- 4 历史函数
- Function details
- change(/host/key)
- changecount(/host/key,(sec|#num)<:time shift>,<mode>)
- count(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
- countunique(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
- find(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
- first(/host/key,sec<:time shift>)
- fuzzytime(/host/key,sec)
- last(/host/key,<#num<:time shift>>)
- logeventid(/host/key,<#num<:time shift>>,<pattern>)
- logseverity(/host/key,<#num<:time shift>>)
- logsource(/host/key,<#num<:time shift>>,<pattern>)
- monodec(/host/key,(sec|#num)<:time shift>,<mode>)
- monoinc(/host/key,(sec|#num)<:time shift>,<mode>)
- nodata(/host/key,sec,<mode>)
- percentile(/host/key,(sec|#num)<:time shift>,percentage)
- rate(/host/key,sec<:time shift>)
- History functions
4 历史函数
此处列出的所有函数都支持:
关于函数参数的一些整体说明:
- 函数参数用逗号分隔
- 可选函数参数(或参数部分)由
<
>
表示 - 每个函数都描述了特定功能的参数
/host/key
和(sec|#num)<:time shift>
参数绝不能被引用
常用参数
/host/key
是引用主机监控项历史记录函数的常用强制性首选参数(sec|#num)<:time shift>
是引用主机监控项历史记录函数的常用强制性次选参数 ,其中:
Function details
Some general notes on function parameters:
- Function parameters are separated by a comma
- Optional function parameters (or parameter parts) are indicated by
<
>
- Function-specific parameters are described with each function
/host/key
and(sec|#num)<:time shift>
parameters must never be quoted
change(/host/key)
The amount of difference between the previous and latest value.
Supported value types: Float, Integer, String, Text, Log.
For strings returns: 0 - values are equal; 1 - values differ.
Parameters: see common parameters.
Comments:
Numeric difference will be calculated, as seen with these incoming example values (‘previous’ and ‘latest’ value = difference):
‘1’ and ‘5’ =+4
‘3’ and ‘1’ =-2
‘0’ and ‘-2.5’ =-2.5
See also: abs for comparison.
Examples:
change(/host/key)>10
changecount(/host/key,(sec|#num)<:time shift>,<mode>)
The number of changes between adjacent values within the defined evaluation period.
Supported value types: Float, Integer, String, Text, Log.
Parameters:
See common parameters;
mode (must be double-quoted) - possible values: all - count all changes (default); dec - count decreases; inc - count increases
For non-numeric value types, the mode parameter is ignored.
Examples:
changecount(/host/key,1w) #the number of value changes for the last week until now
changecount(/host/key,#10,"inc") #the number of value increases (relative to the adjacent value) among the last 10 values
changecount(/host/key,24h,"dec") #the number of value decreases (relative to the adjacent value) for the last 24 hours until now
count(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
The number of values within the defined evaluation period.
Supported value types: Float, Integer, String, Text, Log.
Parameters:
See common parameters;
operator (must be double-quoted). Supported
operators
:
eq - equal (default)
ne - not equal
gt - greater
ge - greater or equal
lt - less
le - less or equal
like - matches if contains pattern (case-sensitive)
bitand - bitwise AND
regexp - case-sensitive match of the regular expression given inpattern
iregexp - case-insensitive match of the regular expression given inpattern
pattern - the required pattern (string arguments must be double-quoted).
Comments:
- Float items match with the precision of 2.22e-16; if database is not upgraded the precision is 0.000001.
- With bitand as the third parameter, the fourth
pattern
parameter can be specified as two numbers, separated by ‘/‘: number_to_compare_with/mask. count() calculates “bitwise AND” from the value and the mask and compares the result to number_to_compare_with. If the result of “bitwise AND” is equal to number_to_compare_with, the value is counted.
If number_to_compare_with and mask are equal, only the mask need be specified (without ‘/‘). - With regexp or iregexp as the third parameter, the fourth
pattern
parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from global regular expression settings. For the purpose of regexp matching, float values will always be represented with 4 decimal digits after ‘.’. Also note that for large numbers difference in decimal (stored in database) and binary (used by Zabbix server) representation may affect the 4th decimal digit.
