[jira] [Commented] (SPARK-19661) Spark-2.1.0 can not connect hbase

2017-02-21 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15877441#comment-15877441 ] sydt commented on SPARK-19661: -- Yeah,you are right.It is accomplished by hive-hbase-handler-0.13.1.jar

[jira] [Comment Edited] (SPARK-19661) Spark-2.1.0 can not connect hbase

2017-02-21 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15877441#comment-15877441 ] sydt edited comment on SPARK-19661 at 2/22/17 4:18 AM: --- Yeah,you are right.It is

[jira] [Created] (SPARK-19661) Spark-2.1.0 can not connect hbase

2017-02-19 Thread sydt (JIRA)
sydt created SPARK-19661: Summary: Spark-2.1.0 can not connect hbase Key: SPARK-19661 URL: https://issues.apache.org/jira/browse/SPARK-19661 Project: Spark Issue Type: Bug Components:

[jira] [Updated] (SPARK-19661) Spark-2.1.0 can not connect hbase

2017-02-19 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19661?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-19661: - Description: When spark-sql of spark-2.1.0 connect hbase by CREATE EXTERNAL TABLE lxw123( rowkey string, f1

[jira] [Commented] (SPARK-19661) Spark-2.1.0 can not connect hbase

2017-02-19 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19661?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15874110#comment-15874110 ] sydt commented on SPARK-19661: -- sparksql of spark-1.6.2 can connect hbase by these and works well. I get

[jira] [Created] (SPARK-20306) beeline connect spark thrift server failure

2017-04-12 Thread sydt (JIRA)
sydt created SPARK-20306: Summary: beeline connect spark thrift server failure Key: SPARK-20306 URL: https://issues.apache.org/jira/browse/SPARK-20306 Project: Spark Issue Type: Bug

[jira] [Updated] (SPARK-20306) beeline connect spark thrift server failure

2017-04-12 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-20306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-20306: - Description: Beeline connect spark thrift server of spark-1.6.2 with kerberos failure and error is : ERROR

[jira] [Updated] (SPARK-20306) beeline connect spark thrift server failure

2017-04-12 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-20306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-20306: - Description: Beeline connect spark thrift server of spark-1.6.2 with kerberos failure and error is : Error

[jira] [Closed] (SPARK-20306) beeline connect spark thrift server failure

2017-04-12 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-20306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt closed SPARK-20306. Resolution: Fixed > beeline connect spark thrift server failure > >

[jira] [Commented] (SPARK-19935) SparkSQL unsupports to create a hive table which is mapped for HBase table

2017-04-07 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19935?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15960682#comment-15960682 ] sydt commented on SPARK-19935: -- Have you resolve this problem about create table in sparksql for hbase table

[jira] [Comment Edited] (SPARK-19811) sparksql 2.1 can not prune hive partition

2017-03-03 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15895346#comment-15895346 ] sydt edited comment on SPARK-19811 at 3/4/17 1:04 AM: -- this is not a problem because

[jira] [Commented] (SPARK-19811) sparksql 2.1 can not prune hive partition

2017-03-03 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19811?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15895346#comment-15895346 ] sydt commented on SPARK-19811: -- this is not a problem because it can be resolved by change partition

[jira] [Created] (SPARK-19811) sparksql 2.1 can not prune hive partition

2017-03-03 Thread sydt (JIRA)
sydt created SPARK-19811: Summary: sparksql 2.1 can not prune hive partition Key: SPARK-19811 URL: https://issues.apache.org/jira/browse/SPARK-19811 Project: Spark Issue Type: Bug

[jira] [Commented] (SPARK-19109) ORC metadata section can sometimes exceed protobuf message size limit

2017-08-09 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119546#comment-16119546 ] sydt commented on SPARK-19109: -- I meet this problem and resolved .I re-complie source code of

[jira] [Commented] (SPARK-19019) PySpark does not work with Python 3.6.0

2017-08-09 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19019?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119553#comment-16119553 ] sydt commented on SPARK-19019: -- I meet this problem and resolved .I re-complie source code of

[jira] [Commented] (SPARK-20901) Feature parity for ORC with Parquet

2017-08-09 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-20901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119552#comment-16119552 ] sydt commented on SPARK-20901: -- about SPARK-19019,I resolved it I meet this problem and resolved .I

[jira] [Issue Comment Deleted] (SPARK-19019) PySpark does not work with Python 3.6.0

2017-08-09 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19019?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-19019: - Comment: was deleted (was: I meet this problem and resolved .I re-complie source code of

[jira] [Comment Edited] (SPARK-19109) ORC metadata section can sometimes exceed protobuf message size limit

2017-08-09 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16119546#comment-16119546 ] sydt edited comment on SPARK-19109 at 8/9/17 8:05 AM: -- I meet this problem and

[jira] [Commented] (SPARK-19109) ORC metadata section can sometimes exceed protobuf message size limit

2017-08-21 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19109?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16136154#comment-16136154 ] sydt commented on SPARK-19109: -- Thanks for your reply. I have compiled hive-exec-1.2.1-spark2.jar and it is

[jira] [Updated] (SPARK-19109) ORC metadata section can sometimes exceed protobuf message size limit

2017-08-21 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-19109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-19109: - Attachment: InsertPic_.png hi, I meet this problem and resolved by recompile source code of

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Attachment: screenshot-1.png > Spark thrift server can not impersonate user in kerberos >

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server

[jira] [Created] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
sydt created SPARK-22506: Summary: Spark thrift server can not impersonate user in kerberos Key: SPARK-22506 URL: https://issues.apache.org/jira/browse/SPARK-22506 Project: Spark Issue Type:

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server

[jira] [Commented] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16249422#comment-16249422 ] sydt commented on SPARK-22506: -- >From logs, executors does not have permission to access hdfs file which

[jira] [Updated] (SPARK-22506) Spark thrift server can not impersonate user in kerberos

2017-11-13 Thread sydt (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-22506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] sydt updated SPARK-22506: - Description: Spark thrift server can not impersonate user in kerberos environment. I launch spark thrift server