Influxdb show cardinality

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Total number of successful writes into InfluxDB. A single write writes multiple points at once. total points: Total number of points successfully written into InfluxDB. dropped points: Total number of points dropped due to InfluxDB write failures. series cardinality: An indication of how challenging is for InfluxDB to handle written points. Apr 27, 2016 · However, there is a huge caveat – a series cardinality being a major factor that affects RAM requirements. Based on the most recent InfluxDB hardware sizing guidelines, you will need around 2-4 GB of RAM for a low load with less than 100,000 unique series. Imagine that your database consists of one measurement that has only two tags, but ... show tag values cardinality As the concept of databases doesn't exists in Metrics, the SHOW DATABASES statement will always return only one database: metrics . For the SHOW TAG VALUES CARDINALITY statement: no measurement split are computed and only the global tag cardinality is shown (compare to the same statement on InfluxDB). > SHOW SERIES FROM temperature WHERE machine = 'unit42' key---temperature,machine=unit42, type =assembly > -- show estimated cardinality of the series on current database > SHOW SERIES CARDINALITY-- show estimated cardinality of the series on specified database > SHOW SERIES CARDINALITY ON mydb cardinality estimation-----3 Dec 15, 2016 · A: Series cardinality for a single measurement is actually the number of the tag sets that exist. Working with your example, if we have the tags firstname, lastname, and email, the total cardinality is purely driven by the email tag. Nov 27, 2018 · VictoriaMetrics, TimescaleDB and InfluxDB have been benchmarked in the previous article on a dataset with a billion datapoints belonging to 40K unique time series. A few years ago there was Zabbix… Same here , what's the solution guys?? 2. Influxdb show cardinality Aug 13, 2013 · Here at Spreedly we’ve recently started using the time series database InfluxDB to store a variety of customer activity metrics. As with any special purpose database, using and designing for a time-series database is quite different than what you may be used to with structured (SQL) databases. I’d like to describe our experience designing our InfluxDB schema, the mistakes we made, and the ... InfluxDB has a line protocol for sending time series data which takes the following form: measurement-name tag-set field-set timestamp The measurement name is a string, the tag set is a collection of key/value pairs where all values are strings, and the field set is a collection of key/value pairs where the values can be int64, float64, bool ... influxdb documentation: Show measurements. Example. When compared to a other database types, a measurement in Influx can be considered, on a very high level, as being similar to a table in relational databases or a collection in document databases. Total number of successful writes into InfluxDB. A single write writes multiple points at once. total points: Total number of points successfully written into InfluxDB. dropped points: Total number of points dropped due to InfluxDB write failures. series cardinality: An indication of how challenging is for InfluxDB to handle written points. > SHOW SERIES FROM temperature WHERE machine = 'unit42' key---temperature,machine=unit42, type =assembly > -- show estimated cardinality of the series on current database > SHOW SERIES CARDINALITY-- show estimated cardinality of the series on specified database > SHOW SERIES CARDINALITY ON mydb cardinality estimation-----3 Influxdb select tag values show tag values cardinality As the concept of databases doesn't exists in Metrics, the SHOW DATABASES statement will always return only one database: metrics . For the SHOW TAG VALUES CARDINALITY statement: no measurement split are computed and only the global tag cardinality is shown (compare to the same statement on InfluxDB). Series Cardinality by Database; Number of Measurements by Database; Setup. Create the Data Source for _internal of influxDB. Select Type: influxdb; Data Source Naming with _internal. like InfluxDB(_internal) InfluxDB Details: Database: _internal; History. Rev.3 add hostname variable. Rev.2 Group with hostname and show on legend. Add description ... Jan 19, 2016 · When influxdb counts cardinality in a Measurement, it counts the combination of all tags. For example, if my measurement has the following tags: 3 os, 200 devices, 3 browsers, then the cardinality is > 3x200x3=1800. Ofcourse 1800 is not huge, but if you had more devices, OSes and browsers, that number can grow over time. The problem: In grafana it is difficult to group by month or year because of limitation in influxdb. If you want to show exactly what your house used for the month of January you have to approximate by using the last 30.5 days or something similar. Basically their is no way to group by year, month, week, or other timed based grouping in influxdb. Why does series cardinality matter? InfluxDB maintains an in-memory index of every series in the system. As the number of unique series grows, so does the RAM usage. High series cardinality can lead to the operating system killing the InfluxDB process with an out of memory (OOM) exception. The problem: In grafana it is difficult to group by month or year because of limitation in influxdb. If you want to show exactly what your house used for the month of January you have to approximate by using the last 30.5 days or something similar. Basically their is no way to group by year, month, week, or other timed based grouping in influxdb. InfluxDB 1.5.2 on CentOS 7. Steps to reproduce: Try to run SHOW TAG VALUES CARDINALITY FROM "database" WITH KEY = "database" WHERE time > NOW() - 1d. Expected behavior: The query should return the number of distinct values for tag database that have data for the last day. Actual behavior: The result is empty, meaning no rows are returned at all. Enter InfluxDB. InfluxDB is a time series database written entirely in Go. Influx is meant for exactly this purpose, so it should be a good fit. Its lovely HTTP API lets you connect it to just about anything without the need of additional libraries. Influx is also a ’schemaless’ database so it’s pretty much just plug n’ play! Performance Influxdb show cardinality Influxdb show cardinality Dec 15, 2016 · A: Series cardinality for a single measurement is actually the number of the tag sets that exist. Working with your example, if we have the tags firstname, lastname, and email, the total cardinality is purely driven by the email tag. > SHOW SERIES FROM temperature WHERE machine = 'unit42' key---temperature,machine=unit42, type =assembly > -- show estimated cardinality of the series on current database > SHOW SERIES CARDINALITY-- show estimated cardinality of the series on specified database > SHOW SERIES CARDINALITY ON mydb cardinality estimation-----3 Aug 23, 2016 · Proposal: Add a SHOW CARDINALITY query to the database. This should be something that can be scoped by database, measurement, tag key, or tag key/value pair. Each one of these queries could be delivered separately. Influxdb select tag values Same here , what's the solution guys?? 2. Influxdb show cardinality Enter InfluxDB. InfluxDB is a time series database written entirely in Go. Influx is meant for exactly this purpose, so it should be a good fit. Its lovely HTTP API lets you connect it to just about anything without the need of additional libraries. Influx is also a ’schemaless’ database so it’s pretty much just plug n’ play! Performance InfluxDB may require high amounts of memory for high cardinality data (~10KB of memory per time series) and memory requirements may grow exponentially with the number of unique time series. See these official docs for details. There are other time series databases exist, which require lower amounts of RAM for high cardinality data. The problem: In grafana it is difficult to group by month or year because of limitation in influxdb. If you want to show exactly what your house used for the month of January you have to approximate by using the last 30.5 days or something similar. Basically their is no way to group by year, month, week, or other timed based grouping in influxdb.