This section covers key known limitations of Trifacta® Wrangler Enterprise.
NOTE: This list of limitations should not be considered complete.
Sample sizes are defined by parameter for each available running environment. See Sample Size Limits below.
- All values displayed or generated in the application are based on the currently displayed sample.
- Transforms that generate new data may not factor values that are not present in the current sample.
- When the job is executed, transforms are applied across all rows and values in the source data.
- Transforms that make changes based on data values, such as
valuestocols, will still be configured according to sample data at the time of that the step was added, instead at execution time. For example, all of the values detected in the sample are used to determine the columns of a
valuestocolstransform step based on the selected sample when the step was added.
- Random samples are derived from up to the first 1 GB of the source file.
- Data from later parts of a multi-part file may not be included in the sample.
- For more information, see Samples Panel.
The product supports a variety of global file encoding types for import. For more information, see Configure Global File Encoding Type.
- Within the application, UTF-8 encodings are displayed.
- Limited set of characters allowed in column names.
- Header does not support all UTF-8 characters.
- Emoji are not supported in data wrangling operations.
- Umlauts and other international characters are not supported when filtering datasets in browsers of external datastores.
- UTF-8 is generated in output.
- Some international characters are presented incorrectly in the output.
States and Zip Code Column Types and the corresponding maps in visual profiling apply only to the United States.
UTF-32 encoding is not supported
NOTE: Some functions do not correctly account for multi-byte characters. Multi-byte metadata values may not be consistently managed.
Sample Size Limits
Defaults for each running environment:
- For the Trifacta Photon running environment, samples are limited to 10 MB.
- For more information on changing sample sizes, see Running Environment Options.
Job Size Limits
Execution on a Spark running environment is recommended for any files over 5GB in net data size, including join keys.
Limitations by Integration
The product requires definition of a base storage layer, which can be HDFS or S3 for this version. This base storage layer must be defined during install and cannot be changed after installation. See Set Base Storage Layer.
- If LDAP integration is enabled, the LDAP user
]should be created in the same realm.
- See Configure SSO for AD-LDAP.
- Trifacta Wrangler Enterprise requires an integration with a working Hadoop cluster.
- See Running Environment Options.
- For more information, see Install from AWS Marketplace.
- For more information, see Configure for Azure.
- S3 integration is supported only over AWS-hosted instances of S3.
- Oracle Java Runtime 1.8 must be installed on the node hosting the product.
- Writing to S3 requires use of S3 as the base storage layer. For more information, see Set Base Storage Layer.
- When publishing single files to S3, you cannot apply an
Only HiveServer2 is supported.
- You can create only one connection of this type.
- When reading from a partitioned table, the product reads from all partitions, which impacts performance.
- For more information, see Configure for Hive.
- The product supports explicit versions of each JDBC source.
- Some additional installation may be required.
- See Enable Relational Connections.
- Jobs for JDBC sources must be executed on the Trifacta Photon running environment.
- Writing to JDBC sources is not supported in this release.
- File Formats: Limitations may apply to individual file formats. See Supported File Formats.
- Data Type Conversions: There are some limitations on the data types that can be imported for individual file formats and sources. Some sources are read-only. See Type Conversions.
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