Examples:
count(/host/key,10m) #the values for the last 10 minutes until now
count(/host/key,10m,"like","error") #the number of values for the last 10 minutes until now that contain 'error'
count(/host/key,10m,,12) #the number of values for the last 10 minutes until now that equal '12'
count(/host/key,10m,"gt",12) #the number of values for the last 10 minutes until now that are over '12'
count(/host/key,#10,"gt",12) #the number of values within the last 10 values until now that are over '12'
count(/host/key,10m:now-1d,"gt",12) #the number of values between 24 hours and 10 minutes and 24 hours ago from now that were over '12'
count(/host/key,10m,"bitand","6/7") #the number of values for the last 10 minutes until now having '110' (in binary) in the 3 least significant bits
count(/host/key,10m:now-1d) #the number of values between 24 hours and 10 minutes and 24 hours ago from now
countunique(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
The number of unique values within the defined evaluation period.
Supported value types: Float, Integer, String, Text, Log.
Parameters:
See common parameters;
operator (must be double-quoted). Supported
operators
:
eq - equal (default)
ne - not equal
gt - greater
ge - greater or equal
lt - less
le - less or equal
like - matches if contains pattern (case-sensitive)
bitand - bitwise AND
regexp - case-sensitive match of the regular expression given inpattern
iregexp - case-insensitive match of the regular expression given inpattern
pattern - the required pattern (string arguments must be double-quoted).
Comments:
- Float items match with the precision of 2.22e-16; if database is not upgraded the precision is 0.000001.
- With bitand as the third parameter, the fourth
pattern
parameter can be specified as two numbers, separated by ‘/‘: number_to_compare_with/mask. countunique() calculates “bitwise AND” from the value and the mask and compares the result to number_to_compare_with. If the result of “bitwise AND” is equal to number_to_compare_with, the value is counted.
If number_to_compare_with and mask are equal, only the mask need be specified (without ‘/‘). - With regexp or iregexp as the third parameter, the fourth
pattern
parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from global regular expression settings. For the purpose of regexp matching, float values will always be represented with 4 decimal digits after ‘.’. Also note that for large numbers difference in decimal (stored in database) and binary (used by Zabbix server) representation may affect the 4th decimal digit.
Examples:
countunique(/host/key,10m) #the number of unique values for the last 10 minutes until now
countunique(/host/key,10m,"like","error") #the number of unique values for the last 10 minutes until now that contain 'error'
countunique(/host/key,10m,,12) #the number of unique values for the last 10 minutes until now that equal '12'
countunique(/host/key,10m,"gt",12) #the number of unique values for the last 10 minutes until now that are over '12'
countunique(/host/key,#10,"gt",12) #the number of unique values within the last 10 values until now that are over '12'
countunique(/host/key,10m:now-1d,"gt",12) #the number of unique values between 24 hours and 10 minutes and 24 hours ago from now that were over '12'
countunique(/host/key,10m,"bitand","6/7") #the number of unique values for the last 10 minutes until now having '110' (in binary) in the 3 least significant bits
countunique(/host/key,10m:now-1d) #the number of unique values between 24 hours and 10 minutes and 24 hours ago from now
find(/host/key,(sec|#num)<:time shift>,<operator>,<pattern>)
Find a value match within the defined evaluation period.
Supported value types: Float, Integer, String, Text, Log.
Returns: 1 - found; 0 - otherwise.
Parameters:
See common parameters;
sec or #num (optional) - defaults to the latest value if not specified
operator (must be double-quoted). Supported
operators
:
eq - equal (default)
ne - not equal
gt - greater
ge - greater or equal
lt - less
le - less or equal
like - matches if contains the string given inpattern
(case-sensitive)
bitand - bitwise AND
regexp - case-sensitive match of the regular expression given inpattern
iregexp - case-insensitive match of the regular expression given inpattern
pattern - the required pattern (string arguments must be double-quoted); Perl Compatible Regular Expression (PCRE) regular expression if
operator
is regexp, iregexp.
