[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[
https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Biju Nair updated HBASE-10827:
--
Resolution: Incomplete
Status: Resolved (was: Patch Available)
Resolving the issue as {{incomplete}}. Please re-open this issue if required.
At this time {{bonding}} would be the option users can use to utilize multiple
network cards with HBase.
> Making HBase use multiple ethernet cards will improve the performance
> -
>
> Key: HBASE-10827
> URL: https://issues.apache.org/jira/browse/HBASE-10827
> Project: HBase
> Issue Type: New Feature
>Affects Versions: 0.99.0
>Reporter: zhaojianbo
>Assignee: zhaojianbo
>Priority: Major
> Attachments: HBASE-10827-0.98-branch.patch
>
>
> In our online cluster, usually there are multiple ethernet cards in one
> machine, one for outer network, one for inner network. But the current
> version of HBase can not use all of them which waste the network bandwidth of
> one ethernet card. If we make HBase use multiple ethernet cards concurrently,
> the performance of HBase will be improved.
> So I did the work, and test a simple scenario:
> 8 clients scan the same region data from a different machine with two
> ethernet cards.(machine of regionserver also with two ethernet cards)
> The Environment is:
> * I start HBase cluster with a master, a regionserver, a zookeeper in a
> machine.
> * HDFS cluster with a Namenode, a datanode, a secondary namenode is also
> started in the same machine.
> * 8 client run on different machine.
> * all data local
> * 22GB data size
> I measure the performance before and after the optimization.
> The results are:
> ||client||time before optimization||time after optimization||
> | 8 | 1665.07s | 1242.45s |
> The patch is uploaded. What I did is the following:
> # create new RPC getAllServerAddress which obtain all the addresses of
> regionserver
> # client call the RPC to obtain the addresses, choose one of them randomly,
> validate the address and use the address as the regionLocation address
> # add a cache serverAddressMap to avoid redundant RPC.
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[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] haosdent updated HBASE-10827: - Status: Patch Available (was: Open) Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Assignee: zhaojianbo Attachments: HBASE-10827-0.98-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1665.07s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Attachment: HBASE-10827-0.99-branch.patch Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.99-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Attachment: HBASE-10827-0.99-branch.patch Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.99-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Attachment: (was: HBASE-10827-0.99-branch.patch) Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.99-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Attachment: HBASE-10827-0.98-branch.patch Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.98-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Attachment: (was: HBASE-10827-0.99-branch.patch) Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.98-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Description: In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1702.03s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. was: In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1628.11s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.98-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1702.03s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (HBASE-10827) Making HBase use multiple ethernet cards will improve the performance
[ https://issues.apache.org/jira/browse/HBASE-10827?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] zhaojianbo updated HBASE-10827: --- Description: In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1665.07s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. was: In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1702.03s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. Making HBase use multiple ethernet cards will improve the performance - Key: HBASE-10827 URL: https://issues.apache.org/jira/browse/HBASE-10827 Project: HBase Issue Type: New Feature Affects Versions: 0.99.0 Reporter: zhaojianbo Attachments: HBASE-10827-0.98-branch.patch In our online cluster, usually there are multiple ethernet cards in one machine, one for outer network, one for inner network. But the current version of HBase can not use all of them which waste the network bandwidth of one ethernet card. If we make HBase use multiple ethernet cards concurrently, the performance of HBase will be improved. So I did the work, and test a simple scenario: 8 clients scan the same region data from a different machine with two ethernet cards.(machine of regionserver also with two ethernet cards) The Environment is: * I start HBase cluster with a master, a regionserver, a zookeeper in a machine. * HDFS cluster with a Namenode, a datanode, a secondary namenode is also started in the same machine. * 8 client run on different machine. * all data local * 22GB data size I measure the performance before and after the optimization. The results are: ||client||time before optimization||time after optimization|| | 8 | 1665.07s | 1242.45s | The patch is uploaded. What I did is the following: # create new RPC getAllServerAddress which obtain all the addresses of regionserver # client call the RPC to obtain the addresses, choose one of them randomly, validate the address and use the address as the regionLocation address # add a cache serverAddressMap to avoid redundant RPC. -- This message was sent by Atlassian JIRA (v6.2#6252)
