[jira] [Resolved] (PHOENIX-4892) Unable to start load balancer with queryserver

2018-09-18 Thread Josh Elser (JIRA)
[ https://issues.apache.org/jira/browse/PHOENIX-4892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Josh Elser resolved PHOENIX-4892. - Resolution: Fixed Fix Version/s: 5.1.0 4.15.0 Thanks for the change,

[jira] [Updated] (PHOENIX-4909) Missing the phoenix-loadbalancer module dependency in phoenix-assembly/pom.xml

2018-09-18 Thread Vitaliy (JIRA)
[ https://issues.apache.org/jira/browse/PHOENIX-4909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Vitaliy updated PHOENIX-4909: - Description: Missing the phoenix-loadbalancer module dependency in phoenix-assembly/pom.xml. Also need

[jira] [Created] (PHOENIX-4909) Missing the phoenix-loadbalancer module dependency in phoenix-assembly/pom.xml

2018-09-18 Thread Vitaliy (JIRA)
Vitaliy created PHOENIX-4909: Summary: Missing the phoenix-loadbalancer module dependency in phoenix-assembly/pom.xml Key: PHOENIX-4909 URL: https://issues.apache.org/jira/browse/PHOENIX-4909 Project: Pho

[jira] [Updated] (PHOENIX-4008) UPDATE STATISTIC should collect all versions of cells

2018-09-18 Thread Bin Shi (JIRA)
[ https://issues.apache.org/jira/browse/PHOENIX-4008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Bin Shi updated PHOENIX-4008: - Description: In order to truly measure the size of data when calculating guide posts, UPDATE STATISTIC

[jira] [Resolved] (PHOENIX-4903) HashCache recreated on client for every RegionServer it is sent to

2018-09-18 Thread Josh Elser (JIRA)
[ https://issues.apache.org/jira/browse/PHOENIX-4903?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Josh Elser resolved PHOENIX-4903. - Resolution: Fixed Fix Version/s: 5.1.0 4.15.0 > HashCache recreated o

[jira] [Created] (PHOENIX-4908) [Apache Spark Plugin Doc] update save api when using spark dataframe

2018-09-18 Thread Sandeep Nemuri (JIRA)
Sandeep Nemuri created PHOENIX-4908: --- Summary: [Apache Spark Plugin Doc] update save api when using spark dataframe Key: PHOENIX-4908 URL: https://issues.apache.org/jira/browse/PHOENIX-4908 Project:

Re: [DISCUSS] Suggestions for Phoenix from HBaseCon Asia notes

2018-09-18 Thread Jaanai Zhang
> > I don't understand what performance issues you think exist based solely on > the above. Those numbers appear to be precisely in line with my > expectations. Can you please describe what issues you think exist? > 1. Performance of the thick client has almost 1~4 time higher than the thin client

Slow query on Secondary Index

2018-09-18 Thread Vishwajeet Rana
Hi, I have two salted global secondary indexes (A and B) on a table with row key (primary key) as the covered column. For both of them, the read single row latency is fine with less QPS, but as QPS increases from the client side, query on one of the indexes (A) becomes 10x slow, while the other (B