Main Content

datastore

Create datastore for large collections of data

collapse all in page

Syntax

ds = datastore(location)
ds = datastore(location,Name,Value)

Description

example

ds = datastore(location) creates a datastore from the collection of data specified by location. A datastore is a repository for collections of data that are too large to fit in memory. After creating ds, you can read and process the data.

example

ds = datastore(location,Name,Value) specifies additional parameters for ds using one or more name-value pair arguments. For example, you can create a datastore for image files by specifying 'Type','image'.

Examples

collapse all

Create a datastore associated with the sample file airlinesmall.csv. This file contains airline data from the years 1987 through 2008.

To manage the import of missing data in numeric columns, use the "TreatAsMissing" and "MissingValue" name-value arguments. Replace every instance of "NA" with a 0 in the imported data by specifying the value of "TreatAsMissing" as "NA" and the value of "MissingValue" as 0. 

ds = datastore("airlinesmall.csv","TreatAsMissing","NA",...
               "MissingValue",0)
ds = 
  TabularTextDatastore with properties:

                      Files: {
                             'B:\matlab\toolbox\matlab\demos\airlinesmall.csv'
                             }
                    Folders: {
                             'B:\matlab\toolbox\matlab\demos'
                             }
               FileEncoding: 'UTF-8'
   AlternateFileSystemRoots: {}
         VariableNamingRule: 'modify'
          ReadVariableNames: true
              VariableNames: {'Year', 'Month', 'DayofMonth' ... and 26 more}
             DatetimeLocale: en_US

  Text Format Properties:
             NumHeaderLines: 0
                  Delimiter: ','
               RowDelimiter: '\r\n'
             TreatAsMissing: 'NA'
               MissingValue: 0

  Advanced Text Format Properties:
            TextscanFormats: {'%f', '%f', '%f' ... and 26 more}
                   TextType: 'char'
         ExponentCharacters: 'eEdD'
               CommentStyle: ''
                 Whitespace: ' \b\t'
    MultipleDelimitersAsOne: false

  Properties that control the table returned by preview, read, readall:
      SelectedVariableNames: {'Year', 'Month', 'DayofMonth' ... and 26 more}
            SelectedFormats: {'%f', '%f', '%f' ... and 26 more}
                   ReadSize: 20000 rows
                 OutputType: 'table'
                   RowTimes: []

  Write-specific Properties:
     SupportedOutputFormats: ["txt"    "csv"    "xlsx"    "xls"    "parquet"    "parq"]
        DefaultOutputFormat: "txt"

datastore creates a TabularTextDatastore.

Create a datastore containing all .tif files in the MATLAB® path and its subfolders. 

ds = datastore(fullfile(matlabroot,"toolbox","matlab"),...
"IncludeSubfolders",true,"FileExtensions",".tif","Type","image")
ds = ImageDatastore with properties:
                       Files: {
                              'H:\matlab\toolbox\matlab\demos\example.tif';
                              'H:\matlab\toolbox\matlab\imagesci\corn.tif'
                              }
                     Folders: {
                              'H:\matlab\toolbox\matlab'
                              }
    AlternateFileSystemRoots: {}
                    ReadSize: 1
                      Labels: {}
      SupportedOutputFormats: ["png"    "jpg"    "jpeg"    "tif"    "tiff"]
         DefaultOutputFormat: "png"
                     ReadFcn: @readDatastoreImage

Input Arguments

collapse all

Files or folders included in the datastore, specified as a FileSet object, as file paths, or as a DsFileSet object.

  • FileSet object — You can specify location as a FileSet object. Specifying the location as a FileSet object leads to a faster construction time for datastores compared to specifying a path or DsFileSet object. For more information, see matlab.io.datastore.FileSet.

  • File path — You can specify a single file path as a character vector or string scalar. You can specify multiple file paths as a cell array of character vectors or a string array.

  • DsFileSet object — You can specify a DsFileSet object. For more information, see matlab.io.datastore.DsFileSet.

Files or folders may be local or remote:

  • Local files or folders — Specify local paths to files or folders. If the files are not in the current folder, then specify full or relative paths. Files within subfolders of the specified folder are not automatically included in the datastore. You can use the wildcard character (*) when specifying the local path. This character specifies that the datastore include all matching files or all files in the matching folders.

  • Remote files or folders — Specify full paths to remote files or folders as a uniform resource locator (URL) of the form hdfs:///path_to_file. For more information, see Work with Remote Data.

When you specify a folder, the datastore includes only files with supported file formats and ignores files with any other format. To specify a custom list of file extensions to include in your datastore, see the FileExtensions property.