Comments:
- If more than one value is processed, ‘1’ is returned if there is at least one matching value.
- With regexp or iregexp as the third parameter, the fourth
pattern
parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from the global regular expression settings.
Example:
find(/host/key,10m,"like","error") #find a value that contains 'error' within the last 10 minutes until now
first(/host/key,sec<:time shift>)
The first (the oldest) value within the defined evaluation period.
Supported value types: Float, Integer, String, Text, Log.
Parameters:
- See common parameters.
See also last().
Example:
first(/host/key,1h) #retrieve the oldest value within the last hour until now
fuzzytime(/host/key,sec)
Check how much the passive agent time differs from the Zabbix server/proxy time.
Supported value types: Float, Integer.
Returns: 1 - difference between the passive item value (as timestamp) and Zabbix server/proxy timestamp (the clock of value collection) is less than or equal to T seconds; 0 - otherwise.
Parameters:
- See common parameters.
Comments:
- Usually used with the ‘system.localtime’ item to check that local time is in sync with the local time of Zabbix server. Note that ‘system.localtime’ must be configured as a passive check.
- Can be used also with the
vfs.file.time[/path/file,modify]
key to check that the file did not get updates for long time; - This function is not recommended for use in complex trigger expressions (with multiple items involved), because it may cause unexpected results (time difference will be measured with the most recent metric), e.g. in
fuzzytime(/Host/system.localtime,60s)=0 or last(/Host/trap)<>0
.
Example:
fuzzytime(/host/key,60s)=0 #detect a problem if the time difference is over 60 seconds
last(/host/key,<#num<:time shift>>)
The most recent value.
Supported value types: Float, Integer, String, Text, Log.
Parameters:
See common parameters;
#num (optional) - the Nth most recent value.
Comments:
- Take note that a hash-tagged time period (#N) works differently here than with many other functions. For example:
last()
is always equal tolast(#1)
;last(#3)
- the third most recent value (not three latest values); - Zabbix does not guarantee the exact order of values if more than two values exist within one second in history;
- See also first().
Example:
last(/host/key) #retrieve the last value
last(/host/key,#2) #retrieve the previous value
last(/host/key,#1) <> last(/host/key,#2) #the last and previous values differ
logeventid(/host/key,<#num<:time shift>>,<pattern>)
Check if the event ID of the last log entry matches a regular expression.
Supported value types: Log.
Returns: 0 - does not match; 1 - matches.
Parameters:
See common parameters;
#num (optional) - the Nth most recent value;
pattern (optional) - the regular expression describing the required pattern, Perl Compatible Regular Expression (PCRE) style (string arguments must be double-quoted).
logseverity(/host/key,<#num<:time shift>>)
Log severity of the last log entry.
Supported value types: Log.
Returns: 0 - default severity; N - severity (integer, useful for Windows event logs: 1 - Information, 2 - Warning, 4 - Error, 7 - Failure Audit, 8 - Success Audit, 9 - Critical, 10 - Verbose).
Parameters:
See common parameters;
#num (optional) - the Nth most recent value.
Zabbix takes log severity from the Information field of Windows event log.
logsource(/host/key,<#num<:time shift>>,<pattern>)
Check if log source of the last log entry matches a regular expression.
Supported value types: Log.
Returns: 0 - does not match; 1 - matches.
Parameters:
See common parameters;
#num (optional) - the Nth most recent value;
pattern (optional) - the regular expression describing the required pattern, Perl Compatible Regular Expression (PCRE) style (string arguments must be double-quoted).
Normally used for Windows event logs.
Example:
logsource(/host/key,,"VMware Server")
monodec(/host/key,(sec|#num)<:time shift>,<mode>)
Check if there has been a monotonous decrease in values.
Supported value types: Integer.
Returns: 1 - if all elements in the time period continuously decrease; 0 - otherwise.
Parameters:
See common parameters;
mode (must be double-quoted) - weak (every value is smaller or the same as the previous one; default) or strict (every value has decreased).
Example:
monodec(/Host1/system.swap.size[all,free],60s) + monodec(/Host2/system.swap.size[all,free],60s) + monodec(/Host3/system.swap.size[all,free],60s) #calculate in how many hosts there has been a decrease in free swap size
monoinc(/host/key,(sec|#num)<:time shift>,<mode>)
Check if there has been a monotonous increase in values.
Supported value types: Integer.
Returns: 1 - if all elements in the time period continuously increase; 0 - otherwise.
Parameters:
See common parameters;
mode (must be double-quoted) - weak (every value is bigger or the same as the previous one; default) or strict (every value has increased).
Example:
monoinc(/Host1/system.localtime,#3,"strict")=0 #check if the system local time has been increasing consistently
nodata(/host/key,sec,<mode>)
Check for no data received.
Supported value types: Integer, Float, Character, Text, Log.
Returns: 1 - if no data received during the defined period of time; 0 - otherwise.
Parameters:
See common parameters;
sec - the period should not be less than 30 seconds because the history syncer process calculates this function only every 30 seconds;
nodata(/host/key,0)
is disallowed.- mode - if set to strict (double-quoted), this function will be insensitive to proxy availability (see comments for details).
Comments:
the ‘nodata’ triggers monitored by proxy are, by default, sensitive to proxy availability - if proxy becomes unavailable, the ‘nodata’ triggers will not fire immediately after a restored connection, but will skip the data for the delayed period. Note that for passive proxies suppression is activated if connection is restored more than 15 seconds and no less than 2 & ProxyUpdateFrequency seconds later. For active proxies suppression is activated if connection is restored more than 15 seconds later. To turn off sensitiveness to proxy availability, use the third parameter, e.g.:
nodata(/host/key,5m,"strict")
; in this case the function will fire as soon as the evaluation period (five minutes) without data has past.This function will display an error if, within the period of the 1st parameter:
- there’s no data and Zabbix server was restarted
- there’s no data and maintenance was completed
- there’s no data and the item was added or re-enabledErrors are displayed in the Info column in trigger configuration;
This function may not work properly if there are time differences between Zabbix server, proxy and agent. See also: Time synchronization requirement.
percentile(/host/key,(sec|#num)<:time shift>,percentage)
The P-th percentile of a period, where P (percentage) is specified by the third parameter.
Supported value types: Float, Integer.
Parameters:
See common parameters;
percentage - a floating-point number between 0 and 100 (inclusive) with up to 4 digits after the decimal point.
rate(/host/key,sec<:time shift>)
The per-second average rate of the increase in a monotonically increasing counter within the defined time period.
Supported value types: Float, Integer.
Parameters:
- See common parameters.
Functionally corresponds to ‘rate‘ of PromQL.
Example:
rate(/host/key,30s) #if the monotonic increase over 30 seconds is 20, this function will return 0.67.
