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The "RowsAndRecords" page has been changed by AaronMcCurry: https://wiki.apache.org/blur/RowsAndRecords New page: = Blur Data Model = Blur is a table based query system. So within a single shard cluster there can be many different tables, each with a different schema, shard size, analyzers, etc. Each table contains Rows. A Row contains a row id (Lucene !StringField internally) and many Records. A record has a record id (Lucene !StringField internally), a family (Lucene !StringField internally), and many Columns. A column contains a name and value, both are Strings in the API but the value can be interpreted as different types. All base Lucene Field types are supported, Text, String, Long, Int, Double, and Float. Starting with the most basic structure and building on it. == Columns == Columns contain a name and value, both are strings in the API but can be interpreted as an Integer, Float, Long, Double, String, or Text. All Column types default to Text and will be analyzed during the indexing process. {{{ Column {"name" => "value"} }}} == Records == Record contains a Record Id, Family, and one or more Columns {{{ Record { "recordId" => "1234", "family" => "family1", "columns" => [ Column {"column1" => "value1"} Column {"column2" => "value2"} Column {"column2" => "value3"} Column {"column3" => "value4"} ] } }}} NOTE: The column names do not have to be unique within the Record. So you can treat multiple Columns with the same name as an array of values. Also the order of the values will be maintained. == Rows == Rows contain a row id and a list of Records. {{{ Row { "id" => "r-5678", "records" => [ Record { "recordId" => "1234", "family" => "family1", "columns" => [ Column {"column1" => "value1"} Column {"column2" => "value2"} Column {"column2" => "value3"} Column {"column3" => "value4"} ] }, Record { "recordId" => "9012", "family" => "family1", "columns" => [ Column {"column1" => "value1"} ] }, Record { "recordId" => "4321", "family" => "family2", "columns" => [ Column {"column16" => "value1"} ] } ] } }}}
