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h1. Cassandra Query Language (CQL) v2.0

h2. Table of Contents

{toc}

h2. Syntax conventions

To aid in specifying the CQL syntax, we will use the following conventions in this document:

* Language rules will be given in a BNF(Backus-Naur Form)-like notation, looking like this:

bc(syntax). 
<Start> ::= <CQL_Statement>*
          ;

* Nonterminal symbols in syntax rules will have @<angle brackets>@.
* Terminal symbols will be shown in @"single quotes"@.
* As an additional shortcut notation to BNF, optional symbols (that can occur zero or one times) will be followed by a @?@ marker. Optional symbols that can occur zero or any number of times will be followed by a @*@ marker. Multiple symbols may be grouped together in @(parentheses)@ to signify that they are all optional or repeatable together.
* In a few cases where meaning is more easily conveyed through prose, we explain a symbol and its expansion without BNF.
* Sample code will also be shown in a code block:

bc(sample). 
SELECT sample_usage FROM cql;

* References to keywords or pieces of CQL code in running text will be shown in a @fixed-width font@.

h2. Overall syntax

CQL consists of statements. As in SQL, some statements directly make changes to data, some look up data, and some change the way data is stored.

All statements end with a semicolon.

bc(syntax). 
<CQL_Statement> ::= <statementBody> ";"
                  ;
<statementBody> ::= <useStatement>
                  | <selectStatement>
                  | <dataChangeStatement>
                  | <schemaChangeStatement>
                  ;
<dataChangeStatement> ::= <insertStatement>
                        | <updateStatement>
                        | <batchStatement>
                        | <deleteStatement>
                        | <truncateStatement>
                        ;
<schemaChangeStatement> ::= <createKeyspaceStatement>
                          | <createColumnFamilyStatement>
                          | <createIndexStatement>
                          | <dropKeyspaceStatement>
                          | <dropColumnFamilyStatement>
                          | <dropIndexStatement>
                          | <alterTableStatement>
                          ;

String literals and identifiers (including keyspace and column family names) are case-sensitive, but CQL keywords are not. We show CQL keywords in this document in @UPPERCASE@ merely as a convention to aid readability.

Literal values can be expressed in several ways in CQL.

bc(syntax). 
<term> ::= "KEY"
         | <identifier>
         | <stringLiteral>
         | <integer>
         | <float>
         | <uuid>
         ;

* An @<identifier>@ is a letter followed by any sequence of letters, digits, or the underscore (@_@).
* A @<stringLiteral>@ is encased in @'single quotes'@. A single quote itself can be represented in a string literal by doubling it, as in SQL: @'Single quote -> '' <-'@.
* An @<integer>@ consists of an optional minus sign (@-@) followed by one or more digits (@0-9@).
* A @<uuid>@ can be expressed in the canonical UUID form: 32 hex digits (@0-9@ or @a-f@, case insensitive), separated by dashes (@-@) after the 8th, 12th, 16th, and 20th digits. Example: @01234567-0123-0123-0123-0123456789ab@
* A @<float>@ is a series of one or more decimal digits, followed by a period (@.@), and one or more decimal digits following. Note that there is no provision for "e" notation, no optional @+@ sign, and the forms @.42@ and @42.@ are not accepted. Use @0.42@ and @42.0@.
* Whitespace is not significant except to separate terms, and inside string literals.

Comments in CQL can begin with a double dash (@--@) or a double slash (@//@) and extend to the end of the line. Multiline comments are enclosed in @/* ... */@.

h2(#storageTypes). Data Storage Types

__Syntax:__

bc(syntax). 
<storageType> ::= "ascii"
                | "bigint"
                | "blob"
                | "boolean"
                | "counter"
                | "decimal"
                | "double"
                | "float"
                | "int"
                | "text"
                | "timestamp"
                | "uuid"
                | "varchar"
                | "varint"
                ;

The following table gives additional information on the available data types.

|_. type|_. description|
|ascii|ASCII character string|
|bigint|64-bit signed long|
|blob|Arbitrary bytes (no validation)|
|boolean|true or false|
|counter|Counter column (64-bit long)|
|decimal|Variable-precision decimal|
|double|64-bit IEEE-754 floating point|
|float|32-bit IEEE-754 floating point|
|int|32-bit signed int|
|text|UTF8 encoded string|
|timestamp|A timestamp. See "Working with dates":#usingdates below for more information.|
|uuid|Type 1 or type 4 UUID|
|varchar|UTF8 encoded string|
|varint|Arbitrary-precision integer|

_Note: In addition to the recognized types listed above, it is also possible to supply a string containing the name of a class (a sub-class of @AbstractType@ loadable by Cassandra). The class name should either be fully qualified, or relative to the @org.apache.cassandra.db.marshal@ package._

h3(#usingdates). Working with dates

Values serialized with the @timestamp@ type are encoded as 64-bit signed integers representing a number of milliseconds since the standard base time known as "the epoch": January 1 1970 at 00:00:00 GMT.

