Optimized Analytics Package for Spark Platform (OAP)'s repositories
gazelle_plugin
Native SQL Engine plugin for Spark SQL with vectorized SIMD optimizations.
Gluten-Trino
Gluten: Plugin to Boost Trino's Performance
sql-ds-cache
Spark* plug-in for accelerating Spark* SQL performance by using cache and index at SQL data source layer.
remote-shuffle
Spark* shuffle plugin for support shuffling data through a remote Hadoop-compatible file system, as opposed to vanilla Spark's local-disks.
pmem-shuffle
Spark* Shuffle plugin for support shuffling through remote persistent memory over fabrics, which leverages the RDMA network and remote persistent memory (for read) to provide extremely high performance and low latency shuffle solutions for Spark*.
pmem-spill
Spark plug-in package for accelerating Spark runtime spill functions using PMem such as RDD cache PMem extension.
arrow
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
arrow-data-source
Spark DataSouce plugin for reading files from various formats like Parquet into Arrow compatible columnar vectors.
pmem-common
Common library for accessing PMEM native library functions including memkind, vmemcache and so on.
oap-project.github.io
The OAP project web site
solution-navigator
Example solutions or code for using OAP features.
libhdfs3-downstream
a native c/c++ hdfs client (downstream fork from apache-hawq)
pyspark-ai
English SDK for Apache Spark
spark-ai-kit
Gluten: Plugin to Double SparkSQL's Performance