History functions
FUNCTION | |||
---|---|---|---|
Description | Function-specific parameters | Comments | |
change (/host/key) | |||
The amount of difference between the previous and latest value. | Supported value types: float, int, str, text, log For strings returns: 0 - values are equal 1 - values differ Example: => change(/host/key)>10 Numeric difference will be calculated, as seen with these incoming example values (‘previous’ and ‘latest’ value = difference): ‘1’ and ‘5’ = +4 ‘3’ and ‘1’ = -2 ‘0’ and ‘-2.5’ = -2.5 See also: abs for comparison | ||
changecount (/host/key,(sec|#num)<:time shift>,<mode>) | |||
Number of changes between adjacent values within the defined evaluation period. | See common parameters. mode (optional; must be double-quoted) Supported modes :all - count all changes (default) dec - count decreases inc - count increases | Supported value types: float, int, str, text, log For non-numeric value types, mode parameter is ignored. Examples: => changecount(/host/key, 1w) → number of value changes for the last week until now => changecount(/host/key,#10,”inc”) → number of value increases (relative to the adjacent value) among the last 10 values => changecount(/host/key,24h,”dec”) → number of value decreases (relative to the adjacent value) for the last 24 hours until now | |
count (/host/key,(sec|#num)<:time shift>,<operator>,<pattern>) | |||
Number of values within the defined evaluation period. | See common parameters. operator (optional; must be double-quoted) Supported operators :eq - equal (default) ne - not equal gt - greater ge - greater or equal lt - less le - less or equal like - matches if contains pattern (case-sensitive) bitand - bitwise AND regexp - case-sensitive match of the regular expression given in pattern iregexp - case-insensitive match of the regular expression given in pattern pattern (optional) - required pattern (string arguments must be double-quoted) | Supported value types: float, integer, string, text, log Float items match with the precision of 2.22e-16; if database is not upgraded the precision is 0.000001. With bitand as the third parameter, the fourth pattern parameter can be specified as two numbers, separated by ‘/‘: number_to_compare_with/mask. count() calculates “bitwise AND” from the value and the mask and compares the result to number_to_compare_with. If the result of “bitwise AND” is equal to number_to_compare_with, the value is counted.If number_to_compare_with and mask are equal, only the mask need be specified (without ‘/‘). With regexp or iregexp as the third parameter, the fourth pattern parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from global regular expression settings. For the purpose of regexp matching, float values will always be represented with 4 decimal digits after ‘.’. Also note that for large numbers difference in decimal (stored in database) and binary (used by Zabbix server) representation may affect the 4th decimal digit.Examples: => count(/host/key,10m) → number of values for the last 10 minutes until now => count(/host/key,10m,”like”,”error”) → number of values for the last 10 minutes until now that contain ‘error’ => count(/host/key,10m,,12) → number of values for the last 10 minutes until now that equal ‘12’ => count(/host/key,10m,”gt”,12) → number of values for the last 10 minutes until now that are over ‘12’ => count(/host/key,#10,”gt”,12) → number of values within the last 10 values until now that are over ‘12’ => count(/host/key,10m:now-1d,”gt”,12) → number of values between 24 hours and 10 minutes and 24 hours ago from now that were over ‘12’ => count(/host/key,10m,”bitand”,”6/7”) → number of values for the last 10 minutes until now having ‘110’ (in binary) in the 3 least significant bits. => count(/host/key,10m:now-1d) → number of values between 24 hours and 10 minutes and 24 hours ago from now | |
countunique (/host/key,(sec|#num)<:time shift>,<operator>,<pattern>) | |||
