Member since
07-07-2020
63
Posts
4
Kudos Received
4
Solutions
My Accepted Solutions
Title | Views | Posted |
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342 | 06-13-2022 10:24 PM | |
1238 | 06-09-2022 09:56 PM | |
533 | 10-12-2021 07:13 AM | |
904 | 09-22-2021 10:54 PM |
03-22-2023
03:49 AM
Thanks for Help , Issue is resolved After restarting Impala from Ui. Status tab in CDP (impala -> status) it show Impala Connection String Example shows command to connect : i.e Impala Shell Command mpala-shell -i mprl510 -d default . i am successfully login into my impala shell
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11-15-2022
10:31 PM
This is not the essence of the problem, what the question actually wants to ask is the problem of inserting data with Impala JDBC, Chinese strings being truncated and garbled.
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07-19-2022
11:09 PM
Thanks @COE for the response. Normally Oozie workflows/schedules would appear as entries under the "Hue > Documents" section, but only if the logging account was part of the sharing permissions (Read/Write). However, the subjected documents are not listed and can't be exported as suggested. The only place where we can see them is under "Hue > Job Browser > Schedules > Running" but we can't either see the actual document or do any action (Resume, Suspend, Kill … etc.)
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07-14-2022
07:33 AM
1 Kudo
Hi Vidya , Issue has been resolved by setting path : export PATH=/opt/cloudera/parcels/CDH-5.15.1-1.cdh5.15.1.p0.4/bin:/usr/bin/python2:/usr/local/bin:/usr/bin:/usr/local/sbin:/usr/sbin:/opt/anaconda3/bin:/opt/anaconda3/condabin
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06-16-2022
12:11 AM
@Priyanshu999 Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.
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06-10-2022
12:36 AM
I'm sure my source code file has UTF-8 encoding and I compiling the class by maven. When my SQL is set to : upsert into user_info(id, name, address, email, insert_time) values (?,cast(? as string),cast(? as string),?,?) it's works, but the url parameter “UseNativeQuery=1” does't works!
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11-30-2021
10:46 PM
@npr73, have any of the replies helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.
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10-28-2021
05:23 AM
@pauljoshiva, Has the reply helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.
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10-25-2021
01:31 PM
1 Kudo
@hxn Could you enter the password here instead of the the path to keystore pass file? > SSLKeyStorePwd=/var/lib/cloudera-scm-agent/agent-cert/cm-auto-host_key.pw
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10-14-2021
03:46 AM
No, that's not working for me. I already mentioned the error in question. https://git-wip-us.apache.org/repos/asf?p=sqoop.git;a=blob;f=src/docs/user/hcatalog.txt;h=96a90f75ca7e6e3ee9e0e086759ed6a8cde0d44b;hb=be260e3096a6a2710e661c7fe33f6b402ce66476 in reference to above link, can you please tell me why --hcatalog-external-table is not working?? The workaround is good, but I have many tables to move and it may not be easy for me to do the table creation manually.
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10-14-2021
02:02 AM
Hi @COE , Thank you for the confirmation . Yes. I mentioned one of the working drop partition query in the post. We were in situation to use the functions inside drop partition clause . We will adopt the 14days calculation in script and pass the value to DROP partition statement.
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10-12-2021
07:13 AM
1 Kudo
Hello, There is no such way to kill the query in one go. You need to either do it by one of the following methods:- You can kill the query from the Impala Daemon web UI of the Impala Daemon coordinating the query. or you can try killing from the browser. https://<query_coordinator_server_name>:25000/close_session?session_id=<session_id>
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10-10-2021
10:36 PM
@leonid, Has any of replies helped resolve your issue? If so, please mark the appropriate reply as the solution, as it will make it easier for others to find the answer in the future.
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10-04-2021
02:02 AM
@COE is cloudera planning to include this functionality anytime soon. If not, what other ways do we have to read tables from Impala using pyspark 2.3.
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09-23-2021
01:39 AM
Hello Can you try giving space between -- & import as it is a sub tool name. sqoop job --create job1 -- import --connect jdbc:oracle:thin:xxxxx --username xxxxx --password xxxxxxxx --as-parquetfile --target-dir /user/cdh/testgb/raw/adminunits --fields-terminated-by ',' --lines-terminated-by '\n' --table develop.adminunits --m 1 --hive-import --hive-database metdev_testgb --hive-table ADMINUNITS
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09-22-2021
10:54 PM
2 Kudos
1. For total memory configured you can check (impala daemon memory * a total number of demons ) , these values should be displayed on top of Impala admission control as well that this much if memory is allocated to the impala. 2. You can check other memory metrics from the cluster utilization report, please note that how much memory is consumed per pool feature is not currently captured in impala metrics. a) Max Allocated Peak Allocation Time – The time when Impala reserved the maximum amount of memory for queries. Click the drop-down list next to the date and time and select View Impala Queries Running at the Time to see details about the queries. Max Allocated – The maximum memory that was reserved by Impala for executing queries. If the percentage is high, consider increasing the number of hosts in the cluster. Utilized at the Time – The amount of memory used by Impala for running queries at the time when maximum memory was reserved. Click View Time Series Chart to view a chart of peak memory allocations. Histogram of Allocated Memory at Peak Allocation Time – Distribution of memory reserved per Impala daemon for executing queries at the time Impala reserved the maximum memory. If some Impala daemons have reserved memory close to the configured limit, consider adding more physical memory to the hosts. b) Max Utilized Peak Usage Time – The time when Impala used the maximum amount of memory for queries. Click the drop-down list next to the date and time and select View Impala Queries Running at the Time to see details about the queries. Max Utilized – The maximum memory that was used by Impala for executing queries. If the percentage is high, consider increasing the number of hosts in the cluster. Reserved at the Time – The amount of memory reserved by Impala at the time when it was using the maximum memory for executing queries. Click View Time Series Chart to view a chart of peak memory utilization. Histogram of Utilized Memory at Peak Usage Time – Distribution of memory used per Impala daemon for executing queries at the time Impala used the maximum memory. If some Impala daemons are using memory close to the configured limit, consider adding more physical memory to the hosts. [1] https://docs.cloudera.com/documentation/enterprise/6/6.3/topics/admin_cluster_util_custom.html#concept_jp4_4bh_hx [2] https://docs.cloudera.com/documentation/enterprise/6/6.3/topics/cm_metrics_impala_daemon.html [3] https://docs.cloudera.com/documentation/enterprise/6/6.3/topics/cm_metrics_impala_daemon_resource_pool.html
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