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12 23 1 30 11 28 3 28 2 11 1 10 8 23 7 22 In the data above, the collection of field-key and field-value pairs make up a field set. Here are all eight field sets in the sample data: butterflies = 12 honeybees = 23; butterflies = 1 honeybees = 30; butterflies = 11 honeybees = 28; butterflies = 3 honeybees = 28. InfluxDB (Flux) Datasource BETA This plugin will work with InfluxDB 2.x and InfluxDB 1.8+ In a future grafana releases, this plugin will be incorporated into the main influx plugin and allow a single datasource to support flux queries or influxql (SQL style) queries. Welds mild steel with a gasless, flux core wire electrode; Welds up to 1/8 in. Mild steel; Plugs into household 115V, 20 amp outlet; 35-88 amps output; Cold contactor safety feature keeps welding wire electrically cold until the gun trigger is pressed.
This page documents an earlier version of InfluxDB.InfluxDB v2.0 is the latest stable version.See the equivalent InfluxDB v2.0 documentation:Enable TLS encryption.
Enabling HTTPS encrypts the communication between clients and the InfluxDB server.When configured with a signed certificate, HTTPS can also verify the authenticity of the InfluxDB server to connecting clients.
InfluxData strongly recommends enabling HTTPS, especially if you plan on sending requests to InfluxDB over a network.
Requirements
To enable HTTPS with InfluxDB, you'll need an existing or new InfluxDB instanceand a Transport Layer Security (TLS) certificate (also known as a Secured Sockets Layer (SSL) certificate).
InfluxDB supports three types of TLS certificates:
Single domain certificates signed by a Certificate Authority
Single domain certificates provide cryptographic security to HTTPS requests and allow clients to verify the identity of the InfluxDB server.With this certificate option, every InfluxDB instance requires a unique single domain certificate.
Wildcard certificates signed by a Certificate Authority
Wildcard certificates provide cryptographic security to HTTPS requests and allow clients to verify the identity of the InfluxDB server.Wildcard certificates can be used across multiple InfluxDB instances on different servers.
Self-signed certificates
Self-signed certificates are not signed by a Certificate Authority (CA).Generate a self-signed certificate on your own machine.Unlike CA-signed certificates, self-signed certificates only provide cryptographic security to HTTPS requests.They do not allow clients to verify the identity of the InfluxDB server.With this certificate option, every InfluxDB instance requires a unique self-signed certificate.
Regardless of your certificate's type, InfluxDB supports certificates composed ofa private key file (.key
) and a signed certificate file (.crt
) file pair, as well as certificatesthat combine the private key file and the signed certificate file into a single bundled file (.pem
).
The following two sections outline how to set up HTTPS with InfluxDB using a CA-signedcertificate and using a self-signed certificateon Ubuntu 16.04.Steps may vary for other operating systems.
Set up HTTPS with a CA certificate
Step 1: Install the certificate
Place the private key file (.key
) and the signed certificate file (.crt
)or the single bundled file (.pem
) in the /etc/ssl
directory.
Step 2: Set certificate file permissions
Users running InfluxDB must have read permissions on the TLS certificate.
Note: You may opt to set up multiple users, groups, and permissions. Ultimately, make sure all users running InfluxDB have read permissions for the TLS certificate.
Run the following command to give InfluxDB read and write permissions on the certificate files.
Step 3: Review the TLS configuration settings
By default, InfluxDB supports the values for TLS ciphers
, min-version
, and max-version
listed in the Constants section of the Go crypto/tls
package documentation and depends on the version of Go used to build InfluxDB. You can configure InfluxDB to support a restricted list of TLS cipher suite IDs and versions.For more information, see Transport Layer Security (TLS) configuration settings.