For KeyValueDatastore, the files must be MAT-files or Sequence files generated by the mapreduce function. MAT-files must be in a local file system or in a network file system. Sequence files can be in a local, network, or HDFS™ file system. For DatabaseDatastore, the location argument need not be files. For more information, see DatabaseDatastore (Database Toolbox).

Example: 'file1.csv'

Example: '../dir/data/file1.jpg'

Example: {'C:\dir\data\file1.xls','C:\dir\data\file2.xlsx'}

Example: 'C:\dir\data\*.mat'

Example: 'hdfs:///data/file1.txt'

Name-Value Arguments

Specify optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

Example: 'FileExtensions',{'.jpg','.tif'} includes all extensions with a .jpg or .tif extension for an ImageDatastore object.

Type of datastore, specified as the comma-separated pair consisting of 'Type' and one of the following:

Value of 'Type'Description
'tabulartext'Text files containing tabular data. The encoding of the data must be ASCII or UTF-8.
'image'Image files in a format such as JPEG or PNG. Acceptable files include imformats formats.
'spreadsheet'Spreadsheet files containing one or more sheets.
'keyvalue'Key-value pair data contained in MAT-files or Sequence files with data generated by mapreduce.
'file'Custom format files, which require a specified read function to read the data. For more information, see FileDatastore.
'tall'MAT-files or Sequence files produced by the write function of the tall data type. For more information see, TallDatastore.
'parquet'Parquet files containing column-oriented data. For more information see, ParquetDatastore.
'database'Data stored in database. Requires Database Toolbox™. Requires specification of additional input argument when using the type parameter. For more information, see DatabaseDatastore (Database Toolbox).

  • If there are multiple types that support the format of the files, then use the 'Type' argument to specify a datastore type.

  • If you do not specify a value for 'Type', then datastore automatically determines the appropriate type of datastore to create based on the extensions of the files.

Data Types: char | string

Include subfolders within a folder, specified as the comma-separated pair consisting of 'IncludeSubfolders' and true (1) or false (0). Specify true to include all files and subfolders within each folder or false to include only the files within each folder.

When you do not specify 'IncludeSubfolders', then the default value is false.

The 'IncludeSubfolders' name-value pair is only valid when creating these objects:

  • TabularTextDatastore

  • ImageDatastore

  • SpreadsheetDatastore

  • FileDatastore

  • KeyValueDatastore

  • ParquetDatastore

Example: 'IncludeSubfolders',true

Data Types: logical | double

Extensions of files, specified as the comma-separated pair consisting of 'FileExtensions' and a character vector, cell array of character vectors, string scalar, or string array. When specifying 'FileExtensions', also specify 'Type'. You can use the empty quotes '' to represent files without extensions.

If 'FileExtensions' is not specified, then datastore automatically includes all supported file extensions depending on the datastore type. If you want to include unsupported extensions, then specify each extension you want to include individually.

  • For TabularTextDatastore objects, supported extensions include .txt, .csv, .dat, .dlm, .asc, .text, and no extension.

  • For ImageDatastore objects, supported extensions include all imformats extensions.

  • For SpreadsheetDatastore objects, supported extensions include .xls, .xlsx, .xlsm, .xltx, and .xltm.

  • For TallDatastore objects, supported extensions include .mat and .seq.

  • For ParquetDatastore objects, supported extensions include .parquet and .parq.

The 'FileExtensions' name-value pair is only valid when creating these objects:

  • TabularTextDatastore

  • ImageDatastore

  • SpreadsheetDatastore

  • FileDatastore

  • KeyValueDatastore

  • ParquetDatastore

Example: 'FileExtensions','.jpg'

Example: 'FileExtensions',{'.txt','.text'}

Data Types: char | cell | string

Alternate file system root paths, specified as the name-value argument consisting of "AlternateFileSystemRoots" and a string vector or a cell array. Use "AlternateFileSystemRoots" when you create a datastore on a local machine, but need to access and process the data on another machine (possibly of a different operating system). Also, when processing data using the Parallel Computing Toolbox™ and the MATLAB® Parallel Server™, and the data is stored on your local machines with a copy of the data available on different platform cloud or cluster machines, you must use "AlternateFileSystemRoots" to associate the root paths.

  • To associate a set of root paths that are equivalent to one another, specify "AlternateFileSystemRoots" as a string vector. For example,

    ["Z:\datasets","/mynetwork/datasets"]

  • To associate multiple sets of root paths that are equivalent for the datastore, specify "AlternateFileSystemRoots" as a cell array containing multiple rows where each row represents a set of equivalent root paths. Specify each row in the cell array as either a string vector or a cell array of character vectors. For example:

    • Specify "AlternateFileSystemRoots" as a cell array of string vectors.

