pacemaker | scalable High-Availability cluster resource manager | Machine Learning library
kandi X-RAY | pacemaker Summary
kandi X-RAY | pacemaker Summary
Pacemaker is an advanced, scalable High-Availability cluster resource manager
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QUESTION
I am working on MongoDB HA. Don't want to go with the HA approach mentioned in mongo official docs due to resource limitation.
I have done the MySQL (Active-Active) HA with DRBD, corosync & pacemaker. I have done mongoDB HA (Active- Standby) with DRBD, corosync & pacemaker. I have tested it a small scale data. It's working fine.
I read that mongoDB with DRBD is not good approach & it can lead to data corruption.
Should i go with this approach ?? if not any other approach apart from official one ??
...ANSWER
Answered 2021-Jun-02 at 19:57If you're doing Active/Passive (Active/Standby) clustering, there is no difference between a MongoDB on DRBD vs. MongoDB on any other block device.
If you had multiple active MongoDB's accessing a dual-primary (Active/Active) DRBD device, that's where the potential for corruption would come in.
QUESTION
To be honest, I am not exactly sure what I am trying to do is technically called but will try to explain the best I can.
End_result:I would like a list and/or JSON of data that looks similar to this:
...ANSWER
Answered 2021-Apr-07 at 20:37There seems to be something broken:
- in your regular expression
- in the complexity you are bringing in your loop
With regex_findall
you can get a list of all the matches, so you don't need to have multiple regex_findall
.
The resulting list would actually be a list of list contains all the matches, then for each matches line, the fragments that you are capturing with the capturing groups of your regular expression.
So, given:
QUESTION
I changed the path from my mariaDB data files to /mnt/datosDRBD/mariaDB
...ANSWER
Answered 2021-Mar-31 at 11:08OK, I solved it, changing the resource in pacemaker.
QUESTION
I'm facing some strange RDQM behavior. We have 3 servers (node1: primary, node2, and node3: secondary). 4 QMs of 1G each, are created on the primary with a preferred location node1 and node2. Due to some problems (connection problems, I think), 1 QM is switched to primary on node3. The pacemaker indicates that node3 is its master and the other nodes are Slaves. I tried to restart node3 but as soon as it is accessible, the QM switches back to node3.
I tried with difficulty to reproduce the problem with other QM but it's impossible. What do you think is the origin of the problem?
...ANSWER
Answered 2020-Aug-18 at 05:45There are a number of possible causes for a high availability queue manager to not run on the node you may expect it to, a common cause is failed resource actions. If you run the crm status
command, you may see a "Failed Resource Actions" section which may detail a failed resource action preventing the queue manager from running on its preferred node.
The rest of my answer assumes that you did have a failed resource action (i.e. you see a "Failed Resource Actions" section).
Reading the text surrounding it sometimes gives you a hint that you have an underlying issue that you need to fix. Sometimes you can find more clues about underlying issues from the syslog or dmesg
at the time of the failed action. If the failed resource action has an "exitreason", try searching for parts of the text in the syslog and dmesg
.
Once you have resolved any outstanding issues (if there were any), clear the failed resource action(s) by running crm resource cleanup RESOURCE
, replacing "RESOURCE" with the name of the resource that failed (e.g. 'p_fs_haqm1' or 'haqm1'. N.b. the failed resource action's name will be prefixed by the name of the resource). There may be multiple failed resources, so you will need to issue the command for each of them. Note, if the underlying issues weren't fixed, then the action may fail again, which will be seen by reissuing crm status
.
For more information visit https://www.ibm.com/support/knowledgecenter/SSFKSJ_latest/com.ibm.mq.tro.doc/q133450_.htm (remember to "Change version or product" to your MQ version) where you will find a section titled "Pacemaker scenario 2: An RDQM HA queue manager is not running where it should be", which goes into a lot more detail than my answer.
QUESTION
I have read the recommended answers none of which pertain to my subject.
A database about surgeries performed contains lots of tables and these lots of fields: table dat_patient
(patients, abbreviated "p") numbers about 100, and table dat_optherapie
(surgeries, abbreviated "op") about 1,000 fields. Here is a description of the fields I use for my query:
p.ID
is the autoincremental patient index which is correlated to op.patID
in the surgery table.
op.OP1OPVerfahren
contains the surgical procedure each of which can have 29 string values (from "1" to "28" and "99").
op.OP1Datum
contains the date of surgery.
op.revision
shows how many revisions of a given data set there are (important for tracking changes).
I now want to enumerate all different surgical procedures (29) performed in a table. Embedding the SQL query code into my PHP frame works fine:
Basic SQL query:
...ANSWER
Answered 2020-Jul-15 at 20:10OWN SOLUTION:
Of course, the above-mentioned agglomeration of one SUM(...)
after another does not work as this builds up an array of SQL query result sets in rows which do display the associated MIN, MAX and AVG duration for the type (not the sum!) of surgery performed but cannot be displayed without further ado using PHP.
The resulting SQL query code is like this:
QUESTION
Here is my problem: I'm trying to create a cluster of debian servers on which I could train my ANNs (language: Python, libraries: theano, Tensorflow, Keras).
So, I would like to have a master server on which the libraries are installed and on which I would just have to send my code and dataset. This server will then distribute all the calculations between 3 slave servers. I've heard about Pacemaker and Corosync, but all the articles I read talk about high availability, and not about shared computing. Do you have any ideas?
...ANSWER
Answered 2020-Apr-29 at 18:19For this case, I searched around and decided to use Apache Spark and Elephas, which works with Keras. For the moment my installation works under python 2.7 and java 8, after having had problems under java 11 of which I don't know the source. Another track could be to use Apache Spark and dist-keras, a library developed by CERN. But after analysis, this solution seems to me much more complex to implement. Being a bit of a beginner, my choice is therefore Elephas.
QUESTION
I have a variable in my dataframe called "Cardiac Comorbidity Types" with either NAs or a column delimited list of various cardiac comorbidity types. How can I make a column for each possible comorbidity, and then fill the observations in with 1/0 where 1=indicates the presense of a comorbidity and 0=no comorbidity.
...ANSWER
Answered 2020-Apr-06 at 23:15We can use a combination of unnest
and pivot_wider
from tidyr
.
QUESTION
I'm pulling in the data frame using tabula. Unfortunately, the data is arranged in rows as below. I need to take the first 23 rows and use them as column headers for the remainder of the data. I need each row to contain these 23 headers for each of about 60 clinics.
...ANSWER
Answered 2020-Mar-14 at 18:47Try this:
QUESTION
We hace a cluster two nodes with 2 resources, elastic-ip and nginx, and when we run crm_verify -LV
error: unpack_operation: Specifying on_fail=fence and stonith-enabled=false makes no sense
error: unpack_operation: Specifying on_fail=fence and stonith-enabled=false makes no senseErrors found during check: config not valid
root@ip-172-31-18-143:~#
The configuration:
...ANSWER
Answered 2020-Feb-21 at 10:00Modify your resources (elastic-ip and proxy) and remove the attribute on_fail=fence , or enable Stonith as a cluster property and configure fencing.
Basically you are instructing the resource to fence a node when it fails but you have Stonith disabled so fencing is not possible (so it makes no sense)
QUESTION
I am currently trying to implement a HA failover on AWS with 3 EC2 instances. Let's say these 3 machines' names are HA1, HA2 and HA3. HA1 has the Elastic IP and the other two has standart public IPs to establish SSH connection. I already followed these three resources in the list below:
- https://medium.com/@2infiniti/creating-highly-available-nodes-on-icon-stage-1-active-passive-failover-with-pacemaker-and-a9d56b1484da
- https://medium.com/@gt.anand1994/ha-cluster-with-elasticip-using-corosync-and-pacemaker-a013d288ae8
- https://www.howtoforge.com/tutorial/how-to-set-up-nginx-high-availability-with-pacemaker-corosync-and-crmsh-on-ubuntu-1604/#step-configure-corosync
There is no problem at all until I do crm status
because I can see the below output on the shell:
ANSWER
Answered 2019-Dec-23 at 10:12You must configure the Security Groups and ACL rules correctly.
Are there ping between instances?
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