Step 4: Enable HTTPS in the InfluxDB configuration file
HTTPS is disabled by default.Enable HTTPS in the [http]
section of the configuration file (/etc/influxdb/influxdb.conf
) by setting:
https-enabled
totrue
https-certificate
to/etc/ssl/.crt
(or to/etc/ssl/.pem
)https-private-key
to/etc/ssl/.key
(or to/etc/ssl/.pem
)
Step 5: Restart the InfluxDB service
Restart the InfluxDB process for the configuration changes to take effect:
Step 6: Verify the HTTPS setup
Verify that HTTPS is working by connecting to InfluxDB with the CLI tool:
A successful connection returns the following:
That's it! You've successfully set up HTTPS with InfluxDB.
Set up HTTPS with a self-signed certificate
Step 1: Generate a self-signed certificate
The following command generates a private key file (.key
) and a self-signedcertificate file (.crt
) which remain valid for the specified NUMBER_OF_DAYS
.It outputs those files to the InfluxDB database's default certificate file paths and gives themthe required permissions.
When you execute the command, it will prompt you for more information.You can choose to fill out that information or leave it blank;both actions generate valid certificate files.
Run the following command to give InfluxDB read and write permissions on the certificate.
Step 2: Review the TLS configuration settings
By default, InfluxDB supports the values for TLS ciphers
, min-version
, and max-version
listed in the Constants section of the Go crypto/tls
package documentation and depends on the version of Go used to build InfluxDB. You can configure InfluxDB to support a restricted list of TLS cipher suite IDs and versions. For more information, see Transport Layer Security (TLS) settings [tls]
.
Step 3: Enable HTTPS in the configuration file
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HTTPS is disabled by default.Enable HTTPS in the [http]
section of the configuration file (/etc/influxdb/influxdb.conf
) by setting:
https-enabled
totrue
https-certificate
to/etc/ssl/influxdb-selfsigned.crt
https-private-key
to/etc/ssl/influxdb-selfsigned.key
If setting up HTTPS for InfluxDB Enterprise, you also need to configure insecure TLS connections between both meta and data nodes in your cluster.Instructions are provided in the InfluxDB Enterprise HTTPS Setup guide.
Step 4: Restart InfluxDB
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Restart the InfluxDB process for the configuration changes to take effect:
Step 5: Verify the HTTPS setup
Verify that HTTPS is working by connecting to InfluxDB with the CLI tool:
A successful connection returns the following:
That's it! You've successfully set up HTTPS with InfluxDB.
Connect Telegraf to a secured InfluxDB instance
Connecting Telegraf to an InfluxDB instance that's usingHTTPS requires some additional steps.
In the Telegraf configuration file (/etc/telegraf/telegraf.conf
), edit the urls
setting to indicate https
instead of http
and change localhost
to therelevant domain name.If you're using a self-signed certificate, uncomment the insecure_skip_verify
setting and set it to true
.
Next, restart Telegraf and you're all set!
Support and feedback
Thank you for being part of our community!We welcome and encourage your feedback and bug reports for InfluxDB and this documentation.To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.
This page documents an earlier version of InfluxDB.InfluxDB v2.0 is the latest stable version.See the equivalent InfluxDB v2.0 documentation:InfluxDB key concepts.
Before diving into InfluxDB it's good to get acquainted with some of the key concepts of the database.This document provides a gentle introduction to those concepts and common InfluxDB terminology.We've provided a list below of all the terms we'll cover, but we recommend reading this document from start to finish to gain a more general understanding of our favorite time series database.
database | field key | field set |
field value | measurement | point |
retention policy | series | tag key |
tag set | tag value | timestamp |
Check out the glossary if you prefer the cold, hard facts.
Sample data
The next section references the data printed out below.The data is fictional, but represents a believable setup in InfluxDB.They show the number of butterflies and honeybees counted by two scientists (langstroth
and perpetua
) in two locations (location 1
and location 2
) over the time period from August 18, 2015 at midnight through August 18, 2015 at 6:12 AM.Assume that the data lives in a database called my_database
and are subject to the autogen
retention policy (more on databases and retention policies to come).