Timestamp types can be input in CQL as simple long integers, giving the number of milliseconds since the epoch, as defined above.

Timestamp types can also be input as string literals in any of the following ISO 8601 formats, each representing the time and date Jan 2, 2003, at 04:05:00 AM, GMT.:

* @2011-02-03 04:05+0000@
* @2011-02-03 04:05:00+0000@
* @2011-02-03T04:05+0000@
* @2011-02-03T04:05:00+0000@

The @+0000@ above is an RFC 822 4-digit time zone specification; @+0000@ refers to GMT. US Pacific Standard Time is @-0800@. The time zone may be omitted if desired-- the date will be interpreted as being in the time zone under which the coordinating Cassandra node is configured.

* @2011-02-03 04:05@
* @2011-02-03 04:05:00@
* @2011-02-03T04:05@
* @2011-02-03T04:05:00@

There are clear difficulties inherent in relying on the time zone configuration being as expected, though, so it is recommended that the time zone always be specified for timestamps when feasible.

The time of day may also be omitted, if the date is the only piece that matters:

* @2011-02-03@
* @2011-02-03+0000@

In that case, the time of day will default to 00:00:00, in the specified or default time zone.

h2. USE

__Syntax:__

bc(syntax). 
<useStatement> ::= "USE" <term>
                 ;

__Sample:__

bc(sample). 
USE myApp;

A @USE@ statement consists of the @USE@ keyword, followed by a valid keyspace name.  Its purpose is to assign the per-connection, current working keyspace.  All subsequent keyspace-specific actions will be performed in the context of the keyspace selected, unless otherwise specified, until another USE statement is issued or the connection terminates.

h2. SELECT

__Syntax:__

bc(syntax). 
<selectStatement> ::= "SELECT" <whatToSelect>
                        "FROM" ( <name> "." )? <name>
                               ( "USING" "CONSISTENCY" <consistencylevel> )?
                               ( "WHERE" <selectWhereClause> )?
                               ( "LIMIT" <integer> )?
                    ;
<whatToSelect> ::= <term> ( "," <term> )*
                 | ("FIRST" <integer> )? "REVERSED"? <columnRange>
                 | "COUNT" "(" <countTarget> ")"
                 ;
<columnRange> ::= <term> ".." <term>
                | "*"
                ;
<countTarget> ::= "*"
                | "1"
                ;
<name> ::= <identifier>
         | <stringLiteral>
         | <integer>
         ;
<selectWhereClause> ::= <relation> ( "AND" <relation> )*
                      | <term> "IN" "(" <term> ( "," <term> )* ")"
                      ;
<relation> ::= <term> <relationOperator> <term>
             ;
<relationOperator> ::= "=" | "<" | ">" | "<=" | ">="
                     ;

__Sample:__

bc(sample). 
SELECT Name, Occupation FROM People WHERE key IN (199, 200, 207);
SELECT FIRST 3 REVERSED 'time199'..'time100' FROM Events;
SELECT COUNT(*) FROM system.Migrations;

A @SELECT@ is used to read one or more records from a Cassandra column family. It returns a result-set of rows, where each row consists of a key and a collection of columns corresponding to the query.

h3. Specifying Columns

bc(sample). 
SELECT col1, col2 FROM ...
SELECT range_lo..range_hi FROM ...
SELECT * FROM ...
SELECT FIRST 4 REVERSED range_hi..range_lo FROM ...

The @SELECT@ expression determines which columns will appear in the results and can take a few different forms, as shown above. The simplest is a comma-separated list of column names. Note that column names in Cassandra can be specified with string literals or integers, in addition to identifiers.

It is also possible to specify a range of column names. The range notation consists of start and end column names, separated by two periods (@..@). The set of columns returned for a range is start and end inclusive. A single star (@*@) may be used as a range to request "all columns".

When using a range, it is sometimes useful to limit the number of columns that can be returned as part of each row (since Cassandra is schemaless, it is not necessarily possible to determine ahead of time how many columns will be in the result set). To accomplish this, use the @FIRST@ clause with an integer to specify an upper limit on the number of columns returned per row. The default limit is 10,000 columns.

