增加日志打印

data-base/base-sync-amazon-ad/Dockerfile

@@ -20,4 +20,4 @@ RUN cd /usr/app/data-parent && mvn -T 1C install  -pl ../data-base/base-sync-ama
 
 #指定容器启动程序及参数   <ENTRYPOINT> "<CMD>"
 EXPOSE 8080
-ENTRYPOINT ["java","-XX:+UnlockExperimentalVMOptions -XX:+UseCGroupMemoryLimitForHeap","-jar","/usr/app/data-base/base-sync-amazon-ad/target/base-sync-amazon-ad-1.0-SNAPSHOT.jar"]
\ No newline at end of file
+ENTRYPOINT ["java","-Xms600m","-Xmx600m","-XX:+UnlockExperimentalVMOptions -XX:+UseCGroupMemoryLimitForHeap","-jar","/usr/app/data-base/base-sync-amazon-ad/target/base-sync-amazon-ad-1.0-SNAPSHOT.jar"]
\ No newline at end of file

data-base/base-sync-amazon-ad/src/main/java/com/bailuntec/job/AmazonAdDownloadReportJob.java

@@ -72,8 +72,10 @@ public class AmazonAdDownloadReportJob implements SimpleJob {
                 response = client.newCall(request).execute();
                 if (response.isSuccessful()) {
                     gzin = new GZIPInputStream(response.body().byteStream());
+                    log.warn("开始解析账号Id为" + jobAmazonAdLog.getAccountId() +"的Report----" + jobAmazonAdLog.getReportId() + ", 文件大小为" +response.body().contentLength());
                     List<AmazonAdProduct> amazonAdProductList = JSON.parseObject(gzin, new TypeReference<List<AmazonAdProduct>>() {
                     }.getType());
+                    log.warn("账号Id"+ jobAmazonAdLog.getAccountId() +"的Report解析完成");
                     gzin.close();
                     response.close();
                     JobAmazonAdLogMapper jobAmazonAdLogMapper = SessionUtil.getSession().getMapper(JobAmazonAdLogMapper.class);