https://github.com/yukim/cassandra-bulkload-example

https://github.com/yukim/cassandra-bulkload-example

Last synced: 7 days ago
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• Host: GitHub
• URL: https://github.com/yukim/cassandra-bulkload-example
• Owner: yukim
• License: apache-2.0
• Created: 2014-09-26T15:11:10.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2016-02-21T16:23:04.000Z (almost 9 years ago)
• Last Synced: 2024-07-31T19:15:30.468Z (5 months ago)
• Language: Java
• Size: 57.6 KB
• Stars: 67
• Watchers: 9
• Forks: 34
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# cassandra-bulkload-example

Sample SSTable generating and bulk loading code for DataStax [Using Cassandra Bulk Loader, Updated](http://www.datastax.com/dev/blog/using-the-cassandra-bulk-loader-updated) blog post.

This fetches historical prices from [Yahoo! Finance](http://finance.yahoo.com/) in CSV format, and turn them to SSTables.

## Generating SSTables

Run:

    $ ./gradlew run

This will generate SSTable(s) under `data` directory.

## Bulk loading

First, create schema using `schema.cql` file:

    $ cqlsh -f schema.cql

Then, load SSTables to Cassandra using `sstableloader`:

    $ sstableloader -d  data/quote/historical_prices

(assuming you have `cqlsh` and `sstableloader` in your `$PATH`)

## Check loaded data

    $ bin/cqlsh

    Connected to Test Cluster at 127.0.0.1:9042.

    [cqlsh 5.0.1 | Cassandra 2.1.0 | CQL spec 3.2.0 | Native protocol v3]

    Use HELP for help.

    cqlsh> USE quote ;

    cqlsh:quote> SELECT * FROM historical_prices WHERE ticker = 'ORCL' LIMIT 3;

     ticker | date                     | adj_close | close | high  | low   | open  | volume

    --------+--------------------------+-----------+-------+-------+-------+-------+----------

       ORCL | 2014-09-25 00:00:00-0500 |     38.76 | 38.76 | 39.35 | 38.65 | 39.35 | 13287800

       ORCL | 2014-09-24 00:00:00-0500 |     39.42 | 39.42 | 39.56 | 38.57 | 38.77 | 18906200

       ORCL | 2014-09-23 00:00:00-0500 |     38.83 | 38.83 | 39.59 | 38.80 | 39.50 | 34353300

    (3 rows)

Voilà!