Briefly, this error occurs when Elasticsearch cannot parse the ‘vm.max_map_count’ setting, which defines the maximum number of memory map areas a process can have. This could be due to incorrect configuration or insufficient system resources. To resolve this issue, you can increase the ‘vm.max_map_count’ value in the system configuration file. Alternatively, you can also set this value temporarily by using the command ‘sysctl -w vm.max_map_count=value’. Ensure that the value is appropriate for your system’s resources to avoid overconsumption.
We recommend you run Elasticsearch Error Check-Up which can resolve issues that cause many errors.
Advanced users might want to skip right to the common problems section in each concept or try running the Check-Up which analyses ES to pinpoint the cause of many errors and provides suitable actionable recommendations how to resolve them (free tool that requires no installation).
vm.max_map_count is defined as a Long data type in Elasticsearch. This method in BootstrapChecks.java tries to convert it from String(Read in Sting) to the Long data type. If you define a `vm.max_map_count` which can’t be converted to Long, then Elasticsearch throws NumberFormatException and logs below Error:unable to parse vm.max_map_count
Log Context
Log “unable to parse vm.max_map_count [{}]” classname is BootstrapChecks.java.
We extracted the following from Elasticsearch source code for those seeking an in-depth context :
final String rawProcSysVmMaxMapCount = readProcSysVmMaxMapCount(bufferedReader);
if (rawProcSysVmMaxMapCount != null) {
try {
return parseProcSysVmMaxMapCount(rawProcSysVmMaxMapCount);
} catch (final NumberFormatException e) {
logger.warn(() -> new ParameterizedMessage("unable to parse vm.max_map_count [{}]"; rawProcSysVmMaxMapCount); e);
}
}
} catch (final IOException e) {
logger.warn(() -> new ParameterizedMessage("I/O exception while trying to read [{}]"; path); e);
}
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