SlideShare une entreprise Scribd logo
1  sur  49
Cassandra 1.2
Jonathan Ellis
Project Chair, Apache Cassandra
CTO, DataStax
@spyced
C* in a nutshell
 • Massively scalable
 • High performance
 • Reliable/Available




©2012 DataStax          2
©2012 DataStax
1.2
 •      Concurrent schema          • Atomic batches
        changes
                                   • CQL3
 • Virtual nodes                    • Collections
 • “Fat node” support               • Data dictionary
  • JBOD improvements              • Tracing
  • Off-heap bloom filters,
            compression metadata
     •      Parallel leveled
            compaction




©2012 DataStax
Concurrent Schema Changes
                    CREATE TABLE X;
                          ...
                    DROP TABLE X;

           Client


                                      Cassandra
                                       Cluster

           Client

                    CREATE TABLE Y;
                          ...
©2012 DataStax
                    DROP TABLE Y;
Virtual nodes

                      A                          C   D
                                             B           E

                                        A                      F
         F                      B

                                    P                              G
                 Ring without
                                            Ring with vnodes
                    vnodes          O                              H

         E                      C       N                      I

                                             M            J
                      D                          L   K




©2012 DataStax
Virtual nodes

                      A                          C   D
                                             B           E

                                        A                      F
         F                      B

                                    P                              G
                 Ring without
                                            Ring with vnodes
                    vnodes          O                              H

         E                      C       N                      I

                                             M            J
                      D                          L   K




©2012 DataStax
Virtual nodes

                      A                          C   D
                                             B           E

                                        A                      F
         F                      B

                                    P                              G
                 Ring without
                                            Ring with vnodes
                    vnodes          O                              H

         E                      C       N                      I

                                             M            J
                      D                          L   K




©2012 DataStax
Node Rebuild without vnodes
                              Node 1      Node 2      Node 3
                                  A           B           C

                              F       E   A       F   B       A
                 A


       F                  B

           Ring without
              vnodes
       E                  C


                 D

                                  D           E           F

                              C       B   D       C   E       D

                              Node 4      Node 5      Node 6


©2012 DataStax
Node Rebuild with vnodes
                                         Node 1   Node 2   Node 3
                                         B   E    A   P    K   G

                                         G   K    M   O    C   N
                   C   D                 D   J    D   H    J   F
             B             E
         A                       F       L   A    K   F    P   I

     P           Ring with           G

     O           VNodes              H

         N                       I       M   O    E   P    H   C
             M               J
                   L   K                 I   H    I   A    B   O

                                         B   L    M   C    N   E

                                         F   D    G   N    J   L

                                         Node 4   Node 5   Node 6


©2012 DataStax
JBOD support

                          Cassandra
                           Instance




                 HDD1   HDD2      HDD3   HDD4



©2012 DataStax
JBOD support

                          Cassandra
                           Instance




                 HDD1
                        X
                        HDD2      HDD3   HDD4



©2012 DataStax
Moving O(n) structures off-heap
 • Row (partition) bloom filter
           •     1-2GB per billion rows

     • Compression metadata
           •     ~20GB per TB compressed data




©2012 DataStax
On-Heap/Off-Heap

           On-Heap                          Off-Heap
           Managed by GC           Not managed by GC




                 JVM   Java Heap     Native Memory


                           Java Process

©2012 DataStax
Batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                                         Replica




©2012 DataStax
Batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                                         Replica




©2012 DataStax
Batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                                         Replica




©2012 DataStax
Batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                                         Replica




©2012 DataStax
Batches

                                        Partition
                                         Replica




                 Client

                          X
                          Coordinator
                            Node
                                        Partition
                                         Replica



                                        Partition
                                         Replica




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica



                          Coordinator   Partition
                 Client
                            Node         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica




                 Client

                          X
                          Coordinator
                            Node
                                        Partition
                                         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
Atomic batches

                                        Partition
                                         Replica




                 Client

                          X
                          Coordinator
                            Node
                                        Partition
                                         Replica



                                        Partition
                           Batchlog      Replica
                            Node




©2012 DataStax
CQL: You got SQL in my NoSQL!
 CREATE TABLE users (
    id uuid PRIMARY KEY,
    name text,
    state text,
    birth_date int
 );



 CREATE INDEX ON users(state);

 SELECT * FROM users WHERE state=‘Texas’ AND birth_date > 1950;




©2012 DataStax
Strictly “realtime” focused
  • No joins
  • No subqueries
  • No aggregation functions* or GROUP BY
  • Strictly limited ORDER BY




©2012 DataStax
songs
create column family songs
with key_validation_class = UUIDType
and comparator = UTF8Type -- cell names are strings
and column_metdata = [{column_name: title, validation_class: UTF8Type}
                      {column_name: album, validation_class: UTF8Type}
                      {column_name: artist, validation_class: UTF8Type
                      {column_name: data, validation_class: BytesType}


   a3e64f8f...     title: La Grange         artist: ZZ Top    album: Tres Hombres

  8a172618...     title: Moving in Stereo      artist: Fu Manchu     album: We Must Obey

  2b09185b...     title: Outside Woman Blues       artist: Back Door Slam   album: Roll Away



 ©2012 DataStax
CREATE TABLE songs (
   id uuid PRIMARY KEY,
   title text,
   artist text,
   album text,
   data blob
);




           id            title              artist          album
    a3e64f8f...        La Grange            ZZ Top       Tres Hombres
   8a172618...      Moving in Stereo      Fu Manchu      We Must Obey
   2b09185b...    Outside Woman Blues   Back Door Slam     Roll Away




©2012 DataStax
song_tags
create column family song_tags
with key_validation_class = UUIDType
and comparator = UTF8Type;


   a3e64f8f...   blues:    1973:

  8a172618...    covers:   2003:




©2012 DataStax
CREATE TABLE song_tags (
    id uuid,
    tag_name text,
    PRIMARY KEY (id, tag_name)
 );


       a3e64f8f...      blues:      1973:

      8a172618...       covers:      2003:




                 id       tag_name

          a3e64f8f...       blues
          a3e64f8f...       1973
         8a172618...       covers
         8a172618...        2003
©2012 DataStax
Easier way to add tags
   ALTER TABLE songs ADD tags set<text>;




          id            title            artist          album            tags
   a3e64f8f...        La Grange          ZZ Top       Tres Hombres    {blues, 1973}
  8a172618...      Moving in Stereo    Fu Manchu      We Must Obey   {covers, 2003}
  2b09185b...    Outside Woman Blues Back Door Slam     Roll Away




©2012 DataStax
playlists
create column family playlists
with key_validation_class = UUIDType
and comparator = 'CompositeType(UTF8Type, UTF8Type, UTF8Type)'
and default_validation_class = UUIDType;




62c36092...      La Grange,                   Moving in S...,                 Outside Wo...,
                 ZZ Top,      : a3e64f8f...   Fu Manchu,      : 8a172618...   Back Door ..., : 2b09185b...
                 Tres Hombres                 We Must O...                    Roll Away




©2012 DataStax
playlists
create column family playlists
with key_validation_class = UUIDType
and comparator = 'CompositeType(UTF8Type, UTF8Type, UTF8Type)'
and default_validation_class = UUIDType;




62c36092...      La Grange,                   Moving in S...,                 Outside Wo...,
                 ZZ Top,      : a3e64f8f...   Fu Manchu,      : 8a172618...   Back Door ..., : 2b09185b...
                 Tres Hombres                 We Must O...                    Roll Away




©2012 DataStax
CREATE TABLE playlists (
   id uuid,
   title text,
   album text,
   artist text,
   song_id uuid,
   PRIMARY KEY (id, title, album, artist)
);



62c36092...       La Grange,                    Moving in S...,                 Outside Wo...,
                  ZZ Top,      : a3e64f8f...    Fu Manchu,      : 8a172618...   Back Door ..., : 2b09185b...
                  Tres Hombres                  We Must O...                    Roll Away




             id               title              artist               album              song_id
      62c36092...         La Grange             ZZ Top           Tres Hombres           a3e64f8f...
      62c36092...     Moving in Stereo         Fu Manchu        We Must Obey           8a172618...
      62c36092...
©2012 DataStax          Outside Wo...      Back Door Slam           Roll Away          2b09185b...
Clustering
CREATE TABLE timeline (     user_id   tweet_id   _author    _body
  user_id uuid,             jbellis   3290f9da.. rbranson   lorem
  tweet_id timeuuid,
                            jbellis   3895411a..   tjake    ipsum
  tweet_author uuid,
                              ...         ...        ...
   tweet_body text,
  PRIMARY KEY (user_id,     driftx    3290f9da.. rbranson   lorem
                tweet_id)   driftx    71b46a84.. yzhang     dolor
);                            ...         ...       ...
                            yukim     3290f9da.. rbranson   lorem
SELECT * FROM timeline      yukim     e451dd42..   tjake     amet
WHERE user_id = ’driftx’;     ...         ...        ...




 ©2012 DataStax
Clustering
CREATE TABLE timeline (     user_id   tweet_id   _author    _body
  user_id uuid,             jbellis   3290f9da.. rbranson   lorem
  tweet_id timeuuid,
                            jbellis   3895411a..   tjake    ipsum
  tweet_author uuid,
                              ...         ...        ...
   tweet_body text,
  PRIMARY KEY (user_id,     driftx    3290f9da.. rbranson   lorem
                tweet_id)   driftx    71b46a84.. yzhang     dolor
);                            ...         ...       ...
                            yukim     3290f9da.. rbranson   lorem
SELECT * FROM timeline      yukim     e451dd42..   tjake     amet
WHERE user_id = ’driftx’;     ...         ...        ...




 ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM schema_keyspaces;

 keyspace_name | durable_writes | strategy_class | strategy_options
---------------+----------------+----------------+----------------------------
     keyspace1 |           True | SimpleStrategy | {"replication_factor":"1"}
        system |           True | LocalStrategy |                          {}
 system_traces |           True | SimpleStrategy | {"replication_factor":"1"}




  ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM schema_keyspaces;

 keyspace_name | durable_writes | strategy_class | strategy_options
---------------+----------------+----------------+----------------------------
     keyspace1 |           True | SimpleStrategy | {"replication_factor":"1"}
        system |           True | LocalStrategy |                          {}
 system_traces |           True | SimpleStrategy | {"replication_factor":"1"}




  ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM schema_keyspaces;

 keyspace_name | durable_writes | strategy_class | strategy_options
---------------+----------------+----------------+----------------------------
     keyspace1 |           True | SimpleStrategy | {"replication_factor":"1"}
        system |           True | LocalStrategy |                          {}
 system_traces |           True | SimpleStrategy | {"replication_factor":"1"}


cqlsh:system> SELECT * FROM schema_columnfamilies WHERE keyspace_name='keyspace1' AND
columnfamily_name='test';




  ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM schema_keyspaces;

 keyspace_name | durable_writes | strategy_class | strategy_options
---------------+----------------+----------------+----------------------------
     keyspace1 |           True | SimpleStrategy | {"replication_factor":"1"}
        system |           True | LocalStrategy |                          {}
 system_traces |           True | SimpleStrategy | {"replication_factor":"1"}


cqlsh:system> SELECT * FROM schema_columnfamilies WHERE keyspace_name='keyspace1' AND
columnfamily_name='test';


cqlsh:system> SELECT * FROM schema_columns WHERE keyspace_name='keyspace1' AND
columnfamily_name='test';




  ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM local;

 key   | bootstrapped | cluster_name | cql_version | data_center | gossip_generation |
partitioner                                 | rack | release_version       | ring_id
| thrift_version | tokens | truncated_at
-------+--------------+--------------+-------------+-------------+-------------------
+---------------------------------------------+-------+----------------------
+--------------------------------------+----------------+--------+--------------
 local |    COMPLETED |         test |       3.0.0 | datacenter1 |        1352846064 |
org.apache.cassandra.dht.Murmur3Partitioner | rack1 | 1.2.0-beta2-SNAPSHOT |
224c55d5-21b4-42b0-8969-afc0cc04e812 |        19.35.0 |    {0} |         null




  ©2012 DataStax
Data dictionary
cqlsh:system> SELECT * FROM peers LIMIT 1;

 peer      | data_center | rack | release_version        | ring_id
| rpc_address | schema_version                        | tokens
-----------+-------------+-------+----------------------
+--------------------------------------+-------------
+--------------------------------------+-----------------------
 127.0.0.3 | datacenter1 | rack1 | 1.2.0-beta2-SNAPSHOT | f6782327-
ef8e-41cf-87b9-2edc287b1ffe |   127.0.0.3 | 915ed888-ddd0-3448-860c-582f4eea1bc6 |
{6148914691236517204}




  ©2012 DataStax
Request tracing
 cqlsh:foo> INSERT INTO bar (i, j) VALUES (6, 2);
 Tracing session: 4ad36250-1eb4-11e2-0000-fe8ebeead9f9



  activity                            | timestamp    | source    | source_elapsed
 -------------------------------------+--------------+-----------+----------------
    Determining replicas for mutation | 00:02:37,015 | 127.0.0.1 |            540
        Sending message to /127.0.0.2 | 00:02:37,015 | 127.0.0.1 |            779
     Message received from /127.0.0.1 | 00:02:37,016 | 127.0.0.2 |             63
                    Applying mutation | 00:02:37,016 | 127.0.0.2 |            220
                 Acquiring switchLock | 00:02:37,016 | 127.0.0.2 |            250
               Appending to commitlog | 00:02:37,016 | 127.0.0.2 |            277
                   Adding to memtable | 00:02:37,016 | 127.0.0.2 |            378
     Enqueuing response to /127.0.0.1 | 00:02:37,016 | 127.0.0.2 |            710
        Sending message to /127.0.0.1 | 00:02:37,016 | 127.0.0.2 |            888
     Message received from /127.0.0.2 | 00:02:37,017 | 127.0.0.1 |           2334
  Processing response from /127.0.0.2 | 00:02:37,017 | 127.0.0.1 |           2550




