- Doc updates for install
- matlab-spark-api, release 0.3.1
- Tests added
- matlab-spark-api, release 0.3.0
- Install doc fixes
- Implemented
mode
method forDataFrameWriter
- Implemented
bucketBy
andsortBy
forDataFrameWriter
- Improved javabuilder path handling
- matlab-spark-api, release 0.2.8
- Support encryption for
SparkBuilder
- Support obfuscation for
SparkBuilder
- Support encryption for
- matlab-spark-api, release 0.2.7
- Minor Apple silicon fix
- matlab-spark-api, release 0.2.6
- Implemented
pivot
method onRelationalGroupedDataset
- Enabled Apple silicon beta in startup
- Implemented
- matlab-spark-api, release 0.2.5
- Consolidated building Java based utilities
- SparkApiRef update
- matlab-spark-api, release 0.2.4
- Support for more than 5 outputs for SparkBuilder (Scala)
- matlab-spark-api, release 0.2.3
- Handle filename escaping for comments
- Documentation updates
- matlab-spark-api, release 0.2.2
- Global handling of MATLAB Runtime for Java jobs, improving resource utilization.
- Make
runSparkShell
functions Runtime version dependent - Add support for
pythonPackage
for older releases. - Fixed
SparkBuilder
issue for release R2022b.
- matlab-spark-api, release 0.2.0
- Improved PythonSparkBuilder
- Improved error handling in deployed mode
- Make it possible to use arrays as arguments to Python/Java Spark Builder functions
- Bugfix for
pretty
in R2019a
- matlab-spark-api, release 0.1.32
- Pointing JAVA_HOME to JDK Home for Databricks environment
- matlab-spark-api, release 0.1.31
- Support
mapInPandas
- Rename
func_pandas
tofunc_applyInPandas
- Lazy creation of MATLAB Runtime for Python interface
- Support
- matlab-spark-api, release 0.1.30
- Support for vectors in
dataset2table
- Support string type for SparkBuilder additional arguments
- Support for vectors in
- matlab-spark-api, release 0.1.29
- Add
isin
method forColumn
object
- Add
- matlab-spark-api, release 0.1.28
- Add exception cause for missing Jar in Databricks
- matlab-spark-api, release 0.1.27
- Migrate from
distutils
tosetuptools
forPythonSparkBuilder
- Add metrics option for (some) Pandas methods
- Enable persistent spark sessions for Databricks
- Add concat method from
sql.functions
- Add schema method on
DataFrameReader
- Add
TableAggregate
type forPythonSparkBuilder
- Migrate from
- matlab-spark-api, release 0.1.26
- Support methods
describe
andsummary
on Dataset class - Support Pandas methods in
PythonSparkBuilder
.
- Support methods
- matlab-spark-api, release 0.1.25
- Enabling additional arguments for Table functions
- Provide helper functions for Compiler workflows
- Add
na
method for dataset
- matlab-spark-api, release 0.1.24
- matlab-spark-api
- Implement more
sql.functions
methods
- Implement more
- Add support for Spark 3.2.1
- Fixed Java build for newest MATLAB release (shading certain packages)
- Removed spark-avro Jar for Spark 2.2.0 (no longer available at repositories)
- Minor, cosmetic fixes
- Update SparkAPI generated documentation
- Minor changes to spark-api, version 0.1.16
- Documentation updates
- Added 3.1.1 configuration of Spark
- Several methods on Dataset object added
- Fixed bug with mapPartion Table generation
- Improved documentation
- SparkBuilder improvements
- Add several methods from
org.apache.spark.sql.functions
- Added initial Spark UI REST API support
- Add drop method to Dataset
- Improve UDF/map SparkBuilder
- Update SparkUtility, 0.2.8., with methods for creating Encoders
- Add arithmetic, relational and boolean operators on Column object. This also includes overloading of corresponding MATLAB operators.
- Initial release of SparkBuilder for maps and UDFs.
- Documentation updates
- Updates in spark-api
- More methods in spark-api
- Shading of Jar-file
- Use in-memory config for all helper functions
- Add dependencies for OSX
- Add more methods and tests to dataset
- Improvements to matlab-spark-utility
- Improvements to install/javaclasspath
- Reorg of repository with matlab-spark-api submodule.
- Tests working for plain Spark as well as Databricks
- Improved data marshalling between MATLAB and Spark
- Add support for Maps and Structures converting from datasets to MATLAB tables.
- Add support for Spark 3 (3.0.1).
- Add Config functionality to handle different Spark versions.
- Add support for windowed columns in table conversion.
- Add several methods from
org.apache.spark.sql.functions
- Add support for struct arrays and wrapped arrays in table conversion.
- Add several methods from
org.apache.spark.sql.functions
- First customer release