While looking into problems, we might ask you to send log files, especially the one from Scheduler when looking into scheduling issue. Here is how to locate log files.
docker ps
. and find
container ID of scheduler, with IMAGE name that starts with “scheduler”
and COMMAND “./start.sh”. In the case of following screenshot,
b8801cd93acf is the first 10 characters of the scheduler container
ID./var/lib/docker/containers/<Scheduler Container ID>/<Scheduler Container ID>-json.log
If you are an Admin user, you can click the “Admin” menu on the top right corner to open the Admin page. You can select the “Schedules” menu in the Admin page to check status of scheduled jobs.
For Username/password to authenticate, use the email and password for your account on Exploratory Server.
You got error message similar to the following, when you try to start
Exploratory Server with docker-compose up -d
command.
Most likely this is because docker images for Exploratory Server is not properly loaded. The popular root cause is an insufficient disk space. Please make sure that you have enough disk space and run the following command in the Installation Guide again.
When trying to start the Exploratory Server using the
docker-compose up -d
command, you may encounter an error
such as:
These errors typically occur when the Docker service is not running on your Linux system. Please refer to this community post to learn how to start the Docker service. Once Docker is running, try starting the Exploratory Server again.
You got error message similar to the following, when you try to start
Exploratory Server with docker-compose up -d
command.
Your docker service might be in a problematic state. Try restarting docker service with the following command.
You tried to start Exploratory Server with the
docker-compose up -d
command, but it doesn’t become
accessible from a browser, and you see an error message similar to the
following in the log.
Your docker service might be in a problematic state. Try restarting docker service with the following command.
Running the docker-compose up -d
command may fail if the
system does not have enough disk space.
Delete unnecessary files on your system to free up disk space. If you have upgraded the Exploratory Server before, you can save disk space by deleting unnecessary Exploratory Server Docker images.
A screen that tell the trial period has ended, even though you have set up a still valid license key.
A license key has an IP address or a hostname in it, like the following examples.
Example of a license key 1 (With an IP address) :
Example of a license key 2 (With a hostname) :
They need to correspond with the IP address or hostname in the URL you type in to the web browser. If you need to access the Exploratory Server with an IP address or hostname that is different from what is in the license key, please contact support.
The browser accessing the Exploratory Server cannot load and display anything.
This usually means some network problem between your browser and the Collaboration server.
Many possible reasons could cause it, but one of them is that the IP addresses the Docker assigns to the Docker Containers of the Exploratory Server conflict with something else. You can control the range of IP addresses (subnet) the Docker assigns by adding the following additional configuration to the docker-compose.yml. In the following example, the Docker will assign the IP addresses ranging from 192.168.100.0 to 192.168.100.255.
When you search the insight, you see the error “Failed to Fetch the Data. Please Reload and Try Again.” even after reloading the page.
It can happen if the database doesn’t have enough indexes. You can create indexes to solve the problem.
docker ps
and find container ID with IMAGE name that starts with “mongo”. In the
case of following screenshot, 494388a45e11
is the container
ID.db.notebooks.createIndex({"updatedAt" : -1})
db.notebooks.createIndex({"numlikes" : -1})
db.notebooks.createIndex({"views" : -1})
db.notebooks.createIndex({"downloads" : -1})
db.notebooks.createIndex({"viewStats.last7Days" : -1})
db.notebooks.createIndex({"viewStats.thisWeek" : -1})
db.notebooks.createIndex({"viewStats.lastWeek" : -1})
db.notebooks.createIndex({"viewStats.lastMonth" : -1})
db.notebooks.createIndex({"viewStats.last30Days" : -1})
db.notebooks.createIndex({"viewStats.last365Days" : -1})
db.notebooks.createIndex({"viewStats.thisYear" : -1})
db.notebooks.createIndex({"viewStats.lastYear" : -1})
db.notebooks.createIndex({"viewStats.allTime" : -1})
db.notebooks.createIndex({"viewStats.thisMonth" : -1})
You may see an error like
Error in download.file("http://....
when you start the
Interactive Mode or Show Details session on an insight that used to work
before. It happens when the internal temporary directory becomes
full.
You can assign a volume to /tmp
folder instead of using
the tmpfs
to fix the problem. Here is how.
docker-compose.yml
in the Exploratory Server
installation folder.rserve
section.volumes
section (2 lines) at the same level
where tmpfs
is.tmpfs
section (usually 3 lines)
by adding “#” sign at the beginning of each line.The example of the rserve
section after the fix is the
following.
rserve:
image: r-exploratory:7.0.9
#tmpfs:
# # exec is necessary to run prophet successfully.
# - /tmp:exec tmpfs:
volumes:
- ./tmp:/tmp
Once the change is done, restart the server to make the change effective.
If you are getting an error like
Processing might have failed due to the large data size.
when you try to update the parameter of the published content even if
you have enough memory on the server, this could be because the
Exploratory Server doesn’t have enough memory allocation.
You can increase the memory allocation of the Exploratory Server to solve the problem. Please see the note for details.
If all pooled R connections are in use, starting Interactive Mode can take a long time. This often happens when there are many users accessing Interactive Mode simultaneously.
You can increase the max pool size of the R connections. Here is how.
docker-compose.yml
in the Exploratory Server
installation folder.environment
section under the
exploratory
section.EXPL_RSERVE_POOL_MAX_SIZE
with a higher value. The
default size is 5, but you can try increasing it to 20 or 30, depending
on your system specifications.The config file example is following.
Once the change is done, restart the server to make the change effective.
This error will be displayed if you access to your Exploratory Server (Hosted or On-Premise) and the OAuth configuration on the Exploratory server is not completed.
Date of Dashboard, etc. is still old after data refresh has run.
Please check that the clock of your server is not out of sync.
If the problem seems to be happening because of other causes, please contact support.
After refreshing data, the content of the Data tab disappears like the following screenshot.
We have seen a case where the owner of some of the sub-directories of the rdata directory under the exploratory directory, which is created by expanding the distribution file, was wrongly set to root, like the directory surrounded by the red line in the example screenshot below. It was breaking flow of data within Exploratory Server, which resulted in this problem.
This can be fixed by deleting the directory with the wrong owner.
Please be careful not to delete a wrong directory or file while you try this operation. If you are not sure, please contact support.
Scheduling fails If you use the Exploratory Server version 7.0 (and above) and schedule an insight including Pivot Table or Summarize Table created on the desktop version 6.12 or earlier.
It happens because of the R version incompatibility. You can fix it by republishing the insight from the Exploratory Desktop 7.0 or above.
If the scheduling fails with an error like
Processing might have failed due to the large data size.
even if you have enough memory on the server, this could be because the
R engine doesn’t have enough memory allocation.
You can increase the memory allocation of the Exploratory Server to solve the problem. Please see the note for details.
If you schedule an insight that takes a long time to refresh, it
fails with the error
Error in curl::curl_fetch_memory(url, handle = handle) : Timeout was reached: [webdav] Operation timed out after 30001 milliseconds
.
If you are using version 7.0 and above, You can increase the timeout
by setting a longer timeout with the EXPL_HTTP_TIMEOUT
parameter in the docker-compose.yml
configuration file. You
can specify the timeout duration in seconds. For
example, if you want to set it to 1 hour, you can set 3600
.
Here is how.
docker-compose.yml
in the Exploratory Server
installation folder.rserve
section.- EXPL_HTTP_TIMEOUT=3600
line under the
environment
sub-section of the rserve
section.
If environment
doesn’t exist, add it too.The example of the rserve
section after adding the
parameter is the following.
rserve:
image: r-exploratory:7.0.9
tmpfs:
# exec is necessary to run prophet successfully.
- /tmp:exec
environment:
- EXPL_HTTP_TIMEOUT=3600
Once the change is done, restart the server to make the change effective.
If it doesn’t solve the problem, please contact support.
Scheduling an insight fails with the error
"cannot popen '/usr/bin/which 'uname' 2>/dev/null', probable reason 'Cannot allocate memory'"
.
It typically happens right after installing a new server or upgrading
the server.