Number of unique values within the defined evaluation period. | See common parameters. operator (optional; must be double-quoted) Supported operators :eq - equal (default) ne - not equal gt - greater ge - greater or equal lt - less le - less or equal like - matches if contains pattern (case-sensitive) bitand - bitwise AND regexp - case-sensitive match of the regular expression given in pattern iregexp - case-insensitive match of the regular expression given in pattern pattern (optional) - required pattern (string arguments must be double-quoted) | Supported value types: float, integer, string, text, log Float items match with the precision of 2.22e-16; if database is not upgraded the precision is 0.000001. With bitand as the third parameter, the fourth pattern parameter can be specified as two numbers, separated by ‘/‘: number_to_compare_with/mask. count() calculates “bitwise AND” from the value and the mask and compares the result to number_to_compare_with. If the result of “bitwise AND” is equal to number_to_compare_with, the value is counted.If number_to_compare_with and mask are equal, only the mask need be specified (without ‘/‘). With regexp or iregexp as the third parameter, the fourth pattern parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from global regular expression settings. For the purpose of regexp matching, float values will always be represented with 4 decimal digits after ‘.’. Also note that for large numbers difference in decimal (stored in database) and binary (used by Zabbix server) representation may affect the 4th decimal digit.Examples: => countunique(/host/key,10m) → number of unique values for the last 10 minutes until now => countunique(/host/key,10m,”like”,”error”) → number of unique values for the last 10 minutes until now that contain ‘error’ => countunique(/host/key,10m,”gt”,12) → number of unique values for the last 10 minutes until now that are over ‘12’ => countunique(/host/key,#10,”gt”,12) → number of unique values within the last 10 values until now that are over ‘12’ => countunique(/host/key,10m:now-1d,”gt”,12) → number of unique values between 24 hours and 10 minutes and 24 hours ago from now that were over ‘12’ => countunique(/host/key,10m,”bitand”,”6/7”) → number of unique values for the last 10 minutes until now having ‘110’ (in binary) in the 3 least significant bits. => countunique(/host/key,10m:now-1d) → number of unique values between 24 hours and 10 minutes and 24 hours ago from now | |
find (/host/key,<(sec|#num)<:time shift>>,<operator>,<pattern>) | |||
Find a value match. | See common parameters. sec or #num (optional) - defaults to the latest value if not specified operator (optional; must be double-quoted) Supported operators :eq - equal (default) ne - not equal gt - greater ge - greater or equal lt - less le - less or equal like - value contains the string given in pattern (case-sensitive)bitand - bitwise AND regexp - case-sensitive match of the regular expression given in pattern iregexp - case-insensitive match of the regular expression given in pattern pattern - required pattern (string arguments must be double-quoted); Perl Compatible Regular Expression (PCRE) regular expression if operator is regexp, iregexp. | Supported value types: float, int, str, text, log Returns: 1 - found 0 - otherwise If more than one value is processed, ‘1’ is returned if there is at least one matching value. With regexp or iregexp as the third parameter, the fourth pattern parameter can be an ordinary or global (starting with ‘@’) regular expression. In case of global regular expressions case sensitivity is inherited from global regular expression settings.Example: => find(/host/key,10m,”like”,”error”) → find a value that contains ‘error’ within the last 10 minutes until now | |
first (/host/key,sec<:time shift>) | |||
The first (the oldest) value within the defined evaluation period. | See common parameters. | Supported value types: float, int, str, text, log Example: => first(/host/key,1h) → retrieve the oldest value within the last hour until now See also last(). | |
fuzzytime (/host/key,sec) | |||
Checking how much the passive agent time differs from the Zabbix server/proxy time. | See common parameters. | Supported value types: float, int Returns: 1 - difference between the passive item value (as timestamp) and Zabbix server/proxy timestamp is less than or equal to T seconds 0 - otherwise Usually used with the ‘system.localtime’ item to check that local time is in sync with the local time of Zabbix server. Note that ‘system.localtime’ must be configured as a passive check. Can be used also with vfs.file.time[/path/file,modify] key to check that file didn’t get updates for long time. Example: => fuzzytime(/host/key,60s)=0 → detect a problem if the time difference is over 60 seconds This function is not recommended for use in complex trigger expressions (with multiple items involved), because it may cause unexpected results (time difference will be measured with the most recent metric), e.g. in fuzzytime(/Host/system.localtime,60s)=0 or last(/Host/trap)<>0 | |
last (/host/key,<#num<:time shift>>) | |||
The most recent value. | See common parameters. #num (optional) - the Nth most recent value | Supported value types: float, int, str, text, log Take note that a hash-tagged time period (#N) works differently here than with many other functions. For example: last() is always equal to last(#1) last(#3) - third most recent value (not three latest values) Zabbix does not guarantee the exact order of values if more than two values exist within one second in history. Example: => last(/host/key) → retrieve the last value => last(/host/key,#2) → retrieve the previous value => last(/host/key,#1) <> last(/host/key,#2) → the last and previous values differ See also first(). | |
logeventid (/host/key,<#num<:time shift>>,<pattern>) | |||
Checking if event ID of the last log entry matches a regular expression. | See common parameters. #num (optional) - the Nth most recent value pattern (optional) - regular expression describing the required pattern, Perl Compatible Regular Expression (PCRE) style (string arguments must be double-quoted). | Supported value types: log Returns: 0 - does not match 1 - matches | |
logseverity (/host/key,<#num<:time shift>>) | |||
Log severity of the last log entry. | See common parameters. #num (optional) - the Nth most recent value | Supported value types: log Returns: 0 - default severity N - severity (integer, useful for Windows event logs: 1 - Information, 2 - Warning, 4 - Error, 7 - Failure Audit, 8 - Success Audit, 9 - Critical, 10 - Verbose). Zabbix takes log severity from Information field of Windows event log. | |
logsource (/host/key,<#num<:time shift>>,<pattern>) | |||
Checking if log source of the last log entry matches a regular expression. | See common parameters. #num (optional) - the Nth most recent value pattern (optional) - regular expression describing the required pattern, Perl Compatible Regular Expression (PCRE) style (string arguments must be double-quoted). | Supported value types: log Returns: 0 - does not match 1 - matches Normally used for Windows event logs. For example, logsource(“VMware Server”). | |
monodec (/host/key,(sec|#num)<:time shift>,<mode>) | |||
Check if there has been a monotonous decrease in values. | See common parameters. mode (must be double-quoted) - weak (every value is smaller or the same as the previous one; default) or strict (every value has decreased) | Supported value types: int Returns 1 if all elements in the time period continuously decrease, 0 otherwise. Example: => monodec(/Host1/system.swap.size[all,free],60s) + monodec(/Host2/system.swap.size[all,free],60s) + monodec(/Host3/system.swap.size[all,free],60s) - calculate in how many hosts there has been a decrease in free swap size | |
monoinc (/host/key,(sec|#num)<:time shift>,<mode>) | |||
Check if there has been a monotonous increase in values. | See common parameters. mode (must be double-quoted) - weak (every value is bigger or the same as the previous one; default) or strict (every value has increased) | Supported value types: int Returns 1 if all elements in the time period continuously increase, 0 otherwise. Example: => monoinc(/Host1/system.localtime,#3,”strict”)=0 - check if system local time has been increasing consistently | |
nodata (/host/key,sec,<mode>) | |||
Checking for no data received. | See common parameters. sec period should not be less than 30 seconds because the history syncer process calculates this function only every 30 seconds. nodata(/host/key,0) is disallowed. mode - if set to strict (double-quoted), this function will be insensitive to proxy availability (see comments for details). | All value types are supported. Returns: 1 - if no data received during the defined period of time 0 - otherwise Since Zabbix 5.0, the ‘nodata’ triggers monitored by proxy are, by default, sensitive to proxy availability - if proxy becomes unavailable, the ‘nodata’ triggers will not fire immediately after a restored connection, but will skip the data for the delayed period. Note that for passive proxies suppression is activated if connection is restored more than 15 seconds and no less than 2 & ProxyUpdateFrequency seconds later. For active proxies suppression is activated if connection is restored more than 15 seconds later. To turn off sensitiveness to proxy availability, use the third parameter, e.g.: nodata(/host/key,5m,“strict”); in this case the function will work the same as before 5.0.0 and fire as soon as the evaluation period (five minutes) without data has past. Note that this function will display an error if, within the period of the 1st parameter: - there’s no data and Zabbix server was restarted - there’s no data and maintenance was completed - there’s no data and the item was added or re-enabled Errors are displayed in the Info column in trigger configuration. This function may not work properly if there are time differences between Zabbix server, proxy and agent. See also: Time synchronization requirement. | |
