Member since
10-01-2018
802
Posts
140
Kudos Received
130
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
1752 | 04-15-2022 09:39 AM | |
1179 | 03-16-2022 06:22 AM | |
3780 | 03-02-2022 09:44 PM | |
1424 | 03-02-2022 08:40 PM | |
908 | 01-05-2022 07:01 AM |
04-07-2021
03:09 AM
@Vaibhavwa You can always use CDP Trial available. https://docs.cloudera.com/cdp-private-cloud/latest/release-guide/topics/cdpdc-trial-download-information.html
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04-06-2021
11:53 PM
1 Kudo
@tris This is due to your Hostname is not matching in Certificate in my opinion. Have you used IP address in Certificate? If yes please use FQDN and recreate certs.
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04-06-2021
11:29 PM
1 Kudo
@apeach You can download and use this driver if this works for you.
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04-06-2021
10:59 PM
@muslihuddin There might be network latency between nodes. You may want to enable Debug logging for Spark and then see the logs. Try using iperf, ping, etc. and see if there is low bandwidth and high latency between the edge node and the cluster.
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04-06-2021
10:54 PM
@emeric I am afraid that MondoDB is not supported and hardly will work with Cloudera as this is NoSQL DB while the Cloudera Manager and other CDH service which requires database is needs to be RDBMS. So you have to go with any RDBMS listed in the supported matrix. https://docs.cloudera.com/documentation/enterprise/6/release-notes/topics/rg_database_requirements.html
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04-06-2021
10:48 PM
@odgnet This seems and issue with VirtualBox version itself. Some users are already resolved this by downgrading the Virtual Box version. Please take a look of this solution if this helps. https://ahmedfattah.com/2020/07/27/vboxclient-could-not-find-symbol-address/
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04-06-2021
10:35 PM
@Vaibhavwa Please follow below Community threads. These are having pretty much all information you need with new paywall structure and download information of Cloudera software. https://community.cloudera.com/t5/Support-Questions/How-do-I-get-repository-credentials/m-p/311145#M224492 https://community.cloudera.com/t5/Support-Questions/https-archive-cloudera-com-cm6-6-2-0-ubuntu1604-displaying/m-p/311060#M224430 You can always use CDP Trial available. https://docs.cloudera.com/cdp-private-cloud/latest/release-guide/topics/cdpdc-trial-download-informa...
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04-06-2021
10:26 PM
@YingjieXie Did you mean you are able to download the Non-Chinese language files from CDSW? The error says file not found you may want to double check if the file really exist on the target. Check the Browser developer tools and see if you got some more information.
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03-31-2021
02:23 AM
@rhad84 The "unknown" statuses are normally when the agent could not collect monitoring data or the data had “unkonwn” status. Specifically when Agent attempted to collect network interface speed, the device didn't return any data or the data returned was “Unkonwn” at the time period of the alert. The collection is equivalen to the doing ethtool <device name> # Expected behaviour [root@nightly70x-1 ~]# ethtool eth0 Settings for eth0: Supported ports: [ ] Supported link modes: Not reported Supported pause frame use: No Supports auto-negotiation: No Supported FEC modes: Not reported Advertised link modes: Not reported Advertised pause frame use: No Advertised auto-negotiation: No Advertised FEC modes: Not reported Speed: 10000Mb/s <<<<<<<<<<<<<<<<<<<<<<<<<<<<< THIS Duplex: Full <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<< THIS Port: Twisted Pair PHYAD: 0 Transceiver: internal Auto-negotiation: off MDI-X: Unknown Link detected: yes Example of "Unknown" is : So you have to fix this at network level or you can suppress the Alerts if you think networking is good.
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03-24-2021
05:21 AM
@cr @PowerofAI You might have to make sue that Impala packages is installed and then import the UDF something like this may be: import pandas as pdfrom pyspark.sql.functions import pandas_udf, PandasUDFType
from pyspark.sql import Window
df = spark.createDataFrame(
[(1, 1.0), (1, 2.0), (2, 3.0), (2, 5.0), (2, 10.0)], ("id", "v"))
@pandas_udf("double", PandasUDFType.GROUPED_AGG)
def pandas_mean(v):
return v.sum()
df.select(pandas_mean(df['v'])).show()df.groupby("id").agg(pandas_mean(df['v'])).show()df.select(pandas_mean(df['v']).over(Window.partitionBy('id'))).show() Also we have to make sure that pip install ibis-framework pip install imapala is there that might causing the issue.
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