©2012 DataStax
Tracing an antipattern
 CREATE TABLE queues (
    id text,
    created_at timeuuid,
    value blob,
    PRIMARY KEY (id, created_at)
 );

         id      created_at      value


    myqueue      3092e86f     9b0450d30de9
    myqueue      0867f47c     fc7aee5f6a66
    myqueue      5fc74be0     668fdb3a2196




©2012 DataStax
Tracing an antipattern
 CREATE TABLE queues (
    id text,
    created_at timeuuid,
    value blob,
    PRIMARY KEY (id, created_at)
 );

         id      created_at      value


    myqueue      3092e86f     9b0450d30de9
    myqueue      0867f47c     fc7aee5f6a66
    myqueue      5fc74be0     668fdb3a2196




©2012 DataStax
CREATE TABLE queues (
    id text,
    created_at timeuuid,
    value blob,
    PRIMARY KEY (id, created_at)
 );

         id      created_at      value


    myqueue      3092e86f     9b0450d30de9
    myqueue      0867f47c     fc7aee5f6a66
    myqueue      5fc74be0     668fdb3a2196




©2012 DataStax
cqlsh:foo> SELECT FROM queues WHERE id = 'myqueue' ORDER BY created_at LIMIT 1;
 Tracing session: 4ad36250-1eb4-11e2-0000-fe8ebeead9f9



  activity                                  | timestamp    | source    | source_elapsed
 ------------------------------------------+--------------+-----------+---------------
                         execute_cql3_query | 19:31:05,650 | 127.0.0.1 |              0
              Sending message to /127.0.0.3 | 19:31:05,651 | 127.0.0.1 |            541
           Message received from /127.0.0.1 | 19:31:05,651 | 127.0.0.3 |             39
           Executing single-partition query | 19:31:05,652 | 127.0.0.3 |            943
               Acquiring sstable references | 19:31:05,652 | 127.0.0.3 |            973
                  Merging memtable contents | 19:31:05,652 | 127.0.0.3 |           1020
  Merging data from memtables and sstables | 19:31:05,652 | 127.0.0.3 |            1081
   Read 1 live cells and 100000 tombstoned | 19:31:05,686 | 127.0.0.3 |           35072
           Enqueuing response to /127.0.0.1 | 19:31:05,687 | 127.0.0.3 |          35220
              Sending message to /127.0.0.1 | 19:31:05,687 | 127.0.0.3 |          35314
           Message received from /127.0.0.3 | 19:31:05,687 | 127.0.0.1 |          36908
       Processing response from /127.0.0.3 | 19:31:05,688 | 127.0.0.1 |           37650
                           Request complete | 19:31:05,688 | 127.0.0.1 |          38047




©2012 DataStax
C*ollege Credit: What's New in Apache Cassandra 1.2

Contenu connexe

Plus de DataStax

Plus de DataStax (20)

Is Your Enterprise Ready to Shine This Holiday Season?
Is Your Enterprise Ready to Shine This Holiday Season?Is Your Enterprise Ready to Shine This Holiday Season?
Is Your Enterprise Ready to Shine This Holiday Season?
 
Designing Fault-Tolerant Applications with DataStax Enterprise and Apache Cas...
Designing Fault-Tolerant Applications with DataStax Enterprise and Apache Cas...Designing Fault-Tolerant Applications with DataStax Enterprise and Apache Cas...
Designing Fault-Tolerant Applications with DataStax Enterprise and Apache Cas...
 
Running DataStax Enterprise in VMware Cloud and Hybrid Environments
Running DataStax Enterprise in VMware Cloud and Hybrid EnvironmentsRunning DataStax Enterprise in VMware Cloud and Hybrid Environments
Running DataStax Enterprise in VMware Cloud and Hybrid Environments
 
Best Practices for Getting to Production with DataStax Enterprise Graph
Best Practices for Getting to Production with DataStax Enterprise GraphBest Practices for Getting to Production with DataStax Enterprise Graph
Best Practices for Getting to Production with DataStax Enterprise Graph
 
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step Journey
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step JourneyWebinar | Data Management for Hybrid and Multi-Cloud: A Four-Step Journey
Webinar | Data Management for Hybrid and Multi-Cloud: A Four-Step Journey
 
Webinar | How to Understand Apache Cassandra™ Performance Through Read/Writ...
Webinar  |  How to Understand Apache Cassandra™ Performance Through Read/Writ...Webinar  |  How to Understand Apache Cassandra™ Performance Through Read/Writ...
Webinar | How to Understand Apache Cassandra™ Performance Through Read/Writ...
 
Webinar | Better Together: Apache Cassandra and Apache Kafka
Webinar  |  Better Together: Apache Cassandra and Apache KafkaWebinar  |  Better Together: Apache Cassandra and Apache Kafka
Webinar | Better Together: Apache Cassandra and Apache Kafka
 
Top 10 Best Practices for Apache Cassandra and DataStax Enterprise
Top 10 Best Practices for Apache Cassandra and DataStax EnterpriseTop 10 Best Practices for Apache Cassandra and DataStax Enterprise
Top 10 Best Practices for Apache Cassandra and DataStax Enterprise
 
Introduction to Apache Cassandra™ + What’s New in 4.0
Introduction to Apache Cassandra™ + What’s New in 4.0Introduction to Apache Cassandra™ + What’s New in 4.0
Introduction to Apache Cassandra™ + What’s New in 4.0
 
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
Webinar: How Active Everywhere Database Architecture Accelerates Hybrid Cloud...
 
Webinar | Aligning GDPR Requirements with Today's Hybrid Cloud Realities
Webinar  |  Aligning GDPR Requirements with Today's Hybrid Cloud RealitiesWebinar  |  Aligning GDPR Requirements with Today's Hybrid Cloud Realities
Webinar | Aligning GDPR Requirements with Today's Hybrid Cloud Realities
 
Designing a Distributed Cloud Database for Dummies
Designing a Distributed Cloud Database for DummiesDesigning a Distributed Cloud Database for Dummies
Designing a Distributed Cloud Database for Dummies
 
How to Power Innovation with Geo-Distributed Data Management in Hybrid Cloud
How to Power Innovation with Geo-Distributed Data Management in Hybrid CloudHow to Power Innovation with Geo-Distributed Data Management in Hybrid Cloud
How to Power Innovation with Geo-Distributed Data Management in Hybrid Cloud
 
How to Evaluate Cloud Databases for eCommerce
How to Evaluate Cloud Databases for eCommerceHow to Evaluate Cloud Databases for eCommerce
How to Evaluate Cloud Databases for eCommerce
 
Webinar: DataStax Enterprise 6: 10 Ways to Multiply the Power of Apache Cassa...
Webinar: DataStax Enterprise 6: 10 Ways to Multiply the Power of Apache Cassa...Webinar: DataStax Enterprise 6: 10 Ways to Multiply the Power of Apache Cassa...
Webinar: DataStax Enterprise 6: 10 Ways to Multiply the Power of Apache Cassa...
 
Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...
Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...
Webinar: DataStax and Microsoft Azure: Empowering the Right-Now Enterprise wi...
 
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...
 
Datastax - The Architect's guide to customer experience (CX)
Datastax - The Architect's guide to customer experience (CX)Datastax - The Architect's guide to customer experience (CX)
Datastax - The Architect's guide to customer experience (CX)
 
An Operational Data Layer is Critical for Transformative Banking Applications
An Operational Data Layer is Critical for Transformative Banking ApplicationsAn Operational Data Layer is Critical for Transformative Banking Applications
An Operational Data Layer is Critical for Transformative Banking Applications
 
Becoming a Customer-Centric Enterprise Via Real-Time Data and Design Thinking
Becoming a Customer-Centric Enterprise Via Real-Time Data and Design ThinkingBecoming a Customer-Centric Enterprise Via Real-Time Data and Design Thinking
Becoming a Customer-Centric Enterprise Via Real-Time Data and Design Thinking
 

Dernier

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024Top 10 Most Downloaded Games on Play Store in 2024
Top 10 Most Downloaded Games on Play Store in 2024
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

C*ollege Credit: What's New in Apache Cassandra 1.2

  • 1. Cassandra 1.2 Jonathan Ellis Project Chair, Apache Cassandra CTO, DataStax @spyced
  • 2. C* in a nutshell • Massively scalable • High performance • Reliable/Available ©2012 DataStax 2
  • 4. 1.2 • Concurrent schema • Atomic batches changes • CQL3 • Virtual nodes • Collections • “Fat node” support • Data dictionary • JBOD improvements • Tracing • Off-heap bloom filters, compression metadata • Parallel leveled compaction ©2012 DataStax
  • 5. Concurrent Schema Changes CREATE TABLE X; ... DROP TABLE X; Client Cassandra Cluster Client CREATE TABLE Y; ... ©2012 DataStax DROP TABLE Y;
  • 6. Virtual nodes A C D B E A F F B P G Ring without Ring with vnodes vnodes O H E C N I M J D L K ©2012 DataStax
  • 7. Virtual nodes A C D B E A F F B P G Ring without Ring with vnodes vnodes O H E C N I M J D L K ©2012 DataStax
  • 8. Virtual nodes A C D B E A F F B P G Ring without Ring with vnodes vnodes O H E C N I M J D L K ©2012 DataStax
  • 9. Node Rebuild without vnodes Node 1 Node 2 Node 3 A B C F E A F B A A F B Ring without vnodes E C D D E F C B D C E D Node 4 Node 5 Node 6 ©2012 DataStax
  • 10. Node Rebuild with vnodes Node 1 Node 2 Node 3 B E A P K G G K M O C N C D D J D H J F B E A F L A K F P I P Ring with G O VNodes H N I M O E P H C M J L K I H I A B O B L M C N E F D G N J L Node 4 Node 5 Node 6 ©2012 DataStax
  • 11. JBOD support Cassandra Instance HDD1 HDD2 HDD3 HDD4 ©2012 DataStax
  • 12. JBOD support Cassandra Instance HDD1 X HDD2 HDD3 HDD4 ©2012 DataStax
  • 13. Moving O(n) structures off-heap • Row (partition) bloom filter • 1-2GB per billion rows • Compression metadata • ~20GB per TB compressed data ©2012 DataStax
  • 14. On-Heap/Off-Heap On-Heap Off-Heap Managed by GC Not managed by GC JVM Java Heap Native Memory Java Process ©2012 DataStax
  • 15. Batches Partition Replica Coordinator Partition Client Node Replica Partition Replica ©2012 DataStax
  • 16. Batches Partition Replica Coordinator Partition Client Node Replica Partition Replica ©2012 DataStax
  • 17. Batches Partition Replica Coordinator Partition Client Node Replica Partition Replica ©2012 DataStax
  • 18. Batches Partition Replica Coordinator Partition Client Node Replica Partition Replica ©2012 DataStax
  • 19. Batches Partition Replica Client X Coordinator Node Partition Replica Partition Replica ©2012 DataStax
  • 20. Atomic batches Partition Replica Coordinator Partition Client Node Replica Partition Batchlog Replica Node ©2012 DataStax
  • 21. Atomic batches Partition Replica Coordinator Partition Client Node Replica Partition Batchlog Replica Node ©2012 DataStax
  • 22. Atomic batches Partition Replica Coordinator Partition Client Node Replica Partition Batchlog Replica Node ©2012 DataStax
  • 23. Atomic batches Partition Replica Coordinator Partition Client Node Replica Partition Batchlog Replica Node ©2012 DataStax
  • 24. Atomic batches Partition Replica Client X Coordinator Node Partition Replica Partition Batchlog Replica Node ©2012 DataStax
  • 25. Atomic batches Partition Replica Client X Coordinator Node Partition Replica Partition Batchlog Replica Node ©2012 DataStax
  • 26. CQL: You got SQL in my NoSQL! CREATE TABLE users ( id uuid PRIMARY KEY, name text, state text, birth_date int ); CREATE INDEX ON users(state); SELECT * FROM users WHERE state=‘Texas’ AND birth_date > 1950; ©2012 DataStax
  • 27. Strictly “realtime” focused • No joins • No subqueries • No aggregation functions* or GROUP BY • Strictly limited ORDER BY ©2012 DataStax
  • 28. songs create column family songs with key_validation_class = UUIDType and comparator = UTF8Type -- cell names are strings and column_metdata = [{column_name: title, validation_class: UTF8Type} {column_name: album, validation_class: UTF8Type} {column_name: artist, validation_class: UTF8Type {column_name: data, validation_class: BytesType} a3e64f8f... title: La Grange artist: ZZ Top album: Tres Hombres 8a172618... title: Moving in Stereo artist: Fu Manchu album: We Must Obey 2b09185b... title: Outside Woman Blues artist: Back Door Slam album: Roll Away ©2012 DataStax
  • 29. CREATE TABLE songs ( id uuid PRIMARY KEY, title text, artist text, album text, data blob ); id title artist album a3e64f8f... La Grange ZZ Top Tres Hombres 8a172618... Moving in Stereo Fu Manchu We Must Obey 2b09185b... Outside Woman Blues Back Door Slam Roll Away ©2012 DataStax
  • 30. song_tags create column family song_tags with key_validation_class = UUIDType and comparator = UTF8Type; a3e64f8f... blues: 1973: 8a172618... covers: 2003: ©2012 DataStax
  • 31. CREATE TABLE song_tags ( id uuid, tag_name text, PRIMARY KEY (id, tag_name) ); a3e64f8f... blues: 1973: 8a172618... covers: 2003: id tag_name a3e64f8f... blues a3e64f8f... 1973 8a172618... covers 8a172618... 2003 ©2012 DataStax
  • 32. Easier way to add tags ALTER TABLE songs ADD tags set<text>; id title artist album tags a3e64f8f... La Grange ZZ Top Tres Hombres {blues, 1973} 8a172618... Moving in Stereo Fu Manchu We Must Obey {covers, 2003} 2b09185b... Outside Woman Blues Back Door Slam Roll Away ©2012 DataStax
  • 33. playlists create column family playlists with key_validation_class = UUIDType and comparator = 'CompositeType(UTF8Type, UTF8Type, UTF8Type)' and default_validation_class = UUIDType; 62c36092... La Grange, Moving in S..., Outside Wo..., ZZ Top, : a3e64f8f... Fu Manchu, : 8a172618... Back Door ..., : 2b09185b... Tres Hombres We Must O... Roll Away ©2012 DataStax
  • 34. playlists create column family playlists with key_validation_class = UUIDType and comparator = 'CompositeType(UTF8Type, UTF8Type, UTF8Type)' and default_validation_class = UUIDType; 62c36092... La Grange, Moving in S..., Outside Wo..., ZZ Top, : a3e64f8f... Fu Manchu, : 8a172618... Back Door ..., : 2b09185b... Tres Hombres We Must O... Roll Away ©2012 DataStax
  • 35. CREATE TABLE playlists ( id uuid, title text, album text, artist text, song_id uuid, PRIMARY KEY (id, title, album, artist) ); 62c36092... La Grange, Moving in S..., Outside Wo..., ZZ Top, : a3e64f8f... Fu Manchu, : 8a172618... Back Door ..., : 2b09185b... Tres Hombres We Must O... Roll Away id title artist album song_id 62c36092... La Grange ZZ Top Tres Hombres a3e64f8f... 62c36092... Moving in Stereo Fu Manchu We Must Obey 8a172618... 62c36092... ©2012 DataStax Outside Wo... Back Door Slam Roll Away 2b09185b...
  • 36. Clustering CREATE TABLE timeline ( user_id tweet_id _author _body   user_id uuid, jbellis 3290f9da.. rbranson lorem   tweet_id timeuuid, jbellis 3895411a.. tjake ipsum   tweet_author uuid, ... ... ... tweet_body text,   PRIMARY KEY (user_id, driftx 3290f9da.. rbranson lorem tweet_id) driftx 71b46a84.. yzhang dolor ); ... ... ... yukim 3290f9da.. rbranson lorem SELECT * FROM timeline yukim e451dd42.. tjake amet WHERE user_id = ’driftx’; ... ... ... ©2012 DataStax
  • 37. Clustering CREATE TABLE timeline ( user_id tweet_id _author _body   user_id uuid, jbellis 3290f9da.. rbranson lorem   tweet_id timeuuid, jbellis 3895411a.. tjake ipsum   tweet_author uuid, ... ... ... tweet_body text,   PRIMARY KEY (user_id, driftx 3290f9da.. rbranson lorem tweet_id) driftx 71b46a84.. yzhang dolor ); ... ... ... yukim 3290f9da.. rbranson lorem SELECT * FROM timeline yukim e451dd42.. tjake amet WHERE user_id = ’driftx’; ... ... ... ©2012 DataStax
  • 38. Data dictionary cqlsh:system> SELECT * FROM schema_keyspaces; keyspace_name | durable_writes | strategy_class | strategy_options ---------------+----------------+----------------+---------------------------- keyspace1 | True | SimpleStrategy | {"replication_factor":"1"} system | True | LocalStrategy | {} system_traces | True | SimpleStrategy | {"replication_factor":"1"} ©2012 DataStax
  • 39. Data dictionary cqlsh:system> SELECT * FROM schema_keyspaces; keyspace_name | durable_writes | strategy_class | strategy_options ---------------+----------------+----------------+---------------------------- keyspace1 | True | SimpleStrategy | {"replication_factor":"1"} system | True | LocalStrategy | {} system_traces | True | SimpleStrategy | {"replication_factor":"1"} ©2012 DataStax
  • 40. Data dictionary cqlsh:system> SELECT * FROM schema_keyspaces; keyspace_name | durable_writes | strategy_class | strategy_options ---------------+----------------+----------------+---------------------------- keyspace1 | True | SimpleStrategy | {"replication_factor":"1"} system | True | LocalStrategy | {} system_traces | True | SimpleStrategy | {"replication_factor":"1"} cqlsh:system> SELECT * FROM schema_columnfamilies WHERE keyspace_name='keyspace1' AND columnfamily_name='test'; ©2012 DataStax
  • 41. Data dictionary cqlsh:system> SELECT * FROM schema_keyspaces; keyspace_name | durable_writes | strategy_class | strategy_options ---------------+----------------+----------------+---------------------------- keyspace1 | True | SimpleStrategy | {"replication_factor":"1"} system | True | LocalStrategy | {} system_traces | True | SimpleStrategy | {"replication_factor":"1"} cqlsh:system> SELECT * FROM schema_columnfamilies WHERE keyspace_name='keyspace1' AND columnfamily_name='test'; cqlsh:system> SELECT * FROM schema_columns WHERE keyspace_name='keyspace1' AND columnfamily_name='test'; ©2012 DataStax
  • 42. Data dictionary cqlsh:system> SELECT * FROM local; key | bootstrapped | cluster_name | cql_version | data_center | gossip_generation | partitioner | rack | release_version | ring_id | thrift_version | tokens | truncated_at -------+--------------+--------------+-------------+-------------+------------------- +---------------------------------------------+-------+---------------------- +--------------------------------------+----------------+--------+-------------- local | COMPLETED | test | 3.0.0 | datacenter1 | 1352846064 | org.apache.cassandra.dht.Murmur3Partitioner | rack1 | 1.2.0-beta2-SNAPSHOT | 224c55d5-21b4-42b0-8969-afc0cc04e812 | 19.35.0 | {0} | null ©2012 DataStax
  • 43. Data dictionary cqlsh:system> SELECT * FROM peers LIMIT 1; peer | data_center | rack | release_version | ring_id | rpc_address | schema_version | tokens -----------+-------------+-------+---------------------- +--------------------------------------+------------- +--------------------------------------+----------------------- 127.0.0.3 | datacenter1 | rack1 | 1.2.0-beta2-SNAPSHOT | f6782327- ef8e-41cf-87b9-2edc287b1ffe | 127.0.0.3 | 915ed888-ddd0-3448-860c-582f4eea1bc6 | {6148914691236517204} ©2012 DataStax
  • 44. Request tracing cqlsh:foo> INSERT INTO bar (i, j) VALUES (6, 2); Tracing session: 4ad36250-1eb4-11e2-0000-fe8ebeead9f9 activity | timestamp | source | source_elapsed -------------------------------------+--------------+-----------+---------------- Determining replicas for mutation | 00:02:37,015 | 127.0.0.1 | 540 Sending message to /127.0.0.2 | 00:02:37,015 | 127.0.0.1 | 779 Message received from /127.0.0.1 | 00:02:37,016 | 127.0.0.2 | 63 Applying mutation | 00:02:37,016 | 127.0.0.2 | 220 Acquiring switchLock | 00:02:37,016 | 127.0.0.2 | 250 Appending to commitlog | 00:02:37,016 | 127.0.0.2 | 277 Adding to memtable | 00:02:37,016 | 127.0.0.2 | 378 Enqueuing response to /127.0.0.1 | 00:02:37,016 | 127.0.0.2 | 710 Sending message to /127.0.0.1 | 00:02:37,016 | 127.0.0.2 | 888 Message received from /127.0.0.2 | 00:02:37,017 | 127.0.0.1 | 2334 Processing response from /127.0.0.2 | 00:02:37,017 | 127.0.0.1 | 2550 ©2012 DataStax
  • 45. Tracing an antipattern CREATE TABLE queues ( id text, created_at timeuuid, value blob, PRIMARY KEY (id, created_at) ); id created_at value myqueue 3092e86f 9b0450d30de9 myqueue 0867f47c fc7aee5f6a66 myqueue 5fc74be0 668fdb3a2196 ©2012 DataStax
  • 46. Tracing an antipattern CREATE TABLE queues ( id text, created_at timeuuid, value blob, PRIMARY KEY (id, created_at) ); id created_at value myqueue 3092e86f 9b0450d30de9 myqueue 0867f47c fc7aee5f6a66 myqueue 5fc74be0 668fdb3a2196 ©2012 DataStax
  • 47. CREATE TABLE queues ( id text, created_at timeuuid, value blob, PRIMARY KEY (id, created_at) ); id created_at value myqueue 3092e86f 9b0450d30de9 myqueue 0867f47c fc7aee5f6a66 myqueue 5fc74be0 668fdb3a2196 ©2012 DataStax
  • 48. cqlsh:foo> SELECT FROM queues WHERE id = 'myqueue' ORDER BY created_at LIMIT 1; Tracing session: 4ad36250-1eb4-11e2-0000-fe8ebeead9f9 activity | timestamp | source | source_elapsed ------------------------------------------+--------------+-----------+--------------- execute_cql3_query | 19:31:05,650 | 127.0.0.1 | 0 Sending message to /127.0.0.3 | 19:31:05,651 | 127.0.0.1 | 541 Message received from /127.0.0.1 | 19:31:05,651 | 127.0.0.3 | 39 Executing single-partition query | 19:31:05,652 | 127.0.0.3 | 943 Acquiring sstable references | 19:31:05,652 | 127.0.0.3 | 973 Merging memtable contents | 19:31:05,652 | 127.0.0.3 | 1020 Merging data from memtables and sstables | 19:31:05,652 | 127.0.0.3 | 1081 Read 1 live cells and 100000 tombstoned | 19:31:05,686 | 127.0.0.3 | 35072 Enqueuing response to /127.0.0.1 | 19:31:05,687 | 127.0.0.3 | 35220 Sending message to /127.0.0.1 | 19:31:05,687 | 127.0.0.3 | 35314 Message received from /127.0.0.3 | 19:31:05,687 | 127.0.0.1 | 36908 Processing response from /127.0.0.3 | 19:31:05,688 | 127.0.0.1 | 37650 Request complete | 19:31:05,688 | 127.0.0.1 | 38047 ©2012 DataStax