[jira] Updated: (CASSANDRA-674) New SSTable Format

["Stu Hood (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/CASSANDRA-674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Stu Hood updated CASSANDRA-674:
-------------------------------

    Attachment: 674-v1.diff

> New SSTable Format
> ------------------
>
>                 Key: CASSANDRA-674
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-674
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Core
>    Affects Versions: 0.9
>            Reporter: Stu Hood
>            Assignee: Stu Hood
>             Fix For: 0.9
>
>         Attachments: 674-v1.diff
>
>
> Various tickets exist due to limitations in the SSTable file format, including #16, #47 and #328. Attached is a proposed design/implementation of a new file format for SSTables that addresses a few of these limitations. The implementation has a bunch of issues/fixmes, which I'll describe in the comments.
> The file format is described in the javadoc for the o.a.c.io.SSTableWriter class, but briefly:
>  * Blocks are opaque (except for their header) so that they can be compressed. The index file contains an entry for the first key in every Block. Blocks contain Slices.
>  * Slices are series of columns with the same parents and (deletion) metadata. They can be used to represent ColumnFamilies or SuperColumns (or a slice of columns at any other depth). A single CF can be split across multiple Slices, which can be split across multiple blocks.
>  * Neither Slices nor Blocks have a fixed size or maximum length, but they each have target lengths which can be stretched and broken by very large columns.
> The most interesting concepts from this patch are:
>  * Block compression is possible (currently using GZIP, which has one bug mentioned in the comments),
>  * Compaction involves merging intersecting Slices from input SSTables. Since large rows will be broken down into multiple slices, only the portions of rows that intersect between tables need to be deserialized/merged/held-in-memory,
>  * Indexes for individual rows are gone, since the global index allows random access to the middle of column families that span Blocks, and Slices allow batches of columns to be skipped within a Block.
>  * Bloom filters for individual rows are gone, and the global filter contains ColumnKeys instead, meaning that a query for a column that doesn't exist in a row that does will often not need to seek to the row.
>  * Metadata (deletion/gc time) and ColumnKeys (key, colname1, colname2...) for columns are defined recursively, so deeply nested slices are possible,
>  * Slices representing a single parent (CF, SC, etc) can have different Metadata, meaning that a tombstone Slice from d-f could sit between Slices containing columns a-c and g-h. This allows for eventually consistent range deletes of columns.

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