      {["Z:\datasets", "/mynetwork/datasets"];...
 ["Y:\datasets", "/mynetwork2/datasets","S:\datasets"]}

    • Alternatively, specify "AlternateFileSystemRoots" as a cell array of cell array of character vectors.

      {{'Z:\datasets','/mynetwork/datasets'};...
 {'Y:\datasets', '/mynetwork2/datasets','S:\datasets'}}

The value of "AlternateFileSystemRoots" must satisfy these conditions:

  • Contains one or more rows, where each row specifies a set of equivalent root paths.

  • Each row specifies multiple root paths and each root path must contain at least two characters.

  • Root paths are unique and are not subfolders of one another.

  • Contains at least one root path entry that points to the location of the files.

For more information, see Set Up Datastore for Processing on Different Machines or Clusters.

Example: ["Z:\datasets","/mynetwork/datasets"]

Data Types: string | cell

Output data type of text variables, specified as the comma-separated pair consisting of 'TextType' and either 'char' or 'string'. If the output table from the read, readall, or preview functions contains text variables, then 'TextType' specifies the data type of those variables for TabularTextDatastore and SpreadsheetDatastore objects only. If 'TextType' is 'char', then the output is a cell array of character vectors. If 'TextType' is 'string', then the output has type string.

Data Types: char | string

Type for imported date and time data, specified as the comma-separated pair consisting of 'DatetimeType' and one of these values: 'datetime' or 'text'. The 'DatetimeType' argument only applies when creating a TabularTextDatastore object.

ValueType for Imported Date and Time Data
'datetime'

MATLAB datetime data type

For more information, see datetime.

'text'

If 'DatetimeType' is specified as 'text', then the type for imported date and time data depends on the value specified in the 'TextType' parameter:

  • If 'TextType' is 'char', then the datastore returns dates as a cell array of character vectors.

  • If 'TextType' is 'string', then the datastore returns dates as an array of strings.

Example: 'DatetimeType','datetime'

Data Types: char | string

Output data type of duration data from text files, specified as the comma-separated pair consisting of 'DurationType' and either 'duration' or 'text'.

ValueType for Imported Duration Data
'duration'

MATLAB duration data type

For more information, see duration.

'text'

If 'DurationType' is specified as 'text', then the type for imported duration data depends on the value specified in the 'TextType' parameter:

  • If 'TextType' is 'char', then the importing function returns duration data as a cell array of character vectors.

  • If 'TextType' is 'string', then the importing function returns duration data as an array of strings.

Data Types: char | string | datetime

Flag to preserve variable names, specified as either "modify" or "preserve".

  • "modify" — Convert invalid variable names (as determined by the isvarname function) to valid MATLAB identifiers.

  • "preserve" — Preserve variable names that are not valid MATLAB identifiers such as variable names that include spaces and non-ASCII characters.

Starting in R2019b, variable names and row names can include any characters, including spaces and non-ASCII characters. Also, they can start with any characters, not just letters. Variable and row names do not have to be valid MATLAB identifiers (as determined by the isvarname function). To preserve these variable names and row names, set the value of VariableNamingRule to "preserve". Variable names are not refreshed when the value of VariableNamingRule is changed from "modify" to "preserve".

Data Types: char | string

In addition to these name-value pairs, you also can specify any of the properties of the following objects as name-value pairs, except for the Files property:

Output Arguments

collapse all

Datastore for a collection of data, returned as one of these objects: TabularTextDatastore, ImageDatastore, SpreadsheetDatastore, KeyValueDatastore, FileDatastore, TallDatastore, ParquetDatastore, or DatabaseDatastore. The type of the datastore depends on the type of files or the location argument. For more information, click the datastore name in the following table:

Type Output
Text filesTabularTextDatastore
Image filesImageDatastore
Spreadsheet filesSpreadsheetDatastore
MAT-files or Sequence files produced by mapreduceKeyValueDatastore
Custom format filesFileDatastore
MAT-files or Sequence files produced by the write function of the tall data type. TallDatastore
Parquet FilesParquetDatastore
DatabaseDatabaseDatastore (Database Toolbox)

For each of these datastore types, the Files property is a cell array of character vectors. Each character vector is an absolute path to a file resolved by the location argument.

Version History

Introduced in R2014b

See Also

| | | | | | | | | | |

Topics