Re:Re: Re: Multiple dataflow jobs management(lots of jobs)
Hi ThadThank you very much for your advice. Kettle can do the job for sure , but the metadata i was talking about is the metadata of the job descriptions used for kettle itself. The only option left for kettle is multiple instances , but that also means that we need to develop a master application to gather all the instances metadata. Moreover , Kettle does not have a Web Based GUI for designing and testing the job , that39s why we want NIFI , but again , multiple instances of nifi also leads to a HA problem for master node, so we turn to ambari metrics for that issue.Talend has a cloud server doing the similar thing, but it39s running on public cloud which is not accepted by our client.Kettle is a great ETL tool, but Web Based designer is really the master point for future.Thank you very muchYan LiuYan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 14/03/2016邮件原文发件人：Thad Guidry <thadgui...@gmail.com>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-13 23:04:39主题：Re: Re: Multiple dataflow jobs management(lots of jobs) Yan, Pentaho Kettle (PDI) can also certainly handle your needs. But using 10K jobs to accomplish this is not the proper way to setup Pentaho. Also, using MySQL to store the metadata is where you made a wrong choice. PostgreSQL with data silos on SSD drives would be a better choice, while properly doing Async config [1] and other necessary steps for high writes. Don39t keep Pentaho39s Table output commit levels at their default of 10k rows when your processing millions of rows!) For Oracle 11g or PostgreSQL, where I need 30 sec time slice windows for the metadata logging and where I typically have less than 1k of data on average per row, I typically will choose 200k rows or more in Pentaho39s table output commit option. I would suggest you contact Pentaho for some adhoc support or hire some consultants to help you learn more, or setup properly for your use case. For free, you can also just do a web search on "Pentaho best practices". There39s a lot to learn from industry experts who already have used these tools and know their quirks. [1] http://www.postgresql.org/docs/9.5/interactive/runtime-config-resource.html#RUNTIME-CONFIG-RESOURCE-ASYNC-BEHAVIOR Thad+ThadGuidry On Sat, Mar 12, 2016 at 11:00 AM, 刘岩 <liu...@richinfo.cn> wrote:Hi Aldrinsome additional information.it39s a typical ETL offloading user case each extraction job should foucs on 1 table and 1 table only. data will be written on HDFS , this is similar to Database Staging. The reason why we need to foucs on 1 table for each job is because there might be database error or disconnection occur during the extraction , if it39s running as a script like extraction job with expression langurage, then it39s hard to do the re-running or excape thing on that table or tables.once the extraction is done, a triger like action will do the data cleansing. this is similar to ODS layer of Datawarehousingif the data quality has passed the quality check , then it will be marked as cleaned. otherwise , it will return to previous step and redo the data extraction, or send alert/email to the system administrator.if certain numbers of tables were all cleaned and checked , then it will call some Transforming processor to do the transforming ， then push the data into a datawarehouse (Hive in our case)Thank you very much Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 13/03/2016邮件原文发件人："刘岩" <liu...@richinfo.cn>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-13 00:12:27主题：Re:Re: Multiple dataflow jobs management(lots of jobs) Hi AldrinCurrently we need to extract 60K tables per day , and the time window is limited to 8 Hours. Which means that we need to run jobs concurrently , and we need a general description of what39s going on with all those 60K job flows and take further actions. We have tried Kettle and Talend , Talend is a IDE-Based so not what we are looking for, and Kettle was crashed due to the Mysql cannot handle the Kettle39s metadata with 10K jobs.So we want to use Nifi , this is really the product that we are looking for , but the missing piece here is a DataFlow jobs Admin Page. so we can have multiple Nifi instances running on different nodes, but monitoring the jobs in one page. If it can intergrate with Ambari metrics API, then we can develop an Ambari View for Nifi Jobs Monitoring just like HDFS View and Hive View. Thank you very much Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 06/03/2016邮件原文发件人：Aldrin Piri <aldrinp...@gmail.com>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-11 02:27:11主题：Re: Mutiple dataflow jobs management(lots of jobs)Hi Yan, We can get more into details an
Re:Re: Multiple dataflow jobs management(lots of jobs)
Hi Aldrinsome additional information.it39s a typical ETL offloading user case each extraction job should foucs on 1 table and 1 table only. data will be written on HDFS , this is similar to Database Staging. The reason why we need to foucs on 1 table for each job is because there might be database error or disconnection occur during the extraction , if it39s running as a script like extraction job with expression langurage, then it39s hard to do the re-running or excape thing on that table or tables.once the extraction is done, a triger like action will do the data cleansing. this is similar to ODS layer of Datawarehousingif the data quality has passed the quality check , then it will be marked as cleaned. otherwise , it will return to previous step and redo the data extraction, or send alert/email to the system administrator.if certain numbers of tables were all cleaned and checked , then it will call some Transforming processor to do the transforming ， then push the data into a datawarehouse (Hive in our case)Thank you very much Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 13/03/2016邮件原文发件人："刘岩" <liu...@richinfo.cn>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-13 00:12:27主题：Re:Re: Multiple dataflow jobs management(lots of jobs)Hi AldrinCurrently we need to extract 60K tables per day , and the time window is limited to 8 Hours. Which means that we need to run jobs concurrently , and we need a general description of what39s going on with all those 60K job flows and take further actions. We have tried Kettle and Talend , Talend is a IDE-Based so not what we are looking for, and Kettle was crashed due to the Mysql cannot handle the Kettle39s metadata with 10K jobs.So we want to use Nifi , this is really the product that we are looking for , but the missing piece here is a DataFlow jobs Admin Page. so we can have multiple Nifi instances running on different nodes, but monitoring the jobs in one page. If it can intergrate with Ambari metrics API, then we can develop an Ambari View for Nifi Jobs Monitoring just like HDFS View and Hive View. Thank you very much Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 06/03/2016邮件原文发件人：Aldrin Piri <aldrinp...