percentile (/host/key,(sec|#num)<:time shift>,percentage) | |||
P-th percentile of a period, where P (percentage) is specified by the third parameter. | See common parameters. percentage - a floating-point number between 0 and 100 (inclusive) with up to 4 digits after the decimal point | Supported value types: float, int | |
rate (/host/key,sec<:time shift>) | |||
Per-second average rate of the increase in a monotonically increasing counter within the defined time period. | See common parameters. | Supported value types: float, int Functionally corresponds to ‘rate‘ of PromQL. Example: => rate(/host/key,30s) → If the monotonic increase over 30 seconds is 20, this function will return 0.67. | |
trendavg (/host/key,time period:time shift) | |||
Average of trend values within the defined time period. | time period - the time period (minimum ‘1h’), defined as <N><time unit> whereN - number of time unitstime unit - h (hour), d (day), w (week), M (month) or y (year).Time shift - the time period offset (see examples) | Examples: => trendavg(/host/key,1h:now/h) → average for the previous hour (e.g. 12:00-13:00) => trendavg(/host/key,1h:now/h-1h) → average for two hours ago (11:00-12:00) => trendavg(/host/key,1h:now/h-2h) → average for three hours ago (10:00-11:00) => trendavg(/host/key,1M:now/M-1y) → average for the previous month a year ago | |
trendcount (/host/key,time period:time shift) | |||
Number of successfully retrieved trend values within the defined time period. | time period - the time period (minimum ‘1h’), defined as <N><time unit> whereN - number of time unitstime unit - h (hour), d (day), w (week), M (month) or y (year).Time shift - the time period offset (see examples) | Examples: => trendcount(/host/key,1h:now/h) → count for the previous hour (e.g. 12:00-13:00) => trendcount(/host/key,1h:now/h-1h) → count for two hours ago (11:00-12:00) => trendcount(/host/key,1h:now/h-2h) → count for three hours ago (10:00-11:00) => trendcount(/host/key,1M:now/M-1y) → count for the previous month a year ago | |
trendmax (/host/key,time period:time shift) | |||
The maximum in trend values within the defined time period. | time period - the time period (minimum ‘1h’), defined as <N><time unit> whereN - number of time unitstime unit - h (hour), d (day), w (week), M (month) or y (year).Time shift - the time period offset (see examples) | Examples: => trendmax(/host/key,1h:now/h) → maximum for the previous hour (e.g. 12:00-13:00) => trendmax(/host/key,1h:now/h) - trendmin(/host/key,1h:now/h) → calculate the difference between the maximum and minimum values (trend delta) for the previous hour (12:00-13:00) => trendmax(/host/key,1h:now/h-1h) → maximum for two hours ago (11:00-12:00) => trendmax(/host/key,1h:now/h-2h) → maximum for three hours ago (10:00-11:00) => trendmax(/host/key,1M:now/M-1y) → maximum for the previous month a year ago | |
trendmin (/host/key,time period:time shift) | |||
The minimum in trend values within the defined time period. | time period - the time period (minimum ‘1h’), defined as <N><time unit> whereN - number of time unitstime unit - h (hour), d (day), w (week), M (month) or y (year).Time shift - the time period offset (see examples) | Examples: => trendmin(/host/key,1h:now/h) → minimum for the previous hour (e.g. 12:00-13:00) => trendmax(/host/key,1h:now/h) - trendmin(/host/key,1h:now/h) → calculate the difference between the maximum and minimum values (trend delta) for the previous hour (12:00-13:00) => trendmin(/host/key,1h:now/h-1h) → minimum for two hours ago (11:00-12:00) => trendmin(/host/key,1h:now/h-2h) → minimum for three hours ago (10:00-11:00) => trendmin(/host/key,1M:now/M-1y) → minimum for the previous month a year ago | |
trendsum (/host/key,time period:time shift) | |||
Sum of trend values within the defined time period. | time period - the time period (minimum ‘1h’), defined as <N><time unit> whereN - number of time unitstime unit - h (hour), d (day), w (week), M (month) or y (year).Time shift - the time period offset (see examples) | Examples: => trendsum(/host/key,1h:now/h) → sum for the previous hour (e.g. 12:00-13:00) => trendsum(/host/key,1h:now/h-1h) → sum for two hours ago (11:00-12:00) => trendsum(/host/key,1h:now/h-2h) → sum for three hours ago (10:00-11:00) => trendsum(/host/key,1M:now/M-1y) → sum for the previous month a year ago |