Perform a basic SQL query
InfluxDB Clustered is currently only available to a limited group of InfluxData customers. If interested in being part of the limited access group, please contact the InfluxData Sales team.
The InfluxDB SQL implementation is powered by the Apache Arrow DataFusion query engine which provides an SQL syntax similar to other relational query languages.
A basic SQL query that queries data from InfluxDB most commonly includes the following clauses:* Required
SELECT: Specify fields, tags, and calculations to output from a measurement or use the wildcard alias (
*) to select all fields and tags from a measurement.
FROM: Specify the measurement to query data from.
WHERE: Only return data that meets the specified conditions–for example, falls within a time range, contains specific tag values, or contains a field value outside a specified range.
If at least one row satisfies the query, InfluxDB Clustered returns row data in the query result set.
An SQL query result set includes columns listed in the query’s
Basic query examples
- Query data within time boundaries
- Query data without time boundaries
- Query specific fields and tags
- Query fields based on tag values
- Query points based on field values
- Alias queried fields and tags
The following examples use the sample data written in the Get started writing data guide. To run the example queries and return results, write the sample data to your InfluxDB Clustered database before running the example queries.
Query data within time boundaries
- Use the
SELECTclause to specify what tags and fields to return. To return all tags and fields, use the wildcard alias (
- Specify the measurement to query in the
- Specify time boundaries in the
WHEREclause. Include time-based predicates that compare the value of the
timecolumn to a timestamp. Use the
ANDlogical operator to chain multiple predicates together.
Query time boundaries can be relative or absolute.
Query data without time boundaries
To query data without time boundaries, do not include any time-based predicates
Querying data without time bounds can return an unexpected amount of data. The query may take a long time to complete and results may be truncated.
SELECT * FROM home
Query specific fields and tags
To query specific fields, include them in the
If querying multiple fields or tags, comma-delimit each.
If a field or tag key includes special characters or spaces or is case-sensitive,
wrap the key in double-quotes.
SELECT time, room, temp, hum FROM home
Query fields based on tag values
- Include the fields you want to query and the tags you want to base conditions
on in the
- Include predicates in the
WHEREclause that compare the tag identifier to a string literal. Use logical operators to chain multiple predicates together and apply multiple conditions.
SELECT * FROM home WHERE room = 'Kitchen'
Query points based on field values
- In the
SELECTclause, include fields you want to query.
- In the
WHEREclause, include predicates that compare the field identifier to a value or expression. Use logical operators (
OR) to chain multiple predicates together and apply multiple conditions.
SELECT co, time FROM home WHERE co >= 10 OR co <= -10
Alias queried fields and tags
To alias or rename fields and tags that you query, pass a string literal after
the field or tag identifier in the
You can use the
AS clause to define the alias, but it isn’t necessary.
The following queries are functionally the same:
SELECT temp 'temperature', hum 'humidity' FROM home
SELECT temp AS 'temperature', hum AS 'humidity' FROM home
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