Data load support
The Insert to code function is available for project data assets in Jupyter notebooks when you click the Find and Add Data icon (
) and select an asset in the notebook sidebar. The asset can be data from a file or a data source connection.
By clicking in an empty code cell in your notebook and then clicking the Insert to code link below an asset name, you can select to:
- Insert the data source access credentials. This capability is available for all data assets that are added to a project. With the credentials, you can write your own code to access the asset and load the data into data structures of your choice in your notebook.
-
Generate code that is added to the notebook cell. The inserted code serves as a quick start to allow you to easily begin working with a data set or connection. For production systems, you should carefully review the inserted code to determine if you should write your own code that better meets your needs and performance requirements.
When you run the code cell, the data is accessed and loaded into the data structure you selected. This capability is not available for all data sources.
The following tables show you which data source connections (file types and database connections) support generating code which loads data into given data structures in a notebook. The Insert to code function options for generating code vary depending on the data source, the notebook coding language, and the notebook runtime compute.
Supported files types
| Data source | Notebook coding language | Compute engine type | Available support to load data |
|---|---|---|---|
| CSV files | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| With Hadoop | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| With Hadoop | Load data into R data frame and sparkSessionDataFrame | ||
| Scala | With Spark | Load data into sparkSessionDataFrame | |
| With Hadoop | Load data into sparkSessionDataFrame | ||
| JSON files | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| With Hadoop | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| With Hadoop | Load data into R data frame and sparkSessionDataFrame | ||
| Scala | With Spark | No data load support | |
| With Hadoop | Load data into sparkSessionDataFrame | ||
| .xlsx and .xls files | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame | ||
| R | Anaconda R distribution | No data load support | |
| With Spark | No data load support | ||
| Scala | With Spark | No data load support | |
| Octet-stream file types | |||
| Python | Anaconda Python distribution | No data load support | |
| With Spark | No data load support | ||
| R | Anaconda R distribution | Load data in R data frame | |
| With Spark | Load data in rDataObject | ||
| Scala | With Spark | No data load support | |
| Binary files | |||
| Python | Anaconda Python distribution | No data load support | |
| With Spark | No data load support | ||
| Hadoop | No data load support | ||
| R | Anaconda R distribution | No data load support | |
| With Spark | No data load support | ||
| Hadoop | Load data in rDataObject | ||
| Scala | With Spark | No data load support | |
| With Hadoop | Load data into sparkSessionDataFrame |
Supported database connections
| Data source | Notebook coding language | Compute engine type | Available support to load data |
|---|---|---|---|
| Db2 Warehouse on Cloud | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| With Hadoop | Load data into pandasDataFrame, ibmdbpy, sparkSessionDataFrame and sqlContext | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| With Hadoop | Load data into R data frame, ibmdbr, sparkSessionDataFrame and sqlContext | ||
| Scala | With Spark | Load data into sparkSessionDataFrame | |
| With Hadoop | Load data into sparkSessionDataFrame and sqlContext | ||
| - Amazon Simple Storage Services (S3) - Amazon Simple Storage Services (S3) with an IAM access policy |
|||
| Python | With Hadoop | Load data into pandasStreamingBody and sparkSessionSetup | |
| R | With Hadoop | Load data into rTextConnection and sparkSessionSetup | |
| Scala | With Hadoop | No data load support | |
| - IBM Db2 on Cloud - IBM Db2 Database - IBM Db2 z/OS - Microsoft SQL Server - Netezza (PureData System for Analytics) - IBM Informix - Generic JDBC - IBM Databases for PostgreSQL - Oracle Database - Data Virtualization |
|||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| Scala | With Spark | Load data into sparkSessionDataFrame | |
| - IBM Db2 Hosted - Apache HDFS - IBM Db2 Big SQL |
|||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and sparkSessionDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| Scala | With Spark | No data load support | |
| - Cognos Analytics | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame In the generated code: - Edit the path parameter in the last line of code - Remove the comment tagging To read data, see Reading data from a data source To search data, see Searching for data objects To write data, see Writing data to a data source |
|
| With Spark | No data load support | ||
| R | Anaconda R distribution | Load data into R data frame In the generated code: - Edit the path parameter in the last line of code - Remove the comment tagging To read data, see Reading data from a data source To search data, see Searching for data objects To write data, see Writing data to a data source |
|
| With Spark | No data load support | ||
| Scala | With Spark | No data load support | |
| - Microsoft Azure Cosmos DB | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame | ||
| R | Anaconda R distribution | No data load support | |
| With Spark | No data load support | ||
| Scala | With Spark | No data load support | |
| - HTTP - Apache Cassandra - Amazon RDS for PostgreSQL |
|||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame | ||
| Scala | With Spark | Load data into sparkSessionDataFrame | |
| - Amazon RDS for MySQL | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame and into sparkSessionDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame and sparkSessionDataFrame | ||
| Scala | With Spark | Load data into sparkSessionDataFrame | |
| - IBM Cloud Object Storage | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | Load data into pandasDataFrame | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | Load data into R data frame | ||
| Scala | With Spark | No data load support | |
| - Mounted storage volumes | |||
| Python | Anaconda Python distribution | Load data into pandasDataFrame | |
| With Spark | No data load support | ||
| R | Anaconda R distribution | Load data into R data frame | |
| With Spark | No data load support | ||
| Scala | With Spark | No data load support |