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Hint: Hover over the links for tooltips to get acquainted with InfluxDB terminology and the layout.
name:
time | ||||
---|---|---|---|---|
2015-08-18T00:00:00Z | 12 | 23 | 1 | langstroth |
2015-08-18T00:00:00Z | 1 | 30 | 1 | perpetua |
2015-08-18T00:06:00Z | 11 | 28 | 1 | langstroth |
2015-08-18T05:54:00Z | 2 | 11 | 2 | langstroth |
2015-08-18T06:00:00Z | 1 | 10 | 2 | langstroth |
2015-08-18T06:06:00Z | 8 | 23 | 2 | perpetua |
2015-08-18T06:12:00Z | 7 | 22 | 2 | perpetua |
Discussion
Now that you've seen some sample data in InfluxDB this section covers what it all means.
InfluxDB is a time series database so it makes sense to start with what is at the root of everything we do: time.In the data above there's a column called time
- all data in InfluxDB have that column.time
stores timestamps, and the timestamp shows the date and time, in RFC3339 UTC, associated with particular data.
The next two columns, called butterflies
and honeybees
, are fields.Fields are made up of field keys and field values.Field keys (butterflies
and honeybees
) are strings; the field key butterflies
tells us that the field values 12
-7
refer to butterflies and the field key honeybees
tells us that the field values 23
-22
refer to, well, honeybees.
Field values are your data; they can be strings, floats, integers, or Booleans, and, because InfluxDB is a time series database, a field value is always associated with a timestamp.The field values in the sample data are:
Requirements
To enable HTTPS with InfluxDB, you'll need an existing or new InfluxDB instanceand a Transport Layer Security (TLS) certificate (also known as a Secured Sockets Layer (SSL) certificate).
InfluxDB supports three types of TLS certificates:
Single domain certificates signed by a Certificate Authority
Single domain certificates provide cryptographic security to HTTPS requests and allow clients to verify the identity of the InfluxDB server.With this certificate option, every InfluxDB instance requires a unique single domain certificate.
Wildcard certificates signed by a Certificate Authority
Wildcard certificates provide cryptographic security to HTTPS requests and allow clients to verify the identity of the InfluxDB server.Wildcard certificates can be used across multiple InfluxDB instances on different servers.
Self-signed certificates
Self-signed certificates are not signed by a Certificate Authority (CA).Generate a self-signed certificate on your own machine.Unlike CA-signed certificates, self-signed certificates only provide cryptographic security to HTTPS requests.They do not allow clients to verify the identity of the InfluxDB server.With this certificate option, every InfluxDB instance requires a unique self-signed certificate.
Regardless of your certificate's type, InfluxDB supports certificates composed ofa private key file (.key
) and a signed certificate file (.crt
) file pair, as well as certificatesthat combine the private key file and the signed certificate file into a single bundled file (.pem
).
The following two sections outline how to set up HTTPS with InfluxDB using a CA-signedcertificate and using a self-signed certificateon Ubuntu 16.04.Steps may vary for other operating systems.
Set up HTTPS with a CA certificate
Step 1: Install the certificate
Place the private key file (.key
) and the signed certificate file (.crt
)or the single bundled file (.pem
) in the /etc/ssl
directory.
Step 2: Set certificate file permissions
Users running InfluxDB must have read permissions on the TLS certificate.
Note: You may opt to set up multiple users, groups, and permissions. Ultimately, make sure all users running InfluxDB have read permissions for the TLS certificate.
Run the following command to give InfluxDB read and write permissions on the certificate files.
Step 3: Review the TLS configuration settings
By default, InfluxDB supports the values for TLS ciphers
, min-version
, and max-version
listed in the Constants section of the Go crypto/tls
package documentation and depends on the version of Go used to build InfluxDB. You can configure InfluxDB to support a restricted list of TLS cipher suite IDs and versions.For more information, see Transport Layer Security (TLS) configuration settings.
