// 假设已经有了数据库和Elasticsearch客户端的实例
private final JdbcTemplate jdbcTemplate;
private final ElasticsearchClient elasticsearchClient;
public DataSynchronizer(JdbcTemplate jdbcTemplate, ElasticsearchClient elasticsearchClient) {
this.jdbcTemplate = jdbcTemplate;
this.elasticsearchClient = elasticsearchClient;
}
// 同步数据库中的记录到Elasticsearch的方法
public void syncDatabaseToElasticsearch() {
List<Product> products = jdbcTemplate.query(
"SELECT id, name, price FROM products",
(rs, rowNum) -> new Product(rs.getInt("id"), rs.getString("name"), rs.getDouble("price"))
);
// 使用Elasticsearch的BulkProcessor进行批量操作
BulkProcessor bulkProcessor = BulkProcessor.builder(
(actions, bulkRequest, listener) -> elasticsearchClient.bulk(bulkRequest, listener.actionListener),
new BulkProcessor.Listener() {
@Override
public void beforeBulk(long executionId, BulkRequest request) {
// 在执行批量操作前可以进行一些逻辑处理
}
@Override
public void afterBulk(long executionId, BulkRequest request, BulkResponse response) {
// 在批量操作后可以进行一些逻辑处理
}
@Override
public void afterBulk(long executionId, BulkRequest request, Throwable failure) {
// 在批量操作出错后可以进行一些逻辑处理
}
}
).build();
// 将数据库中的记录添加到BulkProcessor进行批量同步
products.forEach(product -> {
IndexRequest indexRequest = new IndexRequest("products")
.id(String.valueOf(product.getId()))
.source(XContentType.JSON, "name", product.getName(), "price", product.getPrice());
bulkProcessor.add(indexRequest);
});
// 关闭BulkProcessor,确保所有待处理的请求得到处理
bulkProcessor.close();
}
// 假设Product是一个包含id,name和price属性的简单类
public static class Product {
private int id;
private String name;
private double price;
// 构造器、getter和setter方法
public Product(int id, String name, double price) {
this.id = id;
this.name = name;
this.price = price;
}
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public S
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