[jira] [Updated] (FLINK-13395) Add source and sink connector for Aliyun Log Service
[ https://issues.apache.org/jira/browse/FLINK-13395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ke Li updated FLINK-13395: -- Description: Alibaba Log Service is a big data service which has been widely used in Alibaba Group and thousands of customers of Alibaba Cloud. The core storage engine of Log Service is named Loghub which is a large scale distributed storage system which provides producer and consumer to push and pull data like Kafka, AWS Kinesis and Azure Eventhub does. There are a lot of users are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming computing. was: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousands of customers of Alibaba Cloud. The core storage engine of Log Service is named Loghub which is a large scale distributed storage system which provides producer and consumer to push and pull data like Kafka, AWS Kinesis and Azure Eventhub does. There are a lot of users are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming computing. > Add source and sink connector for Aliyun Log Service > > > Key: FLINK-13395 > URL: https://issues.apache.org/jira/browse/FLINK-13395 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common >Reporter: Ke Li >Priority: Major > > Alibaba Log Service is a big data service which has been widely used in > Alibaba Group and thousands of customers of Alibaba Cloud. The core storage > engine of Log Service is named Loghub which is a large scale distributed > storage system which provides producer and consumer to push and pull data > like Kafka, AWS Kinesis and Azure Eventhub does. > There are a lot of users are using Log Service to collect and analysis data > from both on premise and cloud data sources, and consuming data stored in Log > Service from Flink or Blink for streaming computing. -- This message was sent by Atlassian Jira (v8.3.2#803003)
[jira] [Updated] (FLINK-13395) Add source and sink connector for Aliyun Log Service
[ https://issues.apache.org/jira/browse/FLINK-13395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ke Li updated FLINK-13395: -- Description: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousands of customers of Alibaba Cloud. The core storage engine of Log Service is named Loghub which is a large scale distributed storage system which provides producer and consumer to push and pull data like Kafka, AWS Kinesis and Azure Eventhub does. There are a lot of users are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming computing. was: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousands of companies on Alibaba Cloud. The core storage engine of Log Service is called Loghub which is a large scale distributed storage system and provides producer/consumer API like Kafka or AWS Kinesis. There are a lot of users of Flink are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming compute. > Add source and sink connector for Aliyun Log Service > > > Key: FLINK-13395 > URL: https://issues.apache.org/jira/browse/FLINK-13395 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common >Reporter: Ke Li >Priority: Major > > Aliyun Log Service is a big data service which has been widely used in > Alibaba Group and thousands of customers of Alibaba Cloud. The core storage > engine of Log Service is named Loghub which is a large scale distributed > storage system which provides producer and consumer to push and pull data > like Kafka, AWS Kinesis and Azure Eventhub does. > There are a lot of users are using Log Service to collect and analysis data > from both on premise and cloud data sources, and consuming data stored in Log > Service from Flink or Blink for streaming computing. -- This message was sent by Atlassian Jira (v8.3.2#803003)
[jira] [Updated] (FLINK-13395) Add source and sink connector for Aliyun Log Service
[ https://issues.apache.org/jira/browse/FLINK-13395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ke Li updated FLINK-13395: -- Description: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousands of companies on Alibaba Cloud. The core storage engine of Log Service is called Loghub which is a large scale distributed storage system and provides producer/consumer API like Kafka or AWS Kinesis. There are a lot of users of Flink are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming compute. was: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousand of companies on Alibaba Cloud. The core storage engine of Log Service is called Loghub which is a large scale distributed storage system and provides producer/consumer API like Kafka or AWS Kinesis. There are a lot of users of Flink are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming compute. > Add source and sink connector for Aliyun Log Service > > > Key: FLINK-13395 > URL: https://issues.apache.org/jira/browse/FLINK-13395 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common >Reporter: Ke Li >Priority: Major > > Aliyun Log Service is a big data service which has been widely used in > Alibaba Group and thousands of companies on Alibaba Cloud. The core storage > engine of Log Service is called Loghub which is a large scale distributed > storage system and provides producer/consumer API like Kafka or AWS Kinesis. > There are a lot of users of Flink are using Log Service to collect and > analysis data from both on premise and cloud data sources, and consuming data > stored in Log Service from Flink or Blink for streaming compute. -- This message was sent by Atlassian JIRA (v7.6.14#76016)
[jira] [Updated] (FLINK-13395) Add source and sink connector for Aliyun Log Service
[ https://issues.apache.org/jira/browse/FLINK-13395?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Ke Li updated FLINK-13395: -- Description: Aliyun Log Service is a big data service which has been widely used in Alibaba Group and thousand of companies on Alibaba Cloud. The core storage engine of Log Service is called Loghub which is a large scale distributed storage system and provides producer/consumer API like Kafka or AWS Kinesis. There are a lot of users of Flink are using Log Service to collect and analysis data from both on premise and cloud data sources, and consuming data stored in Log Service from Flink or Blink for streaming compute. was: Aliyun Log Service is a storage service which has been widely used in Alibaba Group and a lot of customers on Alibaba Cloud. The core storage engine is call Loghub which is a large scale distributed storage system and provides producer/consumer API as Kafka/Kinesis does. There are a lot of users are using Log Service to collect data from on premise and cloud and consuming from Flink or Blink for streaming compute. > Add source and sink connector for Aliyun Log Service > > > Key: FLINK-13395 > URL: https://issues.apache.org/jira/browse/FLINK-13395 > Project: Flink > Issue Type: New Feature > Components: Connectors / Common >Reporter: Ke Li >Priority: Major > > Aliyun Log Service is a big data service which has been widely used in > Alibaba Group and thousand of companies on Alibaba Cloud. The core storage > engine of Log Service is called Loghub which is a large scale distributed > storage system and provides producer/consumer API like Kafka or AWS Kinesis. > There are a lot of users of Flink are using Log Service to collect and > analysis data from both on premise and cloud data sources, and consuming data > stored in Log Service from Flink or Blink for streaming compute. -- This message was sent by Atlassian JIRA (v7.6.14#76016)