Step 4: Enable HTTPS in the InfluxDB configuration file
HTTPS is disabled by default.Enable HTTPS in the [http]
section of the configuration file (/etc/influxdb/influxdb.conf
) by setting:
https-enabled
totrue
https-certificate
to/etc/ssl/.crt
(or to/etc/ssl/.pem
)https-private-key
to/etc/ssl/.key
(or to/etc/ssl/.pem
)
Step 5: Restart the InfluxDB service
Restart the InfluxDB process for the configuration changes to take effect:
Step 6: Verify the HTTPS setup
Verify that HTTPS is working by connecting to InfluxDB with the CLI tool:
A successful connection returns the following:
That's it! You've successfully set up HTTPS with InfluxDB.
Set up HTTPS with a self-signed certificate
Step 1: Generate a self-signed certificate
The following command generates a private key file (.key
) and a self-signedcertificate file (.crt
) which remain valid for the specified NUMBER_OF_DAYS
.It outputs those files to the InfluxDB database's default certificate file paths and gives themthe required permissions.
When you execute the command, it will prompt you for more information.You can choose to fill out that information or leave it blank;both actions generate valid certificate files.
Run the following command to give InfluxDB read and write permissions on the certificate.
Step 2: Review the TLS configuration settings
By default, InfluxDB supports the values for TLS ciphers
, min-version
, and max-version
listed in the Constants section of the Go crypto/tls
package documentation and depends on the version of Go used to build InfluxDB. You can configure InfluxDB to support a restricted list of TLS cipher suite IDs and versions. For more information, see Transport Layer Security (TLS) settings [tls]
.
Step 3: Enable HTTPS in the configuration file
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HTTPS is disabled by default.Enable HTTPS in the [http]
section of the configuration file (/etc/influxdb/influxdb.conf
) by setting:
https-enabled
totrue
https-certificate
to/etc/ssl/influxdb-selfsigned.crt
https-private-key
to/etc/ssl/influxdb-selfsigned.key
If setting up HTTPS for InfluxDB Enterprise, you also need to configure insecure TLS connections between both meta and data nodes in your cluster.Instructions are provided in the InfluxDB Enterprise HTTPS Setup guide.
Step 4: Restart InfluxDB
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Restart the InfluxDB process for the configuration changes to take effect:
Step 5: Verify the HTTPS setup
Verify that HTTPS is working by connecting to InfluxDB with the CLI tool:
A successful connection returns the following:
That's it! You've successfully set up HTTPS with InfluxDB.
Connect Telegraf to a secured InfluxDB instance
Connecting Telegraf to an InfluxDB instance that's usingHTTPS requires some additional steps.
In the Telegraf configuration file (/etc/telegraf/telegraf.conf
), edit the urls
setting to indicate https
instead of http
and change localhost
to therelevant domain name.If you're using a self-signed certificate, uncomment the insecure_skip_verify
setting and set it to true
.
Next, restart Telegraf and you're all set!
Support and feedback
Thank you for being part of our community!We welcome and encourage your feedback and bug reports for InfluxDB and this documentation.To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support.
This page documents an earlier version of InfluxDB.InfluxDB v2.0 is the latest stable version.See the equivalent InfluxDB v2.0 documentation:InfluxDB key concepts.
Before diving into InfluxDB it's good to get acquainted with some of the key concepts of the database.This document provides a gentle introduction to those concepts and common InfluxDB terminology.We've provided a list below of all the terms we'll cover, but we recommend reading this document from start to finish to gain a more general understanding of our favorite time series database.
database | field key | field set |
field value | measurement | point |
retention policy | series | tag key |
tag set | tag value | timestamp |
Check out the glossary if you prefer the cold, hard facts.
Sample data
The next section references the data printed out below.The data is fictional, but represents a believable setup in InfluxDB.They show the number of butterflies and honeybees counted by two scientists (langstroth
and perpetua
) in two locations (location 1
and location 2
) over the time period from August 18, 2015 at midnight through August 18, 2015 at 6:12 AM.Assume that the data lives in a database called my_database
and are subject to the autogen
retention policy (more on databases and retention policies to come).