You can add a parameter privileged: true
under the
rserve
section in the docker-compose.yml
config file. Here is how.
docker-compose.yml
in the Exploratory Server
installation folder.rserve
section.privileged: true
line under the
rserve
section.The example of the rserve
section after adding the
parameter is the following.
rserve:
image: r-exploratory:7.0.9
tmpfs:
# exec is necessary to run prophet successfully.
- /tmp:exec
privileged: true
Once the change is done, restart the server to make the change effective.
If it doesn’t solve the problem, please contact support.
If you are getting an error like
Processing might have failed due to the large data size.
when you schedule the published content even if you have enough memory
on the server, this could be because the Exploratory Server doesn’t have
enough memory allocation.
You can increase the memory allocation of the Exploratory Server to solve the problem. Please see the note for details.
If you can re-import data on Exploratory Desktop but encounter errors when scheduling on the server, it might be because the database being used as the data source does not allow requests from the Exploratory server.
You can resolve this issue by whitelisting the IP address of the Exploratory server in your database. For more details, please refer to this guide.
You got error that looks like following, when you try to shut down
Exploratory Server with docker-compose down
.
This should give output like following.
[
{
"Name": "exploratory_default",
...
"Containers": {
"014cbe0146...": {
"Name": "exploratory_exploratory_1",
...
},
"494388a45e...": {
"Name": "exploratory2_mongodb_1",
...
},
...
},
...
}
]
The parts like “014cbe0146…” ae IDs of containers. We need them at the next step.
With the container IDs from the previous step, run the following command to remove containers.
Or if the above does not work, run the following.
Repeat it for each container attached to the erroring network.
docker-compose down
.You modified administrator account info, such as email address, in docker-compose.yml or exploratory_config.yml. But after restarting the Exploratory Server, the change does not seem to be taking effect.
The admin account info in docker-compose.yml or exploratory_config.yml is only used for the initial account creation at the installation of Exploratory Server, and changes made on it is ignored after the installation is once done.
To modify admin account info after the installation, login to the admin account from a browser, and update the info at the “Account Settings” page.
When you login to Exploratory Public, Exploratory Public records where it connected to (exploratory.io) in the repository of Exploratory. From then on, when you open the Exploratory Desktop to connect to the Exploratory Server, it reads these saved information from the Repository and it tries to connect to exploratory.io, which results in the showing of Error Dialog, because users with Public Plan are not allowed to use Exploratory Desktop.
To connect to the Exploratory Server, click the “Change Server to Connect” button on the Error Dialog.
This will open up the Login screen like below. Change the Server Type to “Exploratory Server” and enter the URL of the Exploratory Server, email address, and password, and click the Login button to connect to the Exploratory Server.
I usually use Exploratory Desktop connecting to our Exploratory Server, but when I try to switch the server to exploratory.io, I get an authentication error.
An account on exploratory.io is a different, separate account from the account on your Exploratory Server. You need to have an account on exploratory.io to use Exploratory Desktop while connecting to exploratory.io.
If you are an “Author” user of your Exploratory Server, we can add a license for the same period as your Exploratory Server to your exploratory.io account. Please contact support for adding the license to your exploratory.io account.
When publishing Insight, such as Data, Chart, or Dashboard, from Exploratory Desktop to Exploratory Server, especially when dealing with larger data, error message that looks like the following is displayed.
This error happens when Nginx web server, which receives request from Exploratory Desktop and pass it to the backend, determines that the response from backend is taking too much time, and times out.
By default, the timeout is 60 seconds, but it can be configured to a longer time to avoid the error.
The default.conf file under the exploratory directory is the configuration file for Nginx. You can configure the timeout by adding proxy_read_timeout parameter in the “location” section under the “server” section, like the following example.
In the following example, the timeout is set to 600 seconds.
Example of default.conf file content
Publishing insights may fail if the system does not have enough disk space.
Delete unnecessary files on your system to free up disk space. If you have upgraded the Exploratory Server before, you can save disk space by deleting unnecessary Exploratory Server Docker images.
If you restart the Exploratory Server, the system cleans up your old log files by default.
You can customize the logging destination by updating the configuration file to make logs persistent. You can take a look at this note for details.
It is hard to know when and who created, accessed or updated insights, users, and teams from the HTTP access log.
From version 8.0 of the Exploratory Server, you can find the insight, user and team events in the log file. Please see note for details.