OmniSci writes to system logs and to OmniSci-specific logs. System log entries include OmniSci data-loading information, errors related to NVIDIA components, and other issues. For RHEL/CentOS, see
/var/log/messages; for Ubuntu, see
Most installation recipes use the
systemd installer for OmniSci, allowing consolidation of system-level logs. You can view the
systemd log entries associated with OmniSci using the following syntax in a terminal window:
journalctl -u omnisci_server
By default, OmniSci uses rotating logs with a symbolic link referencing the current OmniSci server instance. Logs rotate when the instance restarts. Logs also rotate once they reach 10MB in size. OmniSciDB keeps a maximum of 100 historical log files. These logs are located in the mapd_log directory, which is /var/lib/omnisci/data/mapd_log in a standard installation.
You can configure several of the logging behaviors described above using runtime flags. See Configuration Parameters.
This is the best source of information for troubleshooting, and the first place you should check for issues. Provides verbose logging of:
Configuration settings in place when
Queries by user and session ID, with execution time (time for query to run) and total time (execution time plus time spent waiting to execute plus network wait time).
Configuration settings in place when
I1004 14:11:28.799216 1009 MapDServer.cpp:784] OmniSci started with data directory at '/var/lib/omnisci/data'I1004 14:11:28.801699 1009 MapDServer.cpp:796] Watchdog is set to 1I1004 14:11:28.801708 1009 MapDServer.cpp:797] Dynamic Watchdog is set to 0
When you use the wrong delimiter, you might see errors like this:
E1004 20:12:00.929049 7496 Importer.cpp:1603] Incorrect Row (expected 21 columns, has 1): [JB141803,02/04/2018E1004 20:12:19.426657 7494 Importer.cpp:3148] Maximum rows rejected exceeded. Halting load
Reports nonfatal warning messages. For example:
W1229 09:13:50.888172 36427 RenderInterface.cpp:1155] The string "Other" doesnot have a valid id in the dictionary-encoded string column "card_class"(aliased by "color") for table cc_trans.
Logs non-fatal error messages, as well as errors related to data ingestion.
When the path in the
COPY command references an incorrect file or path.
E1001 16:27:55.522930 2009 MapDHandler.cpp:4147] Exception: fopen(/tmp/25882.csv): No such file or directory
When the table definition does not match the file referenced in the
E1001 16:30:58.710852 10436 Importer.cpp:1603] Incorrect Row (expected 58 columns, has 57): [MOBILE, EVDOA, Access...
Reports `check failed` messages and a line number to identify where the error occurred. For example:
F1022 19:51:40.978567 14889 Execute.cpp:982]Check failed: cd->columnType.is_string() && cd->columnType.get_compression() == kENCODING_DICT
Using Chrome’s Developer Tools, you can interact with data in Immerse to see SQL and response times from OmniSciDB. The syntax is
SQLlogging(true), entered under the console tab inline, as shown below.
Once SQL Logging is turned on, you can interact with the dashboard, see the SQL generated and monitor the response timing involved.
You can “tail” the logs using a terminal window from the logs folder (usually /var/lib/omnisci/data/mapd_log) by the following syntax in a terminal window and specifying the omnisci_server log file you want to view:
tail -f *.INFO
Monitoring options include the following.
From the command line, you can run
nvidia-smi to identify:
That the O/S can communicate with your NVIDIA GPU cards
NVIDIA SMI and driver version
GPU Card count, model, and memory usage
Aggregate memory usage by OmniSci
You can also leverage systemd in non-Docker deployments to verify the status of omnisci_server:
sudo systemctl status omnisci_server
sudo systemctl status omnisci_web_server
These commands show whether the service is running
(Active: active, (running)) or stopped
(Active: failed (result: signal), or
Active: inactive (dead)), the directory path, and a configuration summary.
omnisql, you can make these additional monitoring queries:
Returns: server version, start time, and server edition.
In distributed environments, returns: Name of leaf, leaf version number, leaf start time.
Returns a hybrid summary of CPU and GPU memory allocation. OmniSci Server CPU Memory Summary shows the maximum amount of memory available, what is in use, allocated and free. OmniSci allocates memory in 2 GB fragments on both CPU and GPU. OmniSci Server GPU Memory Summary shows the same memory summary at the individual card level. Note: OmniSci does not pre-allocate all of the available GPU memory.
A cold start of the system might look like this:
OmniSci Server CPU Memory Summary:MAX USE ALLOCATED FREE412566.56 MB 8.19 MB 4096.00 MB 4087.81 MBOmniSci Server GPU Memory Summary:[GPU] MAX USE ALLOCATED FREE 10169.96 MB 0.00 MB 0.00 MB 0.00 MB 10169.96 MB 0.00 MB 0.00 MB 0.00 MB 10169.96 MB 0.00 MB 0.00 MB 0.00 MB 10169.96 MB 0.00 MB 0.00 MB 0.00 MB
After warming up the data, the memory might look like this:
OmniSci Server CPU Memory Summary:MAX USE ALLOCATED FREE412566.56 MB 7801.54 MB 8192.00 MB 390.46 MBOmniSci Server GPU Memory Summary:[GPU] MAX USE ALLOCATED FREE 10169.96 MB 2356.00 MB 4096.00 MB 1740.00 MB 10169.96 MB 2356.00 MB 4096.00 MB 1740.00 MB 10169.96 MB 1995.01 MB 2048.00 MB 52.99 MB 10169.96 MB 1196.33 MB 2048.00 MB 851.67 MB