可以根据es的高级查询获取所有的索引,然后可以根据索引的创建时间和数据条数等条件做出筛选
public List<String> getFilterIndex(String index, Long count) throws IOException {
// 定义存储索引的列表
List<String> indexList;
// 创建一个SearchRequest对象,指定要查询的索引名和查询条件
GetAliasesRequest request = new GetAliasesRequest().indices("*");
//获取响应结果
GetAliasesResponse alias = elasticsearchFactory.getClient().indices().getAlias(request, RequestOptions.DEFAULT);
//获取所有索引根据条件筛选下索引
indexList = alias.getAliases().keySet().stream().filter(i -> org.springframework.util.StringUtils.hasText(index) ? i.contains(index) : true).filter(i -> i.contains("_")).filter(i -> !i.contains(mergedIndex)).collect(Collectors.toList());
// 获取当前时间戳
Instant currentInstant = Instant.now();
// 计算一周前的时间戳
Instant oneWeekAgoInstant = currentInstant.minus(7, ChronoUnit.DAYS);
long oneWeekAgoTimeStamp = oneWeekAgoInstant.toEpochMilli();
//根据索引的生成时间和索引的数量进行筛选
List<String> newIndex = indexList.stream().filter(bean -> {
SearchRequest searchRequest = new SearchRequest(bean);
SearchSourceBuilder builder = new SearchSourceBuilder();
builder.query(QueryBuilders.matchAllQuery());
searchRequest.source(builder);
try {
SearchResponse response = elasticsearchFactory.getClient().search(searchRequest, RequestOptions.DEFAULT);
//获取索引详情
GetIndexRequest requestDetail = new GetIndexRequest(bean);
GetIndexResponse responseDetail = elasticsearchFactory.getClient().indices().get(requestDetail, RequestOptions.DEFAULT);
Long totalHits = response.getHits().getTotalHits().value;
Map<String, Settings> indexSettings = responseDetail.getSettings();
Settings settings = indexSettings.get(bean);
//获取索引创建时间
String creationDate = settings.get("index.creation_date");
if (count != null && count > 0) {
return totalHits < count && oneWeekAgoTimeStamp > Long.parseLong(creationDate);
} else {
return oneWeekAgoTimeStamp > Long.parseLong(creationDate);
}
} catch (IOException e) {
throw new SdkException(e.getMessage());
}
}).collect(Collectors.toList());
return newIndex;
}
以上是根据条件获取的索引,会返回一个list集合
然后根据现有的索引去进行索引合并
public void mergeIndex(List<String> mergeIndices) {
// 查询处理需要合并的索引名唯一索引
Set<String> uniqueMerges = mergeIndices.stream().map(bean -> bean.substring(0, bean.lastIndexOf("_"))).collect(Collectors.toSet());
// 遍历唯一索引中index中筛选出需要合并的索引名
uniqueMerges.forEach(indexMerge -> {
// 筛选需要合并的索引数量
List<String> list = mergeIndices.stream().filter(bean -> bean.contains(indexMerge)).collect(Collectors.toList());
// 如果需要合并的索引数量大于1需要进行索引操作
if (list.size() > 1) {
list.forEach(dataIndex -> {
try {
ReindexRequest reindexRequest = new ReindexRequest(); // 创建重新索引请求对象
reindexRequest.setSourceIndices(dataIndex); // 设置源索引,即需要合并的索引名称
reindexRequest.setDestIndex(indexMerge + mergedIndex); // 设置目标索引,即合并后的索引名称
reindexRequest.setConflicts("proceed"); // 设置冲突处理策略,"proceed"表示忽略冲突
SearchRequest searchRequest = new SearchRequest(dataIndex); // 创建搜索请求对象,用于搜索需要合并的索引
SearchSourceBuilder sourceBuilder = new SearchSourceBuilder(); // 创建搜索源构建器
sourceBuilder.query(QueryBuilders.matchAllQuery()); // 添加查询条件,这里使用MatchAllQuery匹配所有文档
searchRequest.source(sourceBuilder); // 将搜索源构建器添加到搜索请求中
SearchResponse searchResponse = elasticsearchFactory.getClient().search(searchRequest, RequestOptions.DEFAULT); // 执行搜索请求,获取搜索响应对象
BulkRequest bulkRequest = new BulkRequest(); // 创建批量请求对象
searchResponse.getHits().forEach(hit -> { // 遍历搜索响应中的所有命中文档
IndexRequest indexRequest = new IndexRequest(indexMerge + mergedIndex).source(hit.getSourceAsString(), XContentType.JSON); // 创建索引请求对象,并将该文档添加到请求中
bulkRequest.add(indexRequest); // 将索引请求对象添加到批量请求中
});
BulkResponse bulkResponse = elasticsearchFactory.getClient().bulk(bulkRequest, RequestOptions.DEFAULT); // 执行批量请求,获取批量响应对象
if (bulkResponse.hasFailures()) { // 判断批量响应是否有错误
logger.error("Failed to merge indices: {}", bulkResponse.buildFailureMessage()); // 如果有错误,记录日志并输出错误信息
} else {
logger.info("Merged indices successfully"); // 如果没有错误,记录日志表示索引合并成功
DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest(dataIndex); // 创建删除索引请求对象
elasticsearchFactory.getClient().indices().delete(deleteIndexRequest, RequestOptions.DEFAULT); // 执行删除索引请求
}
} catch (IOException e) {
logger.info("===============数据合并索引失败=============={}", e.getMessage());
throw new SdkException(ResultEnum.FAIL.message());
}
});
}
});
}
还可以根据更多筛选条件实现请自行扩展