Catalyst optimizer

GPTKB entity

Statements (65)
Predicate Object
gptkbp:instance_of gptkb:software
gptkbp:built functional programming principles
gptkbp:can_be_extended_by gptkb:true
gptkbp:can_handle complex queries
gptkbp:can_perform predicate pushdown
join optimization
filter pushdown
gptkbp:can_transform_into unoptimized logical plans
gptkbp:developed_by gptkb:Databricks
gptkbp:enables query rewriting
logical plan optimization
physical plan generation
https://www.w3.org/2000/01/rdf-schema#label Catalyst optimizer
gptkbp:improves query execution performance
gptkbp:integrates_with machine learning libraries
gptkbp:introduced_in gptkb:Spark_1.4
gptkbp:is_a_key_component_of gptkb:Spark_SQL_engine
gptkbp:is_compatible_with gptkb:Apache_Hive
gptkb:ORC
gptkb:Hadoop
Parquet
gptkbp:is_designed_for big data processing
gptkbp:is_designed_to minimize resource usage
reduce execution time
gptkbp:is_documented_in Apache Spark documentation
gptkbp:is_influential_in data processing frameworks
gptkbp:is_integrated_with Spark's Catalyst framework
gptkbp:is_open_source gptkb:true
gptkbp:is_optimized_for distributed computing
batch processing
dataframes
streaming queries
gptkbp:is_part_of gptkb:Spark_SQL
gptkb:organ
cloud computing solutions
big data solutions
Apache Spark ecosystem
data science workflows
real-time analytics solutions
data lake architecture
gptkbp:is_scalable gptkb:true
gptkbp:is_supported_by community contributions
gptkbp:is_tested_for unit tests
gptkbp:is_used_by data scientists
data engineers
gptkbp:is_used_for data analysis
ETL processes
data filtering
data transformation
data visualization
data aggregation
data summarization
data joining
gptkbp:is_used_in data analytics
data warehousing
gptkbp:key performance tuning
gptkbp:key_feature gptkb:Apache_Spark_SQL
gptkbp:provides query optimization
gptkbp:supports SQL queries
gptkbp:used_in gptkb:Apache_Spark
gptkbp:uses cost-based optimization
gptkbp:utilizes rule-based optimization
gptkbp:written_in gptkb:Scala
gptkbp:bfsParent gptkb:Spark_SQL
gptkbp:bfsLayer 5