Flux 1.8 Download
Hint: Hover over the links for tooltips to get acquainted with InfluxDB terminology and the layout.
name:
time | ||||
---|---|---|---|---|
2015-08-18T00:00:00Z | 12 | 23 | 1 | langstroth |
2015-08-18T00:00:00Z | 1 | 30 | 1 | perpetua |
2015-08-18T00:06:00Z | 11 | 28 | 1 | langstroth |
2015-08-18T05:54:00Z | 2 | 11 | 2 | langstroth |
2015-08-18T06:00:00Z | 1 | 10 | 2 | langstroth |
2015-08-18T06:06:00Z | 8 | 23 | 2 | perpetua |
2015-08-18T06:12:00Z | 7 | 22 | 2 | perpetua |
Discussion
Now that you've seen some sample data in InfluxDB this section covers what it all means.
InfluxDB is a time series database so it makes sense to start with what is at the root of everything we do: time.In the data above there's a column called time
- all data in InfluxDB have that column.time
stores timestamps, and the timestamp shows the date and time, in RFC3339 UTC, associated with particular data.
The next two columns, called butterflies
and honeybees
, are fields.Fields are made up of field keys and field values.Field keys (butterflies
and honeybees
) are strings; the field key butterflies
tells us that the field values 12
-7
refer to butterflies and the field key honeybees
tells us that the field values 23
-22
refer to, well, honeybees.
Field values are your data; they can be strings, floats, integers, or Booleans, and, because InfluxDB is a time series database, a field value is always associated with a timestamp.The field values in the sample data are:
In the data above, the collection of field-key and field-value pairs make up a field set.Here are all eight field sets in the sample data:
butterflies = 12 honeybees = 23
butterflies = 1 honeybees = 30
butterflies = 11 honeybees = 28
butterflies = 3 honeybees = 28
butterflies = 2 honeybees = 11
butterflies = 1 honeybees = 10
butterflies = 8 honeybees = 23
butterflies = 7 honeybees = 22
Fields are a required piece of the InfluxDB data structure - you cannot have data in InfluxDB without fields.It's also important to note that fields are not indexed.Queries that use field values as filters must scan all values that match the other conditions in the query.As a result, those queries are not performant relative to queries on tags (more on tags below).In general, fields should not contain commonly-queried metadata.
The last two columns in the sample data, called location
and scientist
, are tags.Tags are made up of tag keys and tag values.Both tag keys and tag values are stored as strings and record metadata.The tag keys in the sample data are location
and scientist
.The tag key location
has two tag values: 1
and 2
.The tag key scientist
also has two tag values: langstroth
and perpetua
.
In the data above, the tag set is the different combinations of all the tag key-value pairs.The four tag sets in the sample data are:
location = 1
,scientist = langstroth
location = 2
,scientist = langstroth
location = 1
,scientist = perpetua
location = 2
,scientist = perpetua
Tags are optional.You don't need to have tags in your data structure, but it's generally a good idea to make use of them because, unlike fields, tags are indexed.This means that queries on tags are faster and that tags are ideal for storing commonly-queried metadata.
Avoid using the following reserved keys:
_field
_measurement
time
If reserved keys are included as a tag or field key, the associated point is discarded.
