SlideShare a Scribd company logo
Version 1.0
Functions In Cassandra
An Anant Corporation Story.
Default Functions, Aggregations, UDFs, and UDAs in Cassandra
Cassandra Native Functions
● Functions transform one or more column values into a new value
● Cassandra Native functions
○ Blob conversion functions
○ UUID and Timeuuid functions
○ Token function
○ WRITETIME function
○ TTL function
○ Standard aggregate functions such as MIN(), MAX(), SUM(), and AVG().
○ TOKEN function
Cassandra Native Functions (2)
● Blob conversion functions
○ Blob type stores raw binary data as a string of hex characters
○ Inbuilt functions convert between blob and other native Cassandra types
■ typeAsBlob(value)
■ blobAsType(value)
● UUID and Timeuuid functions
○ uuid() generates a random uuid
○ dateOf() and unixTimestampOf() extract the date and timestamp from a timeuuid
○ minTimeuuid() and maxTimeuuid() generate timeuuid consistent with a given date, now() does the same
with the current time
○ Timestamp, date conversion functions
● Token function
○ Used to give the token that Cassandra uses to sort rows among nodes
Cassandra Native Functions (3)
● WRITETIME function
○ Returns the date and time that a particular column was written to the database
● TTL function
○ Returns the number of seconds before a particular cell is replaced with a tombstone, to later be deleted
● Standard aggregate functions such as MIN(), MAX(), SUM(), and AVG()
User Defined Functions
● User-defined functions allow execution of user-provided code in Cassandra. By default,
Cassandra supports defining functions in Java and JavaScript.
● UDFs exists on the keyspace level as part of the Cassandra schema
○ They get replicated to each node
● It is possible to use user-defined type in functions, as well as collections and tuples
● Can be used as part of select, insert, and update statements
● The CREATE FUNCTION statement can be use with OR REPLACE or with IF NOT EXISTS
Demo
Strategy: Scalable Fast Data
Architecture: Cassandra, Spark, Kafka
Engineering: Node, Python, JVM,CLR
Operations: Cloud, Container
Rescue: Downtime!! I need help.
www.anant.us | solutions@anant.us | (855) 262-6826
3 Washington Circle, NW | Suite 301 | Washington, DC 20037

More Related Content

What's hot

Netflix Data Benchmark @ HPTS 2017
Netflix Data Benchmark @ HPTS 2017Netflix Data Benchmark @ HPTS 2017
Netflix Data Benchmark @ HPTS 2017
Ioannis Papapanagiotou
 

What's hot (20)

Apache Spark II (SparkSQL)
Apache Spark II (SparkSQL)Apache Spark II (SparkSQL)
Apache Spark II (SparkSQL)
 
Building a REST API with Cassandra on Datastax Astra Using Python and Node
Building a REST API with Cassandra on Datastax Astra Using Python and NodeBuilding a REST API with Cassandra on Datastax Astra Using Python and Node
Building a REST API with Cassandra on Datastax Astra Using Python and Node
 
Amazon Web Services lection 4
Amazon Web Services lection 4  Amazon Web Services lection 4
Amazon Web Services lection 4
 
Apache Flink Training Workshop @ HadoopCon2016 - #2 DataSet API Hands-On
Apache Flink Training Workshop @ HadoopCon2016 - #2 DataSet API Hands-OnApache Flink Training Workshop @ HadoopCon2016 - #2 DataSet API Hands-On
Apache Flink Training Workshop @ HadoopCon2016 - #2 DataSet API Hands-On
 
Migrating Data Pipeline from MongoDB to Cassandra
Migrating Data Pipeline from MongoDB to CassandraMigrating Data Pipeline from MongoDB to Cassandra
Migrating Data Pipeline from MongoDB to Cassandra
 
Databases and how to choose them
Databases and how to choose themDatabases and how to choose them
Databases and how to choose them
 
Introduction to NoSql
Introduction to NoSqlIntroduction to NoSql
Introduction to NoSql
 
Sizing Your Scylla Cluster
Sizing Your Scylla ClusterSizing Your Scylla Cluster
Sizing Your Scylla Cluster
 
The Do’s and Don’ts of Benchmarking Databases
The Do’s and Don’ts of Benchmarking DatabasesThe Do’s and Don’ts of Benchmarking Databases
The Do’s and Don’ts of Benchmarking Databases
 
Cassandra vs Databases
Cassandra vs Databases Cassandra vs Databases
Cassandra vs Databases
 
MongoDB SF Ruby
MongoDB SF RubyMongoDB SF Ruby
MongoDB SF Ruby
 
Scylla Summit 2022: Stream Processing with ScyllaDB
Scylla Summit 2022: Stream Processing with ScyllaDBScylla Summit 2022: Stream Processing with ScyllaDB
Scylla Summit 2022: Stream Processing with ScyllaDB
 
Scylla Summit 2018: Adventures in AdTech: Processing 50 Billion User Profiles...
Scylla Summit 2018: Adventures in AdTech: Processing 50 Billion User Profiles...Scylla Summit 2018: Adventures in AdTech: Processing 50 Billion User Profiles...
Scylla Summit 2018: Adventures in AdTech: Processing 50 Billion User Profiles...
 
Machine learning at Scale with Apache Spark
Machine learning at Scale with Apache SparkMachine learning at Scale with Apache Spark
Machine learning at Scale with Apache Spark
 
ManetoDB: Key/Value storage, BigData in Open Stack_Сергей Ковалев, Илья Свиридов
ManetoDB: Key/Value storage, BigData in Open Stack_Сергей Ковалев, Илья СвиридовManetoDB: Key/Value storage, BigData in Open Stack_Сергей Ковалев, Илья Свиридов
ManetoDB: Key/Value storage, BigData in Open Stack_Сергей Ковалев, Илья Свиридов
 
Large volume data analysis on the Typesafe Reactive Platform - Big Data Scala...
Large volume data analysis on the Typesafe Reactive Platform - Big Data Scala...Large volume data analysis on the Typesafe Reactive Platform - Big Data Scala...
Large volume data analysis on the Typesafe Reactive Platform - Big Data Scala...
 
Demonstration
DemonstrationDemonstration
Demonstration
 
Spark 计算模型
Spark 计算模型Spark 计算模型
Spark 计算模型
 
Tweaking perfomance on high-load projects_Думанский Дмитрий
Tweaking perfomance on high-load projects_Думанский ДмитрийTweaking perfomance on high-load projects_Думанский Дмитрий
Tweaking perfomance on high-load projects_Думанский Дмитрий
 
Netflix Data Benchmark @ HPTS 2017
Netflix Data Benchmark @ HPTS 2017Netflix Data Benchmark @ HPTS 2017
Netflix Data Benchmark @ HPTS 2017
 

Similar to Cassandra Lunch #59 Functions in Cassandra

Intro to Spark - for Denver Big Data Meetup
Intro to Spark - for Denver Big Data MeetupIntro to Spark - for Denver Big Data Meetup
Intro to Spark - for Denver Big Data Meetup
Gwen (Chen) Shapira
 

Similar to Cassandra Lunch #59 Functions in Cassandra (20)

Running Cassandra in AWS
Running Cassandra in AWSRunning Cassandra in AWS
Running Cassandra in AWS
 
mypipe: Buffering and consuming MySQL changes via Kafka
mypipe: Buffering and consuming MySQL changes via Kafkamypipe: Buffering and consuming MySQL changes via Kafka
mypipe: Buffering and consuming MySQL changes via Kafka
 
Large-Scale Automated Storage on Kubernetes - Matt Schallert OSCON 2019
Large-Scale Automated Storage on Kubernetes - Matt Schallert OSCON 2019Large-Scale Automated Storage on Kubernetes - Matt Schallert OSCON 2019
Large-Scale Automated Storage on Kubernetes - Matt Schallert OSCON 2019
 
Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015Lambda at Weather Scale - Cassandra Summit 2015
Lambda at Weather Scale - Cassandra Summit 2015
 
OpenTSDB 2.0
OpenTSDB 2.0OpenTSDB 2.0
OpenTSDB 2.0
 
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
Introduction to InfluxDB, an Open Source Distributed Time Series Database by ...
 
Intro to Spark - for Denver Big Data Meetup
Intro to Spark - for Denver Big Data MeetupIntro to Spark - for Denver Big Data Meetup
Intro to Spark - for Denver Big Data Meetup
 
Use Your MySQL Knowledge to Become an Instant Cassandra Guru
Use Your MySQL Knowledge to Become an Instant Cassandra GuruUse Your MySQL Knowledge to Become an Instant Cassandra Guru
Use Your MySQL Knowledge to Become an Instant Cassandra Guru
 
Cassandra meetup slides - Oct 15 Santa Monica Coloft
Cassandra meetup slides - Oct 15 Santa Monica ColoftCassandra meetup slides - Oct 15 Santa Monica Coloft
Cassandra meetup slides - Oct 15 Santa Monica Coloft
 
Cassandra Java APIs Old and New – A Comparison
Cassandra Java APIs Old and New – A ComparisonCassandra Java APIs Old and New – A Comparison
Cassandra Java APIs Old and New – A Comparison
 
Robust C++ Task Systems Through Compile-time Checks
Robust C++ Task Systems Through Compile-time ChecksRobust C++ Task Systems Through Compile-time Checks
Robust C++ Task Systems Through Compile-time Checks
 
Intro to cassandra
Intro to cassandraIntro to cassandra
Intro to cassandra
 
Dragoncraft Architectural Overview
Dragoncraft Architectural OverviewDragoncraft Architectural Overview
Dragoncraft Architectural Overview
 
Options and trade offs for parallelism and concurrency in Modern C++
Options and trade offs for parallelism and concurrency in Modern C++Options and trade offs for parallelism and concurrency in Modern C++
Options and trade offs for parallelism and concurrency in Modern C++
 
User defined-functions-cassandra-summit-eu-2014
User defined-functions-cassandra-summit-eu-2014User defined-functions-cassandra-summit-eu-2014
User defined-functions-cassandra-summit-eu-2014
 
Streaming Data from Cassandra into Kafka
Streaming Data from Cassandra into KafkaStreaming Data from Cassandra into Kafka
Streaming Data from Cassandra into Kafka
 
Sorry - How Bieber broke Google Cloud at Spotify
Sorry - How Bieber broke Google Cloud at SpotifySorry - How Bieber broke Google Cloud at Spotify
Sorry - How Bieber broke Google Cloud at Spotify
 
Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...
Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...
Introducing BinarySortedMultiMap - A new Flink state primitive to boost your ...
 
Shift: Real World Migration from MongoDB to Cassandra
Shift: Real World Migration from MongoDB to CassandraShift: Real World Migration from MongoDB to Cassandra
Shift: Real World Migration from MongoDB to Cassandra
 
SparkSQL: A Compiler from Queries to RDDs
SparkSQL: A Compiler from Queries to RDDsSparkSQL: A Compiler from Queries to RDDs
SparkSQL: A Compiler from Queries to RDDs
 

More from Anant Corporation

NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
Anant Corporation
 
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPTAutomate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
Anant Corporation
 
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
Anant Corporation
 

More from Anant Corporation (20)

QLoRA Fine-Tuning on Cassandra Link Data Set (1/2) Cassandra Lunch 137
QLoRA Fine-Tuning on Cassandra Link Data Set (1/2) Cassandra Lunch 137QLoRA Fine-Tuning on Cassandra Link Data Set (1/2) Cassandra Lunch 137
QLoRA Fine-Tuning on Cassandra Link Data Set (1/2) Cassandra Lunch 137
 
Kono.IntelCraft.Weekly.AI.LLM.Landscape.2024.02.28.pdf
Kono.IntelCraft.Weekly.AI.LLM.Landscape.2024.02.28.pdfKono.IntelCraft.Weekly.AI.LLM.Landscape.2024.02.28.pdf
Kono.IntelCraft.Weekly.AI.LLM.Landscape.2024.02.28.pdf
 
Data Engineer's Lunch 96: Intro to Real Time Analytics Using Apache Pinot
Data Engineer's Lunch 96: Intro to Real Time Analytics Using Apache PinotData Engineer's Lunch 96: Intro to Real Time Analytics Using Apache Pinot
Data Engineer's Lunch 96: Intro to Real Time Analytics Using Apache Pinot
 
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
NoCode, Data & AI LLM Inside Bootcamp: Episode 6 - Design Patterns: Retrieval...
 
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPTAutomate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
Automate your Job and Business with ChatGPT #3 - Fundamentals of LLM/GPT
 
YugabyteDB Developer Tools
YugabyteDB Developer ToolsYugabyteDB Developer Tools
YugabyteDB Developer Tools
 
Episode 2: The LLM / GPT / AI Prompt / Data Engineer Roadmap
Episode 2: The LLM / GPT / AI Prompt / Data Engineer RoadmapEpisode 2: The LLM / GPT / AI Prompt / Data Engineer Roadmap
Episode 2: The LLM / GPT / AI Prompt / Data Engineer Roadmap
 
Machine Learning Orchestration with Airflow
Machine Learning Orchestration with AirflowMachine Learning Orchestration with Airflow
Machine Learning Orchestration with Airflow
 
Cassandra Lunch 130: Recap of Cassandra Forward Talks
Cassandra Lunch 130: Recap of Cassandra Forward TalksCassandra Lunch 130: Recap of Cassandra Forward Talks
Cassandra Lunch 130: Recap of Cassandra Forward Talks
 
Data Engineer's Lunch 90: Migrating SQL Data with Arcion
Data Engineer's Lunch 90: Migrating SQL Data with ArcionData Engineer's Lunch 90: Migrating SQL Data with Arcion
Data Engineer's Lunch 90: Migrating SQL Data with Arcion
 
Data Engineer's Lunch 89: Machine Learning Orchestration with AirflowMachine ...
Data Engineer's Lunch 89: Machine Learning Orchestration with AirflowMachine ...Data Engineer's Lunch 89: Machine Learning Orchestration with AirflowMachine ...
Data Engineer's Lunch 89: Machine Learning Orchestration with AirflowMachine ...
 
Cassandra Lunch 129: What’s New: Apache Cassandra 4.1+ Features & Future
Cassandra Lunch 129: What’s New:  Apache Cassandra 4.1+ Features & FutureCassandra Lunch 129: What’s New:  Apache Cassandra 4.1+ Features & Future
Cassandra Lunch 129: What’s New: Apache Cassandra 4.1+ Features & Future
 
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
Data Engineer's Lunch #86: Building Real-Time Applications at Scale: A Case S...
 
Data Engineer's Lunch #85: Designing a Modern Data Stack
Data Engineer's Lunch #85: Designing a Modern Data StackData Engineer's Lunch #85: Designing a Modern Data Stack
Data Engineer's Lunch #85: Designing a Modern Data Stack
 
CL 121
CL 121CL 121
CL 121
 
Data Engineer's Lunch #83: Strategies for Migration to Apache Iceberg
Data Engineer's Lunch #83: Strategies for Migration to Apache IcebergData Engineer's Lunch #83: Strategies for Migration to Apache Iceberg
Data Engineer's Lunch #83: Strategies for Migration to Apache Iceberg
 
Apache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOps
Apache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOpsApache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOps
Apache Cassandra Lunch 120: Apache Cassandra Monitoring Made Easy with AxonOps
 
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache CassandraApache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
Apache Cassandra Lunch 119: Desktop GUI Tools for Apache Cassandra
 
Data Engineer's Lunch #82: Automating Apache Cassandra Operations with Apache...
Data Engineer's Lunch #82: Automating Apache Cassandra Operations with Apache...Data Engineer's Lunch #82: Automating Apache Cassandra Operations with Apache...
Data Engineer's Lunch #82: Automating Apache Cassandra Operations with Apache...
 
Data Engineer's Lunch #60: Series - Developing Enterprise Consciousness
Data Engineer's Lunch #60: Series - Developing Enterprise ConsciousnessData Engineer's Lunch #60: Series - Developing Enterprise Consciousness
Data Engineer's Lunch #60: Series - Developing Enterprise Consciousness
 

Recently uploaded

一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
vcaxypu
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
vcaxypu
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
ocavb
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
StarCompliance.io
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
enxupq
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
nscud
 
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Domenico Conte
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
ewymefz
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
Opendatabay
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
ewymefz
 

Recently uploaded (20)

Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 
How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?
 
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
一比一原版(RUG毕业证)格罗宁根大学毕业证成绩单
 
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
一比一原版(ArtEZ毕业证)ArtEZ艺术学院毕业证成绩单
 
一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单一比一原版(TWU毕业证)西三一大学毕业证成绩单
一比一原版(TWU毕业证)西三一大学毕业证成绩单
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
 
一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单一比一原版(QU毕业证)皇后大学毕业证成绩单
一比一原版(QU毕业证)皇后大学毕业证成绩单
 
Tabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflowsTabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflows
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
 
2024-05-14 - Tableau User Group - TC24 Hot Topics - Tableau Pulse and Einstei...
2024-05-14 - Tableau User Group - TC24 Hot Topics - Tableau Pulse and Einstei...2024-05-14 - Tableau User Group - TC24 Hot Topics - Tableau Pulse and Einstei...
2024-05-14 - Tableau User Group - TC24 Hot Topics - Tableau Pulse and Einstei...
 
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
 
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
一比一原版(UofM毕业证)明尼苏达大学毕业证成绩单
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
 
Using PDB Relocation to Move a Single PDB to Another Existing CDB
Using PDB Relocation to Move a Single PDB to Another Existing CDBUsing PDB Relocation to Move a Single PDB to Another Existing CDB
Using PDB Relocation to Move a Single PDB to Another Existing CDB
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
 
tapal brand analysis PPT slide for comptetive data
tapal brand analysis PPT slide for comptetive datatapal brand analysis PPT slide for comptetive data
tapal brand analysis PPT slide for comptetive data
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
 
Jpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization SampleJpolillo Amazon PPC - Bid Optimization Sample
Jpolillo Amazon PPC - Bid Optimization Sample
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 

Cassandra Lunch #59 Functions in Cassandra

  • 1. Version 1.0 Functions In Cassandra An Anant Corporation Story. Default Functions, Aggregations, UDFs, and UDAs in Cassandra
  • 2. Cassandra Native Functions ● Functions transform one or more column values into a new value ● Cassandra Native functions ○ Blob conversion functions ○ UUID and Timeuuid functions ○ Token function ○ WRITETIME function ○ TTL function ○ Standard aggregate functions such as MIN(), MAX(), SUM(), and AVG(). ○ TOKEN function
  • 3. Cassandra Native Functions (2) ● Blob conversion functions ○ Blob type stores raw binary data as a string of hex characters ○ Inbuilt functions convert between blob and other native Cassandra types ■ typeAsBlob(value) ■ blobAsType(value) ● UUID and Timeuuid functions ○ uuid() generates a random uuid ○ dateOf() and unixTimestampOf() extract the date and timestamp from a timeuuid ○ minTimeuuid() and maxTimeuuid() generate timeuuid consistent with a given date, now() does the same with the current time ○ Timestamp, date conversion functions ● Token function ○ Used to give the token that Cassandra uses to sort rows among nodes
  • 4. Cassandra Native Functions (3) ● WRITETIME function ○ Returns the date and time that a particular column was written to the database ● TTL function ○ Returns the number of seconds before a particular cell is replaced with a tombstone, to later be deleted ● Standard aggregate functions such as MIN(), MAX(), SUM(), and AVG()
  • 5. User Defined Functions ● User-defined functions allow execution of user-provided code in Cassandra. By default, Cassandra supports defining functions in Java and JavaScript. ● UDFs exists on the keyspace level as part of the Cassandra schema ○ They get replicated to each node ● It is possible to use user-defined type in functions, as well as collections and tuples ● Can be used as part of select, insert, and update statements ● The CREATE FUNCTION statement can be use with OR REPLACE or with IF NOT EXISTS
  • 7. Strategy: Scalable Fast Data Architecture: Cassandra, Spark, Kafka Engineering: Node, Python, JVM,CLR Operations: Cloud, Container Rescue: Downtime!! I need help. www.anant.us | solutions@anant.us | (855) 262-6826 3 Washington Circle, NW | Suite 301 | Washington, DC 20037