The @REVERSED@ option causes the sort order of the columns returned to be reversed. This affects the @FIRST@ clause; when limiting the columns returned, the columns at the end of the range will be selected instead of the ones at the beginning of the range.

A @SELECT@ expression may also be @COUNT(*)@. In this case, the result will be only one value: the number of rows which matched the query.

It is worth noting that unlike the projection in a SQL SELECT, there is no guarantee that the results will contain all of the columns specified, because Cassandra is schemaless.

h3. Column Family

bc(sample). 
SELECT ... FROM MyApp.LocationSnapshots ...;
SELECT ... FROM EventTimeline ...;

The @FROM@ clause is used to specify the Cassandra column family applicable to a @SELECT@ query. Unlike other operations on column families, the keyspace in which the column family exists may also be specified by giving its name before the column family name, and separating them by a dot (@.@). If the keyspace is not specified, the current keyspace will be used, as per normal.

h3. Consistency Level

bc(sample). 
SELECT ... USING CONSISTENCY QUORUM;

Following the column family clause is an optional "consistency level specification":#consistency.

h3. Filtering rows

bc(sample). 
SELECT ... WHERE KEY = 11194251 AND startdate = '2011-10-08-0500';
SELECT ... WHERE KEY >= 'AM' and KEY =< 'AZ' AND module = 17;
SELECT ... WHERE keyalias IN ('key1', 'key2', 'key3', ...);

The @WHERE@ clause provides for filtering the rows that appear in results.  The clause can filter on a key name, or range of keys, and in the case of indexed columns, on column values.  Key filters are specified using the @KEY@ keyword or key alias name, followed by a relational operator (one of @=@, @>@, @>=@, @<@, and @<=@), and then a term value.  When terms appear on both sides of a relational operator it is assumed the filter applies to an indexed column. With column index filters, the term on the left of the operator must be the name of the indexed column, and the term on the right is the value to filter __on__.

__Note: The greater-than and less-than operators (@>@ and @<@) result in key ranges that are inclusive of the terms. There is no supported notion of "strictly" greater-than or less-than; these operators are merely supported as aliases to @>=@ and @<=@.__

h3. Limits

bc(sample). 
SELECT ... WHERE favoriteArtist = 'The Mighty Mighty Bosstones' LIMIT 90000;

The @LIMIT@ option to a @SELECT@ expression limits the number of rows returned by a query. @LIMIT@ defaults to 10,000 when left unset.

h2. INSERT

__Syntax:__

bc(syntax). 
<insertStatement> ::= "INSERT" "INTO" <name>
                               "(" <term> "," <term> ( "," <term> )* ")"
                      "VALUES" "(" <term> "," <term> ( "," <term> )* ")"
                      ( "USING" <usingOption> ( "AND" <usingOption> )* )?
                    ;
<usingOption> ::= "CONSISTENCY" <consistencylevel>
                | "TIMESTAMP" <integer>
                | "TTL" <integer>
                ;

__Sample:__

bc(sample). 
INSERT INTO NerdMovies (KEY, 11924)
                VALUES ('Serenity', 'Nathan Fillion')
      USING CONSISTENCY LOCAL_QUORUM AND TTL 86400;

An @INSERT@ is used to write one or more columns to a record in a Cassandra column family. No results are returned.

The first column name in the @INSERT@ list must be the name of the column family key. Also, there must be more than one column name specified (Cassandra rows are not considered to exist with only a key and no associated columns).

Unlike in SQL, the semantics of @INSERT@ and @UPDATE@ are identical. In either case a record is created if none existed before, and updated when it does.  For information on query modifiers and types, see the "@UPDATE@":#update section below.

h2(#update). UPDATE

__Syntax:__

bc(syntax). 
<updateStatement> ::= "UPDATE" <name>
                        ( "USING" <usingOption> ( "AND" <usingOption> )* )?
                        "SET" <assignment> ( "," <assignment> )*
                        "WHERE" <updateWhereClause>
                    ;
<assignment> ::= <term> "=" <term>
               | <term> "=" <term> "+" <term>
               | <term> "=" <term> "-" <term>
               ;
<updateWhereClause> ::= <term> "=" <term>
                      | <term> "IN" "(" <term> ( "," <term> )* ")"
                      ;

__Sample:__

bc(sample). 
UPDATE NerdMovies USING CONSISTENCY ALL AND TTL 400
       SET 'A 1194' = 'The Empire Strikes Back',
           'B 1194' = 'Han Solo'
     WHERE KEY = B70DE1D0-9908-4AE3-BE34-5573E5B09F14;
UPDATE UserActionCounts SET total = total + 2 WHERE keyalias = 523;

An @UPDATE@ is used to write one or more columns to a record in a Cassandra column family. No results are returned. The row key can be specified using the @KEY@ keyword or by a key alias set per column family.

h3. Column Family

Statements begin with the @UPDATE@ keyword followed by a Cassandra column family name.

h3. Consistency Level

bc(sample). 
UPDATE Foo USING CONSISTENCY EACH_QUORUM ...

