Yandex Cloud
  • Services
  • Solutions
  • Why Yandex Cloud
  • Pricing
  • Documentation
  • Contact us
Get started
Language / Region
© 2022 Yandex.Cloud LLC
Yandex DataLens
  • Getting started
  • Practical guidelines
    • All tutorials
    • Visualizing data from a CSV file
    • Creating and publishing a chart with a map of Moscow from a CSV file
    • Analyzing a retail chain's sales from a ClickHouse database
    • Analyzing public data on road accidents in Russia
    • Analyzing sales and locations of pizzerias based on data from Clickhouse DB and Marketplace
    • Web analytics with a connection to Yandex Metrica
    • Web analytics with funnels and cohorts calculated based on Yandex Metrica data
    • Mobile app analytics based on AppMetrica data
    • Analyzing Yandex Music podcast statistics (for podcasters)
    • Visualizing data with a QL chart
    • Building customer journey charts based on AppMetrica data
  • Concepts
    • Service overview
    • Connection
    • Data types
    • Datasets
      • Overview
      • Data model
      • Dataset settings
    • Charts
      • Overview
      • Chart types
      • Chart settings
    • Dashboards
    • Combining data
    • Using Markdown in DataLens
    • DataLens Public
    • Aggregations in DataLens
    • Calculated fields
      • Overview
      • Formula syntax
    • Marketplace
    • Backups
    • Caching
    • Quotas and limits
    • Organizations in DataLens
  • Step-by-step instructions
    • All instructions
    • Working with connections
      • Creating a ClickHouse connection
      • Creating a connection to a CSV file
      • Creating a Google Sheets connection
      • Creating a MySQL connection
      • Creating a PostgreSQL connection
      • Creating an MS SQL Server connection
      • Creating an Oracle Database connection
      • Creating a YDB connection
      • Creating a Yandex Metrica API connection
      • Creating an AppMetrica connection
      • Creating a Yandex Cloud Billing connection
      • Creating a Greenplum connection
      • Managing connection access
    • Working with datasets
      • Creating a dataset
      • Combining data from multiple tables
      • Combining data from multiple CSV connections
      • Creating a data field
      • Creating a calculated data field
      • Creating a default filter for new charts
      • Updating fields in datasets
      • Describing a dataset via a source SQL query
      • Dataset materialization
      • Managing dataset access
      • Managing access to data rows
    • Working with charts
      • Creating a line chart
      • Creating an area chart
      • Creating a pie chart
      • Creating a ring chart
      • Creating a column chart
      • Creating a bar chart
      • Creating a scatter chart
      • Creating a map
      • Creating a table
      • Creating a pivot table
      • Creating an indicator
      • Creating a tree chart
      • Creating a QL chart
      • Creating a multi-dataset chart
      • Adding a hierarchy
      • Configuring the navigator
      • Publishing a chart
      • Managing chart access
      • Adding guid as a parameter
    • Working with dashboards
      • Creating dashboards
      • Adding charts to dashboards
      • Adding selectors to dashboards
      • Creating an alias
      • Deleting an alias field
      • Publishing dashboards
      • Managing dashboard access
      • Dashboard auto-update
    • Working with permissions
      • Granting permissions
      • Deleting permissions
      • Request permissions
    • Working with DataLens Marketplace
      • Adding a product from Marketplace
      • Removing a product from Marketplace
      • Creating and using a connector (for partners)
    • Working with organizations
      • Switching between DataLens instances
  • Access management
    • Managing access to DataLens
    • Managing access at the data row level
  • Pricing policy
  • Function reference
    • All Functions
    • Aggregate functions
      • Overview
      • ALL_CONCAT
      • ANY
      • ARG_MAX
      • ARG_MIN
      • AVG
      • AVG_IF
      • COUNT
      • COUNTD
      • COUNTD_APPROX
      • COUNTD_IF
      • COUNT_IF
      • MAX
      • MEDIAN
      • MIN
      • QUANTILE
      • QUANTILE_APPROX
      • STDEV
      • STDEVP
      • SUM
      • SUM_IF
      • TOP_CONCAT
      • VAR
      • VARP
    • Array functions
      • Overview
      • ARRAY
      • ARR_STR
      • CONTAINS
      • COUNT_ITEM
      • GET_ITEM
      • SLICE
      • STARTSWITH
      • UNNEST
    • Date/Time functions
      • Overview
      • DATEADD
      • DATEPART
      • DATETRUNC
      • DAY
      • DAYOFWEEK
      • HOUR
      • MINUTE
      • MONTH
      • NOW
      • QUARTER
      • SECOND
      • TODAY
      • WEEK
      • YEAR
    • Geographical functions
      • Overview
      • GEOCODE
      • GEOINFO
      • TOPONYM_TO_GEOPOINT
      • TOPONYM_TO_GEOPOLYGON
    • Logical functions
      • Overview
      • CASE
      • IF
      • IFNULL
      • ISNULL
      • ZN
    • Mathematical functions
      • Overview
      • ABS
      • ACOS
      • ASIN
      • ATAN
      • ATAN2
      • CEILING
      • COS
      • COT
      • DEGREES
      • DIV
      • EXP
      • FLOOR
      • GREATEST
      • LEAST
      • LN
      • LOG
      • LOG10
      • PI
      • POWER
      • RADIANS
      • ROUND
      • SIGN
      • SIN
      • SQRT
      • SQUARE
      • TAN
    • Operators
      • Overview
      • AND
      • Addition and concatenation (+)
      • BETWEEN
      • Comparison
      • Division (/)
      • IN
      • IS FALSE
      • IS TRUE
      • LIKE
      • Modulo (%)
      • Multiplication (*)
      • NOT
      • Negation (-)
      • OR
      • Power (^)
      • Subtraction (-)
    • String functions
      • Overview
      • ASCII
      • CHAR
      • CONCAT
      • CONTAINS
      • ENDSWITH
      • FIND
      • ICONTAINS
      • IENDSWITH
      • ISTARTSWITH
      • LEFT
      • LEN
      • LOWER
      • LTRIM
      • REGEXP_EXTRACT
      • REGEXP_EXTRACT_NTH
      • REGEXP_MATCH
      • REGEXP_REPLACE
      • REPLACE
      • RIGHT
      • RTRIM
      • SPACE
      • SPLIT
      • STARTSWITH
      • SUBSTR
      • TRIM
      • UPPER
      • UTF8
    • Text markup functions
      • Overview
      • BOLD
      • ITALIC
      • MARKUP
      • URL
    • Time series functions
      • Overview
      • AGO
      • AT_DATE
    • Type conversion functions
      • Overview
      • BOOL
      • DATE
      • DATETIME
      • DATETIME_PARSE
      • DATE_PARSE
      • DB_CAST
      • FLOAT
      • GEOPOINT
      • GEOPOLYGON
      • INT
      • STR
    • Window functions
      • Overview
      • AVG
      • AVG_IF
      • COUNT
      • COUNT_IF
      • FIRST
      • LAG
      • LAST
      • MAVG
      • MAX
      • MCOUNT
      • MIN
      • MMAX
      • MMIN
      • MSUM
      • RANK
      • RANK_DENSE
      • RANK_PERCENTILE
      • RANK_UNIQUE
      • RAVG
      • RCOUNT
      • RMAX
      • RMIN
      • RSUM
      • SUM
      • SUM_IF
    • Function Availability
  • Tutorial on functions
    • Aggregate functions
    • Window functions
    • LOD expressions and filtering in aggregate functions
  • Public materials
    • Educational projects
    • Webinars and conferences
    • Articles and publications
    • Public dashboards and charts
  • Troubleshooting
    • Questions and answers
    • DataLens errors
  1. Concepts
  2. Caching

