Input Data Tool

Use the Input Data tool to bring data into your workflow by connecting to a file or database.

  1. Click the Input Data tool in the tool palette and drag it to the workflow canvas area.
  2. In the Configuration window, click the Connect a File or Database drop-down arrow.

Alteryx displays the Data connections window. Configure your data connection using one of the following: Recent, Saved, Files, Data Sources, or Gallery.

An Output Data tool can be converted to an Input Data Tool.

Select a recent connection. Recent connections contains recently configured files and data connections.

Click Clear list to delete recent connections.

Select a Saved connection. To rename and edit your connections, use Manage Data Connections.

To connect to a file in a local or network directory, do one of the following:

  • In File connections, click Select file to browse to a file,
  • Drag and drop a file onto File connections,
  • In All supported file types, click a file type extension to browse to a file of that type, or
  • Close Data connections and drag a file directly onto the canvas.

In the file browse window, type a wildcard as part of the file path.

Consider a case where you have multiple data files with both:

  • Multiple files are read using the wildcard format such as *.csv or 2019*.csv in a single Input Tool, as long as the files all contain the same number of fields, and that the data types for each field are the same. Designer will set the number of fields and the file types based on the first file read. Any subsequent files that do not match will be skipped and a warning will be displayed. It is not possible to control which file will be read first when using a wildcard syntax like *.csv; it is up to the system which file will be designated as the first.
  • similar names in the same directory

Type the file name they have in common and add an * to substitute all subsequent characters or a ? to substitute one character. Remember to include the file extension that is common to all files when specifying the file names.

This path brings in every .csv file contained within the data\datafiles directory with a file name that begins with ABCD.

data\datafiles\ABCD*.csv

It would bring in ABCD_4.csv and ABCD_012.csv.

This path brings in every .csv file contained within the data\datafiles directory with a file name that begins with ABCD_ + 1 character.

data\datafiles\ABCD_?.csv

On Select Excel Input, select one of the Excel inputs:

  • Select a sheet to choose from the sheets available in the excel file.
  • Select a named range to choose from the named ranges available in the excel file.
  • Import only the list of sheet names to create output with a single column containing sheet names as values.

    None of the related data is output when this option is selected.

Known issues

The Access driver reads !!! as ### and both ,,, and ... as ___. This can impact the sheet names and named ranges in an Excel file pulled into Designer.

See Gzip File Support and Zip File Support for more information.

When you select a .gz, .tgz or .zip file, the Select file type to extract window displays. Use the drop down to select the type of files to use.

Select files: Click the check box next to the file you want to extract.

To see all files in the Gzip or Zip file, including files that are not supported by Alteryx, select Other Files under Select file type to extract. Select a file type to Parse other files as.

Important

Gzip and Zip files are not supported in Alteryx Gallery.

Alteryx Calgary .cydb
Alteryx Database .yxdb
Alteryx Spatial Zip .sz
Avro .avro
Comma Separated Values .csv
dBase .dbf
ESRI Personal GeoDatabase .mdb
ESRI Shapefile .shp
Extensible Markup Language .xml
Flat ASCII .flat
GIS .grc, .grd
Google Earth/Google Maps .kml
Gzip .gz, .tgz
IBM SPSS .sav
JSON .json
MapInfo Professional Interchange Format .mif
MapInfo Professional Table .tab
Microsoft Access 2000-2003 .mdb
Microsoft Access 2007, 2010, 2013, 2016 .accdb
Microsoft Excel Binary .xlsb
Microsoft Excel 1997-2003 .xls
Microsoft Excel .xlsx
Microsoft Excel Macro-Enabled .xlsm
QlikView .qvx
SAS .sas7bdat
SQLite .sqlite
SRC Geography .geo
Text .txt, .asc
Zip .zip

Data sources displays supported and frequently used data sources.

  • Tools - If you select Quick connect for a tool you have not installed, a browser opens to the Alteryx gallery for you to download and install that tool. Read the instructions on the page carefully. Once the tool is installed, the Input Data tool will change on the canvas to the tool you selected from the Data sources tab.
  • Data sources
    • ODBC launches the ODBC connection window that displays a filtered list of DSNs on the system that use that particular driver.
    • OleDB launches the native Windows OleDB manager.
    • OCI launches the Native Oracle OCI connection manager. From here, select the Net Service Name as defined in your tnsnames.ora file that you want to use for this connection as well as the username and password credentials.
    • Bulk opens a special dialog allowing you set up a bulk connection for the selected connection type.
    • Quick connect: For SQL or Oracle Quick connect - You can either use a pre-existing saved connection, or you can create a new saved connection. Refer to the following for details:
    • All other Quick connections are connections using another tool.

Click Quick connect under HDFS to create a new Hadoop database connection.

Alteryx connects to a Hadoop Distributed File System and reads .csv and .avro files. All Hadoop distributions implementing the HDFS standard are supported.

HDFS can be read using httpfs (port 14000), webhdfs (port 50070), or Knox Gateway (8443). Consult with your Hadoop administrator for which to use. If you have a Hadoop High Availability (HA) cluster, your Hadoop admin must explicitly enable httpfs.

MapR may not support webhdfs.

In the HDFS Connection window:

  1. Select a server configuration: HTTPFS, WebHDFS, or Knox Gateway.
  2. Host: Specify the installed instance of the Hadoop server. The entry must be a URL or IP address.
  3. Port: Displays the default port number for httpfs (14000), webhdfs (50070), or Knox Gateway (8443), or enter a specific port number.
  4. URL: The URL defaults based on the Host. The URL can be modified.
  5. User Name: Depending on the cluster setup, specify the user name and password for access.
    • httpfs: A user name is needed, but it can be anything.
    • webhdfs: The user name is not needed.
    • Knox Gateway: A user name and password is needed.

      • Self-signed certificates are not supported in Alteryx. Use a trusted certificate when configuring Knox authentication.

  6. Kerberos: Select a Kerberos authentication option for reading and writing to HDFS. The option you choose depends on how your IT admin configured the HDFS server:
    • None: No authentication is used.
    • Kerberos MIT: Alteryx uses the default MIT ticket to authenticate with the server. You must first acquire a valid ticket using the MIT Kerberos Ticket Manager.
    • Kerberos SSPI: Alteryx uses Windows Kerberos keys for authentication, which are obtained when logging in to Windows with your Windows credentials. The User Name and Password fields are therefore not available.
  7. (Recommended) Click Test to test the connection.
  8. Click OK.
  9. Specify the path of the file (for example, path/to/file.csv), or browse to the file and select it.
  10. Select the Avro or CSV file format and click OK.

To connect to HDFS for in-database processing, use the Connect In-DB Tool.

You can also make a Generic connection or a 32-bit connection to databases.

Before you connect to a database, consider the following:

  • Both ODBC and OleDB connection types support spatial connections. Alteryx auto-detects if a database supports spatial functionality and displays the required configurations.
  • To connect to a database for in-database processing, see In-Database Overview.

Point to an option and click a saved or shared data connection to connect it, or click Manage to view and edit connections.

All Connections: Displays a list of connections saved to your computer plus connections shared with from a Gallery.

My Computer: Displays a list of connections saved to your computer.

Gallery: Displays a list connections shared with you from a Gallery.

Add a Gallery: Opens the Gallery Login screen. Use your user name and password to log in. After logging in, return to Saved Data Connections and point to the Gallery in the list to view connections shared from the Gallery.

See Manage data connections for more on managing saved and shared data connections and troubleshooting.

Adobe Adobe Analytics
Amazon Amazon Athena
  Amazon Aurora
  Amazon Redshift
  Amazon S3
Apache Cassandra
  Hadoop Distributed File System (HDFS)
  Hive
  Spark
Cloudera Impala
  Hadoop Distributed File System (HDFS)
  Hive
Databricks Databricks
ESRI ESRI GeoDatabase
Exasolution EXASOL
Google Google Analytics
  Google BigQuery
  Google Sheets
Hortonworks Hadoop Distributed File System (HDFS)
  Hive
IBM IBM DB2
  IBM Netezza
Marketo Marketo
MapR Hadoop Distributed File System (HDFS)
  Hive
Microsoft Microsoft Analytics Platform System
  Microsoft Azure Data Lake Store
  Microsoft Azure SQL Data Warehouse
  Microsoft Azure SQL Database
  Microsoft Cognitive Services
  Microsoft Dynamics CRM
  Microsoft OneDrive
  Microsoft SharePoint
  Microsoft SQL Server
MongoDB MongoDB
MySQL MySQL
NetSuite NetSuite
Oracle Oracle
Pivotal Pivotal Greenplum
PostgreSQL PostgreSQL
Salesforce Salesforce
SAP SAP Hana

Snowflake

Snowflake

Teradata Teradata
  Teradata Aster
Vertica Vertica

Gallery displays each gallery and its URL that has been added on the local computer. A list below each gallery name contains the saved connections stored on the server you have access to.

Click +Gallery to add another gallery.

Select file format options. Options vary based on the file or database to which you connect. See File Format Options.

Preview the data layout in the Preview window. The data layout preview is limited to 100 records, or fewer in wide files. If data contains 1500 columns, at least one record and up to two rows are displayed. To view all data, use a Browse Tool.

You can convert the Input Data tool to a Macro Input Tool or a Dynamic Input Tool. You can undo this change if you have enough undo levels set in your User Settings.

To convert the Input Data tool to a Macro Input Tool or a Dynamic Input Tool.

  1. Right-click the Input Data tool in your workflow.
  2. Select Convert To Macro Input or Convert to Dynamic Input.
  3. Configure the tool.

You can now use the Input Data tool as a Macro Input tool or a Dynamic Input tool.

To use classic mode:

  1. Click Options > User Settings > Edit User Settings.
  2. On the Defaults tab, select the checkbox Use classic mode for the Input/Output tool menu options.
  3. Click OK.
  4. Click on the canvas, or press F5 to refresh.

You can now use the Input Data Tool classic mode to select your files and data sources.