Following the column family identifier is an optional @USING@ clause, which can specify the "consistency level":#consistency for the update, or the timestamp and/or the TTL for the new columns.

h3. Timestamp

bc(sample). 
UPDATE Foo USING TIMESTAMP=1318452291034 ...

@UPDATE@ supports setting client-supplied optional timestamp for modification.

h3. TTL

bc(sample). 
UPDATE Foo USING TTL=6800 ...

@UPDATE@ supports setting a time to live (TTL), in seconds, for each of the added columns.

h3. Specifying Columns and Row

bc(sample). 
UPDATE ... SET col1 = val1, col2 = val2 WHERE KEY = key1;
UPDATE ... SET col3 = val3 WHERE KEY IN (key1, key2, key3);
UPDATE ... SET col4 = 22 WHERE keyalias = key4;

Rows are created or updated by supplying column names and values, after the @SET@ keyword, in term assignment format. Multiple columns can be set by separating the name/value pairs using commas.  Each update statement requires a precise set of row keys to be specified using a @WHERE@ clause and the @KEY@ keyword or key alias.

h3. Updating Counter Columns

bc(sample). 
UPDATE ... SET name1 = name1 + <value> ...;
UPDATE ... SET name1 = name1 - <value> ...;

Counter columns can be incremented or decremented by an arbitrary numeric value though the assignment of an expression that adds or substracts the value.

h2. DELETE

__Syntax:__

bc(syntax). 
<deleteStatement> ::= "DELETE" ( <term> ( "," <term> )* )?
                        "FROM" <name>
                        ( "USING" <deleteOption> ( "AND" <deleteOption> )* )?
                        "WHERE" <updateWhereClause>
                    ;
<deleteOption> ::= "CONSISTENCY" <consistencylevel>
                 | "TIMESTAMP" <integer>
                 ;

__Sample:__

bc(sample). 
DELETE col1, col2, col3 FROM Planeteers USING CONSISTENCY ONE WHERE KEY = 'Captain';
DELETE FROM MastersOfTheUniverse WHERE KEY IN ('Man-At-Arms', 'Teela');

A @DELETE@ is used to perform the removal of one or more columns from one or more rows. The key can be given using the @KEY@ keyword or by the key alias set per column family.

h3. Specifying Columns

Following the @DELETE@ keyword is an optional comma-delimited list of column name terms. When no column names are specified, the remove applies to the entire row(s) matched by the "WHERE clause":#deleterows.

h3. Column Family

The column family name follows the list of column names and the keyword @FROM@.

h3. Consistency Level

Following the column family identifier is an optional "consistency level specification":#consistency.

h3(#deleterows). Specifying Rows

bc(sample). 
DELETE ... WHERE KEY = 'some_key_value';
DELETE ... WHERE keyalias IN (key1, key2);

The @WHERE@ clause is used to determine to which row(s) a @DELETE@ applies. The first form allows the specification of a single keyname using the @KEY@ keyword (or by key alias) and the @=@ operator.  The second form allows a list of keyname terms to be specified using the @IN@ notation and a parenthesized list of comma-delimited keyname terms.

h2. TRUNCATE

__Syntax:__

bc(syntax). 
<truncateStatement> ::= "TRUNCATE" <name>
                      ;

__Sample:__

bc(sample). 
TRUNCATE super_important_data;

@TRUNCATE@ accepts a single argument for the column family name, and permanently removes all data from said column family.

h2. BATCH

__Syntax:__

bc(syntax). 
<batchStatement> ::= "BEGIN" "BATCH"
                        ( "USING" <usingOption> ( "AND" <usingOption> )* )?
                        <batchStatementMember> ( ";" <batchStatementMember> )*
                     "APPLY" "BATCH"
                   ;
<batchStatementMember> ::= <insertStatement>
                         | <updateStatement>
                         | <deleteStatement>
                         ;

__Sample:__

bc(sample). 
BEGIN BATCH USING CONSISTENCY QUORUM AND TTL 8640000
  INSERT INTO users (KEY, password, name) VALUES ('user2', 'ch@ngem3b', 'second user')
  UPDATE users SET password = 'ps22dhds' WHERE KEY = 'user2'
  INSERT INTO users (KEY, password) VALUES ('user3', 'ch@ngem3c')
  DELETE name FROM users WHERE key = 'user2'
  INSERT INTO users (KEY, password, name) VALUES ('user4', 'ch@ngem3c', 'Andrew')
APPLY BATCH;

@BATCH@ supports setting a client-supplied optional global timestamp which will be used for each of the operations included in the batch.

