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Yandex DataLens
  • Getting started
  • Use cases
    • All use cases
    • Visualizing data from a CSV file
    • Visualizing data from a ClickHouse database
    • Visualizing data from Yandex.Metriсa
    • Visualizing data from Yandex.Metrica Logs API
    • Publishing a chart with a map from a CSV file to DataLens Public
    • Visualizing data from AppMetrica
    • Visualizing geodata from a CSV file
  • Step-by-step instructions
    • All instructions
    • Working with connections
      • Creating a ClickHouse connection
      • Creating a connection to a CSV file
      • Creating a MySQL connection
      • Creating a PostgreSQL connection
      • Creating an MS SQL Server connection
      • Creating a Yandex.Metrica API connection
      • Creating a Yandex.Metrica Logs API connection
      • Creating an AppMetrica connection
      • Managing connection access
    • Working with datasets
      • Create dataset
      • Creating a data field
      • Creating a calculated data field
      • Updating fields in datasets
      • 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 column chart
      • Creating a bar chart
      • Creating a map
      • Creating a table
      • Creating a pivot table
      • Publishing a chart
      • Managing chart access
    • Working with dashboards
      • Creating dashboards
      • Adding charts to dashboards
      • Adding selectors to dashboards
      • Publishing dashboards
      • Managing dashboard access
    • Working with permissions
      • Granting permissions
      • Deleting permissions
      • Request permissions
  • Concepts
    • Overview
    • Connections
    • Data types
    • Datasets
      • Overview
      • Data model
      • Dataset settings
    • Charts
    • Dashboards
    • Using Markdown in DataLens
    • DataLens Public
    • Calculated fields
    • Marketplace
    • Backups in DataLens
    • Quotas and limits
  • 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
    • Date/Time functions
      • Overview
      • DATEADD
      • DATEPART
      • DATETRUNC
      • DAY
      • DAYOFWEEK
      • HOUR
      • MINUTE
      • MONTH
      • NOW
      • SECOND
      • TODAY
      • WEEK
      • YEAR
    • Geographical functions
      • Overview
      • GEOCODE
      • GEOINFO
      • TOPONYM_TO_GEOPOINT
      • TOPONYM_TO_GEOPOLYGON
    • Logical functions
      • Overview
      • CASE
      • IF
      • IFNULL
      • ISNULL
      • ZN
    • Text markup functions
      • Overview
      • BOLD
      • ITALIC
      • MARKUP
      • URL
    • 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
    • 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
      • MAVG
      • MAX
      • MCOUNT
      • MIN
      • MMAX
      • MMIN
      • MSUM
      • RANK
      • RANK_DENSE
      • RANK_PERCENTILE
      • RANK_UNIQUE
      • RAVG
      • RCOUNT
      • RMAX
      • RMIN
      • RSUM
      • SUM
      • SUM_IF
    • Function Availability
  • Questions and answers
  1. Step-by-step instructions
  2. Working with datasets
  3. Managing access to data rows

Managing access to data rows in a dataset

    To configure permissions for a data row value:

    1. Open the dataset.

    2. On the right of the row, click and select Permissions.

    3. Enter the value of the field and users in the specified format and click Save.

      '[value 1]': [user 1], [user 2]
      '[value 2]': [user 3]
      

      For example, to configure access to the first-company value for the Company name field:

      'first-company': login-to-access-your-row-data@yandex.ru
      
    4. Save the dataset.

    Warning

    If you have set permissions at the row level, make sure to apply the Execute permission for the dataset. In this case, nobody can edit row permissions or open the data preview window.

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