-SNAPSHOT")
isSnapshot = "true" == System.getProperty("build.snapshot", "true")
buildVersionQualifier = System.getProperty("build.version_qualifier", "rc1")
version_tokens = opensearch_version.tokenize('-')
opensearch_build = version_tokens[0] + '.0'
if (buildVersionQualifier) {
opensearch_build += "-${buildVersionQualifier}"
}
if (isSnapshot) {
// 2.0.0-rc1-SNAPSHOT -> 2.0.0.0-rc1-SNAPSHOT (opensearch_build)
opensearch_build += "-SNAPSHOT"
}
}

repositories {
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2 changes: 1 addition & 1 deletion opensearch/build.gradle
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Expand Up @@ -37,7 +37,7 @@ dependencies {
implementation group: 'com.fasterxml.jackson.dataformat', name: 'jackson-dataformat-cbor', version: '2.13.2'
implementation group: 'org.json', name: 'json', version:'20180813'
compileOnly group: 'org.opensearch.client', name: 'opensearch-rest-high-level-client', version: "${opensearch_version}"
implementation group: 'org.opensearch', name:'opensearch-ml-client', version: '1.3.0.0-SNAPSHOT'
implementation group: 'org.opensearch', name:'opensearch-ml-client', version: "${opensearch_build}"

testImplementation('org.junit.jupiter:junit-jupiter:5.6.2')
testImplementation group: 'org.hamcrest', name: 'hamcrest-library', version: '2.1'
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Expand Up @@ -26,13 +26,13 @@
import lombok.Getter;
import lombok.RequiredArgsConstructor;
import org.opensearch.client.node.NodeClient;
import org.opensearch.ml.common.FunctionName;
import org.opensearch.ml.common.dataframe.DataFrame;
import org.opensearch.ml.common.dataframe.Row;
import org.opensearch.ml.common.parameter.BatchRCFParams;
import org.opensearch.ml.common.parameter.FitRCFParams;
import org.opensearch.ml.common.parameter.FunctionName;
import org.opensearch.ml.common.parameter.MLAlgoParams;
import org.opensearch.ml.common.parameter.MLPredictionOutput;
import org.opensearch.ml.common.input.parameter.MLAlgoParams;
import org.opensearch.ml.common.input.parameter.rcf.BatchRCFParams;
import org.opensearch.ml.common.input.parameter.rcf.FitRCFParams;
import org.opensearch.ml.common.output.MLPredictionOutput;
import org.opensearch.sql.ast.expression.Literal;
import org.opensearch.sql.data.model.ExprValue;
import org.opensearch.sql.planner.physical.PhysicalPlan;
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Expand Up @@ -5,7 +5,7 @@

package org.opensearch.sql.opensearch.planner.physical;

import static org.opensearch.ml.common.parameter.FunctionName.KMEANS;
import static org.opensearch.ml.common.FunctionName.KMEANS;
import static org.opensearch.sql.utils.MLCommonsConstants.CENTROIDS;
import static org.opensearch.sql.utils.MLCommonsConstants.DISTANCE_TYPE;
import static org.opensearch.sql.utils.MLCommonsConstants.ITERATIONS;
Expand All @@ -18,13 +18,12 @@
import lombok.Getter;
import lombok.RequiredArgsConstructor;
import org.opensearch.client.node.NodeClient;
import org.opensearch.ml.common.FunctionName;
import org.opensearch.ml.common.dataframe.DataFrame;
import org.opensearch.ml.common.dataframe.Row;
import org.opensearch.ml.common.parameter.FunctionName;
import org.opensearch.ml.common.parameter.KMeansParams;
import org.opensearch.ml.common.parameter.MLAlgoParams;
import org.opensearch.ml.common.parameter.MLPredictionOutput;
import org.opensearch.sql.ast.expression.Argument;
import org.opensearch.ml.common.input.parameter.MLAlgoParams;
import org.opensearch.ml.common.input.parameter.clustering.KMeansParams;
import org.opensearch.ml.common.output.MLPredictionOutput;
import org.opensearch.sql.ast.expression.Literal;
import org.opensearch.sql.data.model.ExprValue;
import org.opensearch.sql.planner.physical.PhysicalPlan;
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Expand Up @@ -15,16 +15,16 @@
import java.util.concurrent.TimeUnit;
import org.opensearch.client.node.NodeClient;
import org.opensearch.ml.client.MachineLearningNodeClient;
import org.opensearch.ml.common.FunctionName;
import org.opensearch.ml.common.dataframe.ColumnMeta;
import org.opensearch.ml.common.dataframe.ColumnValue;
import org.opensearch.ml.common.dataframe.DataFrame;
import org.opensearch.ml.common.dataframe.DataFrameBuilder;
import org.opensearch.ml.common.dataframe.Row;
import org.opensearch.ml.common.dataset.DataFrameInputDataset;
import org.opensearch.ml.common.parameter.FunctionName;
import org.opensearch.ml.common.parameter.MLAlgoParams;
import org.opensearch.ml.common.parameter.MLInput;
import org.opensearch.ml.common.parameter.MLPredictionOutput;
import org.opensearch.ml.common.input.MLInput;
import org.opensearch.ml.common.input.parameter.MLAlgoParams;
import org.opensearch.ml.common.output.MLPredictionOutput;
import org.opensearch.sql.data.model.ExprBooleanValue;
import org.opensearch.sql.data.model.ExprDoubleValue;
import org.opensearch.sql.data.model.ExprFloatValue;
Expand Down Expand Up @@ -145,8 +145,10 @@ protected Map<String, ExprValue> convertResultRowIntoExprValue(ColumnMeta[] colu
* @param resultRowIter result row iterator
* @return result in ExprTupleValue format
*/
protected ExprTupleValue buildResult(Iterator<Row> inputRowIter, DataFrame inputDataFrame,
MLPredictionOutput predictionResult, Iterator<Row> resultRowIter) {
protected ExprTupleValue buildResult(Iterator<Row> inputRowIter,
DataFrame inputDataFrame,
MLPredictionOutput predictionResult,
Iterator<Row> resultRowIter) {
ImmutableMap.Builder<String, ExprValue> resultSchemaBuilder = new ImmutableMap.Builder<>();
resultSchemaBuilder.putAll(convertRowIntoExprValue(inputDataFrame.columnMetas(),
inputRowIter.next()));
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Expand Up @@ -37,10 +37,9 @@
import org.opensearch.ml.client.MachineLearningNodeClient;
import org.opensearch.ml.common.dataframe.DataFrame;
import org.opensearch.ml.common.dataframe.DataFrameBuilder;
import org.opensearch.ml.common.parameter.MLInput;
import org.opensearch.ml.common.parameter.MLPredictionOutput;
import org.opensearch.ml.common.input.MLInput;
import org.opensearch.ml.common.output.MLPredictionOutput;
import org.opensearch.sql.ast.dsl.AstDSL;
import org.opensearch.sql.ast.expression.Argument;
import org.opensearch.sql.ast.expression.Literal;
import org.opensearch.sql.data.model.ExprIntegerValue;
import org.opensearch.sql.data.model.ExprTupleValue;
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