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Brisk: More Powerful Hadoop
    Powered by Cassandra
    jbellis@datastax.com




Monday, July 25, 2011
The evolution of Analytics




                        Analytics + Realtime


Monday, July 25, 2011
The evolution of Analytics




                                    replication




                        Analytics                 Realtime



Monday, July 25, 2011
The evolution of Analytics




                         ETL




Monday, July 25, 2011
Brisk re-unifies realtime and analytics




Monday, July 25, 2011
The Traditional Hadoop Stack
                                          Slave Nodes
                 Master Nodes
                                                Data Node
                        Name Node
                                                Task Tracker
                    Secondary Name Node
                                               Region Server
                         Job Tracker

                        Hbase Master      Client Nodes
                                                    Pig
                         ZooKeeper
                                                    Hive
                         MetaStore
                                               Region Server


Monday, July 25, 2011
7

Monday, July 25, 2011
Brisk Architecture




Monday, July 25, 2011
Brisk Highlights

          ✤    Easy to deploy and operate
          ✤    No single points of failure
          ✤    Scale and change nodes with no downtime
          ✤    Cross-DC, multi-master clusters
          ✤    Allocate resources for OLAP vs OLTP
                ✤       With no ETL




Monday, July 25, 2011
Cassandra data model

          ✤    ColumnFamilies contain rows + columns
          ✤    (Not really schemaless for a while now)


                                  password              name             site
                        zznate           *       Nate McCall
                        driftx           *   Brandon Williams
                        jbellis          *      Jonathan Ellis   datastax.com




Monday, July 25, 2011
Sparse

                                  password         name
                        zznate
                                     *          Nate McCall

                                  password         name
                        driftx
                                     *       Brandon Williams

                                  password       name             site
                        jbellis
                                     *       Jonathan Ellis   datastax.com




Monday, July 25, 2011
Rows as containers / materialized views

                                  driftx   thobbs pcmanus jbellis zznate
                        circle1

                                  xedin    mdennis
                        circle2

                                  xedin     pcmanus    ymorishita
                        circle3




Monday, July 25, 2011
Monday, July 25, 2011
CassandraFS

          ✤    data stored as ByteBuffer internally -- excellent fit for blocks
          ✤    local reads mmap data directly (no rpc)
          ✤    blocks are compressed with google snappy
          ✤    hadoop distcp hdfs:///mydata cfs:///mydata




Monday, July 25, 2011
Hive support

          ✤    Hive MetaStore in Cassandra
                ✤       Unified schema view from any node, with no external systems
                        and no SPOF
                ✤       Automatically maps Cassandra column families to Hive tables
          ✤    Supports static and dynamic column families (and supercolumns)




Monday, July 25, 2011
Hive: CFS and ColumnFamilies

         CREATE TABLE users (name STRING, zip INT); 
         LOAD DATA LOCAL INPATH 'kv2.txt' OVERWRITE INTO TABLE users;
          

         CREATE EXTERNAL TABLE Keyspace1.Users(name STRING, zip INT)
         STORED BY
         'org.apache.hadoop.hive.cassandra.CassandraStorageHandler';


         CREATE EXTERNAL TABLE Keyspace1.Users
         (row_key STRING, column_name STRING, value string)
         STORED BY
         'org.apache.hadoop.hive.cassandra.CassandraStorageHandler';




Monday, July 25, 2011
Pig Support

    ✤    With standard Cassandra:
         $ export PIG_HOME=/path/to/pig
         $ export PIG_INITIAL_ADDRESS=localhost

         $ export PIG_RPC_PORT=9160
         $ export
         PIG_PARTITIONER=org.apache.cassandra.dht.RandomPartitioner
         $ contrib/pig/bin/pig_cassandra

         grunt>

    ✤    With Brisk:
         $ bin/brisk pig
         grunt>


Monday, July 25, 2011
Pig: CFS and ColumnFamilies

         grunt> data = LOAD 'cfs:///example.txt' using PigStorage() as
         (name:chararray, value:long);


         data = LOAD 'cassandra://Demo1/Scores' using CassandraStorage()
         AS (key, columns: {T: tuple(name, value)});


         data = LOAD 'cassandra://Demo1/Scores&slice_start=M&slice_end=S'
         using CassandraStorage() AS (key, columns: {T: tuple(name,
         value)});




Monday, July 25, 2011
19

Monday, July 25, 2011
Data model: Realtime
               LiveStocks
                                      last
                         GOOG        $95.52
                          AAPL       $186.10
                         AMZN        $112.98


                 Portfolios
                                     GOOG      LNKD       P        AMZN    AAPLE
                        Portfolio1
                                      80        20       40        100       20


                 StockHist
                                     2011-01-01       2011-01-02     2011-01-03
                         GOOG
                                       $79.85          $75.23            $82.11



Monday, July 25, 2011
Data model: Analytics
               HistLoss
                                     worst_date    loss
                        Portfolio1   2011-07-23   -$34.81
                        Portfolio2   2011-03-11 -$11432.24
                        Portfolio3   2011-05-21 -$1476.93




Monday, July 25, 2011
Data model: Analytics
               10dayreturns
                   ticker      rdate     return
                   GOOG     2011-07-25   $8.23
                   GOOG     2011-07-24   $6.14
                   GOOG     2011-07-23   $7.78
                   AAPL     2011-07-25   $15.32
                   AAPL     2011-07-24   $12.68


              INSERT OVERWRITE TABLE 10dayreturns
              SELECT a.row_key ticker,
                     b.column_name rdate,
                     b.value - a.value
              FROM StockHist a
              JOIN StockHist b
              ON (a.row_key = b.row_key
                  AND date_add(a.column_name,10) = b.column_name);



Monday, July 25, 2011
2011-01-01     2011-01-02   2011-01-03
                GOOG
                           $79.85         $75.23       $82.11




             row_key column_name      value
              GOOG    2011-01-01      $8.23
              GOOG    2011-01-02      $6.14
              GOOG 2011-001-03        $7.78




Monday, July 25, 2011
Data model: Analytics
               portfolio_returns
                    portfolio       rdate      preturn
                    Portfolio1   2011-07-25    $118.21
                    Portfolio1   2011-07-24     $60.78
                    Portfolio1   2011-07-23    -$34.81
                    Portfolio2   2011-07-25   $2143.92
                    Portfolio3   2011-07-24    -$10.19


               INSERT OVERWRITE TABLE portfolio_returns
               SELECT row_key portfolio,
                      rdate,
                      SUM(b.return)
               FROM portfolios a JOIN 10dayreturns b
               ON (a.column_name = b.ticker)
               GROUP BY row_key, rdate;




Monday, July 25, 2011
Data model: Analytics
               HistLoss
                                     worst_date    loss
                        Portfolio1   2011-07-23   -$34.81
                        Portfolio2   2011-03-11 -$11432.24
                        Portfolio3   2011-05-21 -$1476.93



               INSERT OVERWRITE TABLE HistLoss
               SELECT a.portfolio, rdate, minp
               FROM (
                 SELECT portfolio, min(preturn) as minp
                 FROM portfolio_returns
                 GROUP BY portfolio
               ) a
               JOIN portfolio_returns b
               ON (a.portfolio = b.portfolio and a.minp = b.preturn);



Monday, July 25, 2011
Portfolio Demo dataflow


     Portfolios               Web-based Portfolios
     Historical Prices        Live Prices for today
     Intermediate Results
     Largest loss             Largest loss




Monday, July 25, 2011
OpsCenter




Monday, July 25, 2011
Monday, July 25, 2011
Where to get it

    ✤    http://www.datastax.com/brisk




Monday, July 25, 2011
Monday, July 25, 2011

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Brisk: more powerful Hadoop powered by Cassandra

  • 1. Brisk: More Powerful Hadoop Powered by Cassandra jbellis@datastax.com Monday, July 25, 2011
  • 2. The evolution of Analytics Analytics + Realtime Monday, July 25, 2011
  • 3. The evolution of Analytics replication Analytics Realtime Monday, July 25, 2011
  • 4. The evolution of Analytics ETL Monday, July 25, 2011
  • 5. Brisk re-unifies realtime and analytics Monday, July 25, 2011
  • 6. The Traditional Hadoop Stack Slave Nodes Master Nodes Data Node Name Node Task Tracker Secondary Name Node Region Server Job Tracker Hbase Master Client Nodes Pig ZooKeeper Hive MetaStore Region Server Monday, July 25, 2011
  • 9. Brisk Highlights ✤ Easy to deploy and operate ✤ No single points of failure ✤ Scale and change nodes with no downtime ✤ Cross-DC, multi-master clusters ✤ Allocate resources for OLAP vs OLTP ✤ With no ETL Monday, July 25, 2011
  • 10. Cassandra data model ✤ ColumnFamilies contain rows + columns ✤ (Not really schemaless for a while now) password name site zznate * Nate McCall driftx * Brandon Williams jbellis * Jonathan Ellis datastax.com Monday, July 25, 2011
  • 11. Sparse password name zznate * Nate McCall password name driftx * Brandon Williams password name site jbellis * Jonathan Ellis datastax.com Monday, July 25, 2011
  • 12. Rows as containers / materialized views driftx thobbs pcmanus jbellis zznate circle1 xedin mdennis circle2 xedin pcmanus ymorishita circle3 Monday, July 25, 2011
  • 14. CassandraFS ✤ data stored as ByteBuffer internally -- excellent fit for blocks ✤ local reads mmap data directly (no rpc) ✤ blocks are compressed with google snappy ✤ hadoop distcp hdfs:///mydata cfs:///mydata Monday, July 25, 2011
  • 15. Hive support ✤ Hive MetaStore in Cassandra ✤ Unified schema view from any node, with no external systems and no SPOF ✤ Automatically maps Cassandra column families to Hive tables ✤ Supports static and dynamic column families (and supercolumns) Monday, July 25, 2011
  • 16. Hive: CFS and ColumnFamilies CREATE TABLE users (name STRING, zip INT);  LOAD DATA LOCAL INPATH 'kv2.txt' OVERWRITE INTO TABLE users;   CREATE EXTERNAL TABLE Keyspace1.Users(name STRING, zip INT) STORED BY 'org.apache.hadoop.hive.cassandra.CassandraStorageHandler'; CREATE EXTERNAL TABLE Keyspace1.Users (row_key STRING, column_name STRING, value string) STORED BY 'org.apache.hadoop.hive.cassandra.CassandraStorageHandler'; Monday, July 25, 2011
  • 17. Pig Support ✤ With standard Cassandra: $ export PIG_HOME=/path/to/pig $ export PIG_INITIAL_ADDRESS=localhost $ export PIG_RPC_PORT=9160 $ export PIG_PARTITIONER=org.apache.cassandra.dht.RandomPartitioner $ contrib/pig/bin/pig_cassandra grunt> ✤ With Brisk: $ bin/brisk pig grunt> Monday, July 25, 2011
  • 18. Pig: CFS and ColumnFamilies grunt> data = LOAD 'cfs:///example.txt' using PigStorage() as (name:chararray, value:long); data = LOAD 'cassandra://Demo1/Scores' using CassandraStorage() AS (key, columns: {T: tuple(name, value)}); data = LOAD 'cassandra://Demo1/Scores&slice_start=M&slice_end=S' using CassandraStorage() AS (key, columns: {T: tuple(name, value)}); Monday, July 25, 2011
  • 20. Data model: Realtime LiveStocks last GOOG $95.52 AAPL $186.10 AMZN $112.98 Portfolios GOOG LNKD P AMZN AAPLE Portfolio1 80 20 40 100 20 StockHist 2011-01-01 2011-01-02 2011-01-03 GOOG $79.85 $75.23 $82.11 Monday, July 25, 2011
  • 21. Data model: Analytics HistLoss worst_date loss Portfolio1 2011-07-23 -$34.81 Portfolio2 2011-03-11 -$11432.24 Portfolio3 2011-05-21 -$1476.93 Monday, July 25, 2011
  • 22. Data model: Analytics 10dayreturns ticker rdate return GOOG 2011-07-25 $8.23 GOOG 2011-07-24 $6.14 GOOG 2011-07-23 $7.78 AAPL 2011-07-25 $15.32 AAPL 2011-07-24 $12.68 INSERT OVERWRITE TABLE 10dayreturns SELECT a.row_key ticker, b.column_name rdate, b.value - a.value FROM StockHist a JOIN StockHist b ON (a.row_key = b.row_key AND date_add(a.column_name,10) = b.column_name); Monday, July 25, 2011
  • 23. 2011-01-01 2011-01-02 2011-01-03 GOOG $79.85 $75.23 $82.11 row_key column_name value GOOG 2011-01-01 $8.23 GOOG 2011-01-02 $6.14 GOOG 2011-001-03 $7.78 Monday, July 25, 2011
  • 24. Data model: Analytics portfolio_returns portfolio rdate preturn Portfolio1 2011-07-25 $118.21 Portfolio1 2011-07-24 $60.78 Portfolio1 2011-07-23 -$34.81 Portfolio2 2011-07-25 $2143.92 Portfolio3 2011-07-24 -$10.19 INSERT OVERWRITE TABLE portfolio_returns SELECT row_key portfolio, rdate, SUM(b.return) FROM portfolios a JOIN 10dayreturns b ON (a.column_name = b.ticker) GROUP BY row_key, rdate; Monday, July 25, 2011
  • 25. Data model: Analytics HistLoss worst_date loss Portfolio1 2011-07-23 -$34.81 Portfolio2 2011-03-11 -$11432.24 Portfolio3 2011-05-21 -$1476.93 INSERT OVERWRITE TABLE HistLoss SELECT a.portfolio, rdate, minp FROM ( SELECT portfolio, min(preturn) as minp FROM portfolio_returns GROUP BY portfolio ) a JOIN portfolio_returns b ON (a.portfolio = b.portfolio and a.minp = b.preturn); Monday, July 25, 2011
  • 26. Portfolio Demo dataflow Portfolios Web-based Portfolios Historical Prices Live Prices for today Intermediate Results Largest loss Largest loss Monday, July 25, 2011
  • 29. Where to get it ✤ http://www.datastax.com/brisk Monday, July 25, 2011