The Shuffle Snap is a a Flow type Snap that enables you to randomize the order of the rows in an incoming dataset. The Snap can be optimized to work with large datasets by configuring the maximum percentage of memory that can be used to buffer the dataset,if that limit is exceeded then the dataset is downloaded to a temporary file in local storage.A random integer can be assigned as the seed value, a seed value is any number that acts as the identifier for a particular randomized order. The Snap produces the same randomized order for the same seed value. This Snap, along with the Sample Snap, is helpful in randomizing a sample dataset for further analysis.
Expected Input and Output
The Snap accepts document input and generates a document output. Use any Snap that produces a document output containing row-data upstream of the Snap and Snaps that accept document inputs such as Mapper downstream of the Snap.The Snap works with both numeric and categorical datasets.
Required. The name for the Snap. Modify this to be more specific, especially if there are more than one of the same Snap in the pipeline.
Use random seed
Select this field to enable using aseed value. The next field is ignored if this field is deselected.
Default value: Selected
Random seed
Conditional. This isrequired if the Use random seed field is selected and specifies the seed value to be used in randomizing the dataset. Using the same seed value for a dataset generates the same order of shuffled dataset.
Default value: 12345
Maximum memory %
Required. The maximum portion of the node's memory, as a percentage, that can be utilized to buffer the incoming dataset. If this percentage is exceeded then the dataset is written to a temporary local file and thenthe sample generatedfrom this temporary file. This configuration is useful in handling large datasets without over-utilization of the node memory. The minimum default memory to be utilized by the Snap is set at 100 MB.
Upgraded the org.json.json library from v20090211 to v20240303, which is fully backward compatible.
Enhanced the Date Time Extractor Snap to support Date time formats (YYYY-MM-dd HH:mm:ss and YYYY-MM-dd HH:mm:ss.SSS) and allow the root path to auto-convert all fields.
May 2024
main26341
Stable
Updated and certified against the current SnapLogic Platform release.
February 2024
436patches25781
Latest
Enhanced the Deduplicate Snap to honor an interrupt while waiting in the delay loop to manage the memory efficiently.
February 2024
main25112
Stable
Updated and certified against the current SnapLogic Platform release.
November 2023
main23721
Nov 8, 2023
Stable
Updated and certified against the current SnapLogic Platform release.
August 2023
main22460
Aug 16, 2023
Stable
Updated and certified against the current SnapLogic Platform release.
May 2023
433patches21572
Latest
The Deduplicate Snap now manages memory efficiently and eliminates out-of-memory crashes using the following fields:
Minimum memory (MB)
Minimum free disk space (MB)
May 2023
433patches21247
Latest
Fixed an issue with the Match Snap where a null pointer exception was thrown when the second input view had fewer records than the first.
May 2023
main21015
Stable
Upgraded with the latest SnapLogic Platform release.
February 2023
main19844
Stable
Upgraded with the latest SnapLogic Platform release.
December 2022
431patches19268
Latest
The Deduplicate Snap now ignores fields with empty strings and whitespaces as no data.
November 2022
main18944
Stable
Upgraded with the latest SnapLogic Platform release.
August 2022
main17386
Stable
Upgraded with the latest SnapLogic Platform release.
4.29
main15993
Stable
Upgraded with the latest SnapLogic Platform release.
4.28
main14627
Stable
Enhanced the Type Converter Snap with the Fail safe upon execution checkbox. Select this checkbox to enable the Snap to convert data with valid data types, while ignoring invalid data types.
4.27
427patches13730
Enhanced the Type Converter Snap with the Fail safe upon executioncheckbox. Select this checkbox to enable the Snap to ignore invalid data types and convert data with valid data types.
4.27
427patches13948
Latest
Fixed an issue with the Principal Component Analysis Snap, where a deadlock occurred when data is loaded from both the input views.
4.27
main12833
Stable
Upgraded with the latest SnapLogic Platform release.
4.26
main11181
Stable
Upgraded with the latest SnapLogic Platform release.
4.25
425patches10994
Fixed an issue when the Deduplicate Snap where the Snap breaks when running on a locale that does not format decimals with Period (.) character.
4.25
main9554
Stable
Upgraded with the latest SnapLogic Platform release.
4.24
main8556
Stable
Upgraded with the latest SnapLogic Platform release.
4.23
main7430
Stable
Upgraded with the latest SnapLogic Platform release.
4.22
main6403
Stable
Upgraded with the latest SnapLogic Platform release.
4.21
snapsmrc542
Stable
Introduces the Mask Snap that enables you to hide sensitive information in your dataset before exporting the dataset for analytics or writing the dataset to a target file.
Enhances theMatch Snap to add a new field,Match all, which matches one record from the first input with multiple records in the second input. Also, enhances theComparatorfield in the Snap by adding one more option,Exact, which identifies and classifies a match as either an exact match or not a match at all.
Enhances the DeduplicateSnap to add a new field,Group ID, which includes the Group ID for each record in the output. Also, enhances theComparatorfield in the Snap by adding one more option,Exact, which identifies and classifies a match as either an exact match or not a match at all.
Enhances the SampleSnap by adding a second output view which displays data that is not in the first output. Also, a new algorithm type,Linear Split, which enables you to split the dataset based on the pass-through percentage.
4.20 Patch
mldatapreparation8771
Latest
Removes the unused jcc-optionaldependency from the ML Data Preparation Snap Pack.
4.20
snapsmrc535
Stable
Upgraded with the latest SnapLogic Platform release.
4.19
snapsmrc528
Stable
New Snap: Introducing the Deduplicate Snap. Use this Snap to remove duplicate records from input documents. When you use multiple matching criteria to deduplicate your data, it is evaluated using each criterion separately, and then aggregated to give the final result.
4.18
snapsmrc523
Stable
Upgraded with the latest SnapLogic Platform release.
4.17 Patch
ALL7402
Latest
Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.
4.17
snapsmrc515
Latest
New Snap: Introducing the Feature Synthesis Snap, which automatically createsfeatures out of multiple datasets that share a one-to-one or one-to-many relationship with each other.
New Snap: Introducing the Match Snap, which enables you to automatically identify matched records across datasets that do not have a common key field.
Added the Snap Execution field to all Standard-mode Snaps. In some Snaps, this field replaces the existing Execute during preview check box.
4.16
snapsmrc508
Stable
Added a new Snap, Principal Component Analysis, which enables you to perform principal component analysis (PCA) on numeric fields (columns) to reduce dimensions of the dataset.
4.15
snapsmrc500
Stable
New Snap Pack. Perform preparatory operations on datasets such as data type transformation, data cleanup, sampling, shuffling, and scaling. Snaps in this Snap Pack are: