缓存细化

@@ -230,6 +230,8 @@ public class RedisGwCacheClient implements CacheClient {
 
 	public <K, T> Map<K, T> getBulk(List<RedisKeyBuilder> redisKeyBuilders, Class<T> clazz, Function<List<K>, Map<K, T>> nullCacheFun, Function<String, K> keyConvertFun,
 									long timeOut, String cacheKeyPre, Map<String, K> cacheKeyAndStringMap) {
+		LOGGER.info("method getBulk bengin!");
+
 		try {
 			List<String> multiGet = valueOperations.multiGet(redisKeyBuilders);
 			int size = multiGet.size();
@@ -271,7 +273,7 @@ public class RedisGwCacheClient implements CacheClient {
 		if (apply.isEmpty()) {
 			return;
 		}
-
+		LOGGER.info("method setBulk bengin!");
 		Map<RedisKeyBuilder, String> map = new HashMap<>();
 		for (Map.Entry<K, T> item : apply.entrySet()) {
 			String redisValue;

@@ -22,7 +22,7 @@ import java.util.stream.Collectors;
  */
 @Service
 public class ProductSalesService {
-    private static Logger logger = LoggerFactory.getLogger(ProductSalesService.class);
+    private final static Logger logger = LoggerFactory.getLogger(ProductSalesService.class);
 
     @Autowired
     private ProductSalesMapper productSalesMapper;
@@ -43,6 +43,7 @@ public class ProductSalesService {
             }
         }, new Function<List<Integer>, Map<Integer, Integer>>() {
             public Map<Integer, Integer> apply(List<Integer> nullCacheKeys) {
+                logger.info("productSalesMapper.selectAmountByProductIdList param is {}", nullCacheKeys);
                 List<ProductSales> salesList = productSalesMapper.selectAmountByProductIdList(nullCacheKeys);
                 Map<Integer, Integer> salesMap = salesList.stream()
                         .collect(Collectors.toMap(ProductSales::getProductId, ProductSales::getAmount));