Why indexing matters: The schema case study
Say you notice that most of your queries focus on the values of the field keys honeybees
and butterflies
:
SELECT * FROM 'census' WHERE 'butterflies' = 1
SELECT * FROM 'census' WHERE 'honeybees' = 23
Because fields aren't indexed, InfluxDB scans every value of butterflies
in the first query and every value of honeybees
in the second query before it provides a response.That behavior can hurt query response times - especially on a much larger scale.To optimize your queries, it may be beneficial to rearrange your schema such that the fields (butterflies
and honeybees
) become the tags and the tags (location
and scientist
) become the fields:
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name:
time | ||||
---|---|---|---|---|
2015-08-18T00:00:00Z | 1 | langstroth | 12 | 23 |
2015-08-18T00:00:00Z | 1 | perpetua | 1 | 30 |
2015-08-18T00:06:00Z | 1 | langstroth | 11 | 28 |
2015-08-18T05:54:00Z | 2 | langstroth | 2 | 11 |
2015-08-18T06:00:00Z | 2 | langstroth | 1 | 10 |
2015-08-18T06:06:00Z | 2 | perpetua | 8 | 23 |
2015-08-18T06:12:00Z | 2 | perpetua | 7 | 22 |
Now that butterflies
and honeybees
are tags, InfluxDB won't have to scan every one of their values when it performs the queries above - this means that your queries are even faster.
The measurement acts as a container for tags, fields, and the time
column, and the measurement name is the description of the data that are stored in the associated fields.Measurement names are strings, and, for any SQL users out there, a measurement is conceptually similar to a table.The only measurement in the sample data is census
.The name census
tells us that the field values record the number of butterflies
and honeybees
- not their size, direction, or some sort of happiness index.
A single measurement can belong to different retention policies.A retention policy describes how long InfluxDB keeps data (DURATION
) and how many copies of this data is stored in the cluster (REPLICATION
).If you're interested in reading more about retention policies, check out Database Management.
Replication factors do not serve a purpose with single node instances.
In the sample data, everything in the census
measurement belongs to the autogen
retention policy.InfluxDB automatically creates that retention policy; it has an infinite duration and a replication factor set to one.
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Now that you're familiar with measurements, tag sets, and retention policies, let's discuss series.In InfluxDB, a series is a collection of points that share a measurement, tag set, and field key.The data above consist of eight series:
Series number | Measurement | Tag set | Field key |
---|---|---|---|
series 1 | census | location = 1 ,scientist = langstroth | butterflies |
series 2 | census | location = 2 ,scientist = langstroth | butterflies |
series 3 | census | location = 1 ,scientist = perpetua | butterflies |
series 4 | census | location = 2 ,scientist = perpetua | butterflies |
series 5 | census | location = 1 ,scientist = langstroth | honeybees |
series 6 | census | location = 2 ,scientist = langstroth | honeybees |
series 7 | census | location = 1 ,scientist = perpetua | honeybees |
series 8 | census | location = 2 ,scientist = perpetua | honeybees |
Understanding the concept of a series is essential when designing your schema and when working with your data in InfluxDB.
A point represents a single data record that has four components: a measurement, tag set, field set, and a timestamp. A point is uniquely identified by its series and timestamp.
For example, here's a single point:
The point in this example is part of series 3 and 7 and defined by the measurement (census
), the tag set (location = 1
, scientist = perpetua
), the field set (butterflies = 1
, honeybees = 30
), and the timestamp 2015-08-18T00:00:00Z
.
All of the stuff we've just covered is stored in a database - the sample data are in the database my_database
.An InfluxDB database is similar to traditional relational databases and serves as a logical container for users, retention policies, continuous queries, and, of course, your time series data.See Authentication and Authorization and Continuous Queries for more on those topics.
Databases can have several users, continuous queries, retention policies, and measurements.InfluxDB is a schemaless database which means it's easy to add new measurements, tags, and fields at any time.It's designed to make working with time series data awesome.
You made it!You've covered the fundamental concepts and terminology in InfluxDB.If you're just starting out, we recommend taking a look at Getting Started and the Writing Data and Querying Data guides.May our time series database serve you well 🕔.
Support and feedback
Thank you for being part of our community!We welcome and encourage your feedback and bug reports for InfluxDB and this documentation.To find support, the following resources are available:
InfluxDB Cloud and InfluxDB Enterprise customers can contact InfluxData Support. Adobe photoshop lightroom 5 serial number.txt.