Caching

Written by
Yandex.Cloud
  • Caching in DataLens Public
  • Purge cache conditions

Cache stores frequently requested data and provides quick access to it.

DataLens caches the results of the user's query, so when the data in the source changes, dashboards and charts may not be updated immediately.

The default cache lifetime depends on how the dataset accesses the data source:

  • Direct access datasets: 5 minutes.
  • Materialized datasets: 60 minutes with auto-renewal.
    Example of auto-renewal: after the first user request, the data was written to the cache for 60 minutes. After 50 minutes, with a new request, the data is retrieved from the cache, and the cache lifetime becomes 60 minutes.

The user can change the cache lifetime in the connection settings.

Caching in DataLens Public

The default cache lifetime depends on how the dataset accesses the data source:

  • Direct access datasets: 5 minutes.
  • Materialized datasets: 6 hours with auto-renewal.
    Example of auto-renewal: After the first user request, the data was written to the cache for 6 hours. After 5 hours 50 minutes, a new request is sent, the data is retrieved from the cache, and the cache lifetime becomes 6 hours.

The user can change the cache lifetime in the connection settings.

Purge cache conditions

The cache is purged in the following events:

  • Re-materialization.
  • Connection replacement.
  • SQL query update when generating a dataset.

Was the article helpful?

Language / Region
© 2022 Yandex.Cloud LLC
In this article:
  • Caching in DataLens Public
  • Purge cache conditions