@gmail.com>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-11 02:27:11主题：Re: Mutiple dataflow jobs management(lots of jobs)Hi Yan, We can get more into details and particulars if needed, but have you experimented with expression language? I could see a Cron driven approach which covers your periodic efforts that feeds some number of ExecuteSQL processors (perhaps one for each database you are communicating with) each having a table. This would certainly cut down on the need for the 30k processors on a one-to-one basis with a given processor. In terms of monitoring the dataflows, could you describe what else you are searching for beyond the graph view? NiFi tries to provide context for the flow of data but is not trying to be a sole monitoring, we can give information on a processor basis, but do not delve into specifics. There is a summary view for the overall flow where you can monitor stats about the components and connections in the system. We support interoperation with monitoring systems via push (ReportingTask) and pull (REST API [2]) semantics. Any other details beyond your list of how this all interoperates might shed some more light on what you are trying to accomplish. It seems like NiFi should be able to help with this. With some additional information we may be able to provide further guidance or at least get some insights on use cases we could look to improve upon and extend NiFi to support. Thanks! [1] http://nifi.apache.org/docs/nifi-docs/html/expression-language-guide.html [2] http://nifi.apache.org/docs/nifi-docs/html/developer-guide.html#reporting-tasks [3] http://nifi.apache.org/docs/nifi-docs/rest-api/index.html On Sat, Mar 5, 2016 at 9:25 PM, 刘岩 <liu...@richinfo.cn> wrote:Hi All i39m trying to adapt Nifi to production but can not find an admin console which monitoring the dataflows The scenarios is simple, 1. we gather data from oracle database to hdfs and then to hive. 2. residules/incrementals are updated daily or monthly via Nifi. 3. full dump on some table are excuted daily or monthly via Nifi. is it really simple , however , we have 7 oracle databases with over 30K tables needs to implement the above scenario. which means that i will drag that ExcuteSQL elements for like 30K time or so and also need to place them with a nice looking way on my little 21 inch screen . Just wondering if there is a table list like ,groupable and searchable task control and monitoring feature for Nifi Thank you very much in advance Yan Liu
Re:Re: Multiple dataflow jobs management(lots of jobs)
Hi AldrinCurrently we need to extract 60K tables per day , and the time window is limited to 8 Hours. Which means that we need to run jobs concurrently , and we need a general description of what39s going on with all those 60K job flows and take further actions. We have tried Kettle and Talend , Talend is a IDE-Based so not what we are looking for, and Kettle was crashed due to the Mysql cannot handle the Kettle39s metadata with 10K jobs.So we want to use Nifi , this is really the product that we are looking for , but the missing piece here is a DataFlow jobs Admin Page. so we can have multiple Nifi instances running on different nodes, but monitoring the jobs in one page. If it can intergrate with Ambari metrics API, then we can develop an Ambari View for Nifi Jobs Monitoring just like HDFS View and Hive View. Thank you very much Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 06/03/2016邮件原文发件人：Aldrin Piri <aldrinp...@gmail.com>收件人：users <us...@nifi.apache.org>抄 送: dev <dev@nifi.apache.org>发送时间：2016-03-11 02:27:11主题：Re: Mutiple dataflow jobs management(lots of jobs)Hi Yan, We can get more into details and particulars if needed, but have you experimented with expression language? I could see a Cron driven approach which covers your periodic efforts that feeds some number of ExecuteSQL processors (perhaps one for each database you are communicating with) each having a table. This would certainly cut down on the need for the 30k processors on a one-to-one basis with a given processor. In terms of monitoring the dataflows, could you describe what else you are searching for beyond the graph view? NiFi tries to provide context for the flow of data but is not trying to be a sole monitoring, we can give information on a processor basis, but do not delve into specifics. There is a summary view for the overall flow where you can monitor stats about the components and connections in the system. We support interoperation with monitoring systems via push (ReportingTask) and pull (REST API [2]) semantics. Any other details beyond your list of how this all interoperates might shed some more light on what you are trying to accomplish. It seems like NiFi should be able to help with this. With some additional information we may be able to provide further guidance or at least get some insights on use cases we could look to improve upon and extend NiFi to support. Thanks! [1] http://nifi.apache.org/docs/nifi-docs/html/expression-language-guide.html [2] http://nifi.apache.org/docs/nifi-docs/html/developer-guide.html#reporting-tasks [3] http://nifi.apache.org/docs/nifi-docs/rest-api/index.html On Sat, Mar 5, 2016 at 9:25 PM, 刘岩 <liu...@richinfo.cn> wrote:Hi All i39m trying to adapt Nifi to production but can not find an admin console which monitoring the dataflows The scenarios is simple, 1. we gather data from oracle database to hdfs and then to hive. 2. residules/incrementals are updated daily or monthly via Nifi. 3. full dump on some table are excuted daily or monthly via Nifi. is it really simple , however , we have 7 oracle databases with over 30K tables needs to implement the above scenario. which means that i will drag that ExcuteSQL elements for like 30K time or so and also need to place them with a nice looking way on my little 21 inch screen . Just wondering if there is a table list like ,groupable and searchable task control and monitoring feature for Nifi Thank you very much in advance Yan Liu Hortonworks Service Division Richinfo, Shenzhen, China (PR) 06/03/2016
