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Java SDK for Milvus, a distributed high-performance vector database.

There is a newer version: 2.4.8

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

package io.milvus.v2.service.vector.request;

import com.google.gson.JsonObject;
import lombok.Builder;
import lombok.Data;
import lombok.experimental.SuperBuilder;

import java.util.List;

@Data
@SuperBuilder
public class UpsertReq {
    /**
     * Sets the row data to insert. The rows list cannot be empty.
     *
     * Internal class for insert data.
     * If dataType is Bool/Int8/Int16/Int32/Int64/Float/Double/Varchar, use JsonObject.addProperty(key, value) to input;
     * If dataType is FloatVector, use JsonObject.add(key, gson.toJsonTree(List[Float]) to input;
     * If dataType is BinaryVector/Float16Vector/BFloat16Vector, use JsonObject.add(key, gson.toJsonTree(byte[])) to input;
     * If dataType is SparseFloatVector, use JsonObject.add(key, gson.toJsonTree(SortedMap[Long, Float])) to input;
     * If dataType is Array, use JsonObject.add(key, gson.toJsonTree(List of Boolean/Integer/Short/Long/Float/Double/String)) to input;
     * If dataType is JSON, use JsonObject.add(key, JsonElement) to input;
     *
     * Note:
     * 1. For scalar numeric values, value will be cut according to the type of the field.
     * For example:
     *   An Int8 field named "XX", you set the value to be 128 by JsonObject.add("XX", 128), the value 128 is cut to -128.
     *   An Int64 field named "XX", you set the value to be 3.9 by JsonObject.add("XX", 3.9), the value 3.9 is cut to 3.
     *
     * 2. String value can be parsed to numeric/boolean type if the value is valid.
     * For example:
     *   A Bool field named "XX", you set the value to be "TRUE" by JsonObject.add("XX", "TRUE"), the string "TRUE" is parsed as true.
     *   A Float field named "XX", you set the value to be "3.5" by JsonObject.add("XX", "3.5", the string "3.5" is parsed as 3.5.
     *
     */
    private List data;
    private String collectionName;
    @Builder.Default
    private String partitionName = "";
}