A single consistency level is used for the entire batch. It appears after the @BEGIN BATCH@ statement, and uses the standard "consistency level specification":#consistency. Batched statements default to @CONSISTENCY.ONE@ when left unspecified.

Only data modification statements (specifically, @UPDATE@, @INSERT@, and @DELETE@) are allowed in a @BATCH@ statement. @BATCH@ is _not_ an analogue for SQL transactions.

_NOTE: While there are no isolation guarantees, @UPDATE@ queries are atomic within a given record._

h2. CREATE KEYSPACE

__Syntax:__

bc(syntax). 
<createKeyspaceStatement> ::= "CREATE" "KEYSPACE" <name>
                                 "WITH" <optionName> "=" <optionVal>
                                 ( "AND" <optionName> "=" <optionVal> )*
                            ;
<optionName> ::= <identifier>
               | <optionName> ":" <identifier>
               | <optionName> ":" <integer>
               ;
<optionVal> ::= <stringLiteral>
              | <identifier>
              | <integer>
              ;

__Sample:__

bc(sample). 
CREATE KEYSPACE Excelsior WITH strategy_class = 'SimpleStrategy'
    AND strategy_options:replication_factor = 1;
CREATE KEYSPACE Excalibur WITH strategy_class = 'NetworkTopologyStrategy'
    AND strategy_options:DC1 = 1 AND strategy_options:DC2 = 3;

The @CREATE KEYSPACE@ statement creates a new top-level namespace (aka "keyspace"). Valid names are any string constructed of alphanumeric characters and underscores. Names which do not work as valid identifiers or integers should be quoted as string literals. Properties such as replication strategy and count are specified during creation using the following accepted keyword arguments:

|_. keyword|_. required|_. description|
|strategy_class|yes|The name of the replication strategy class which should be used for the new keyspace. Some often-used classes are @SimpleStrategy@ and @NetworkTopologyStrategy@.|
|strategy_options|no|Most strategies require additional arguments which can be supplied by appending the option name to the @strategy_options@ keyword, separated by a colon (@:@).  For example, a strategy option of "DC1" with a value of "1" would be specified as @strategy_options:DC1 = 1@; replication_factor for SimpleStrategy could be @strategy_options:replication_factor=3@.|

h2. CREATE COLUMNFAMILY

__Syntax:__

bc(syntax). 
<createColumnFamilyStatement> ::= "CREATE" "COLUMNFAMILY" <name>
                                    "(" <term> <storageType> "PRIMARY" "KEY"
                                        ( "," <term> <storageType> )* ")"
                                   ( "WITH" <optionName> "=" <cfOptionVal>
                                     ( "AND" <optionName> "=" <cfOptionVal> )* )?
                                ;
<optionName> ::= <identifier>
               | <optionName> ":" <identifier>
               | <optionName> ":" <integer>
               ;

<cfOptionVal> ::= <storageType>
                | <identifier>
                | <stringLiteral>
                | <integer>
                | <float>
                ;

__Sample:__

bc(sample). 
CREATE COLUMNFAMILY Fish (KEY blob PRIMARY KEY);
CREATE COLUMNFAMILY FastFoodEatings (user text PRIMARY KEY)
    WITH comparator=timestamp AND default_validation=int;
CREATE COLUMNFAMILY MonkeyTypes (
    KEY uuid PRIMARY KEY,
    species text,
    alias text,
    population varint
) WITH comment='Important biological records'
   AND read_repair_chance = 1.0;

@CREATE COLUMNFAMILY@ statements create new column family namespaces under the current keyspace. Valid column family names are strings of alphanumeric characters and underscores, which begin with a letter.

h3(#keytypes). Specifying Key Type

bc(sample). 
CREATE ... (KEY ascii PRIMARY KEY, ... ) ...

When creating a new column family, you must specify the key type. The list of possible types is identical to column comparators/validators (see "Data Storage Types":#storageTypes), except it probably does not make sense to use @counter@ for a key. It's important to note that the key type you use must be compatible with the partitioner in use. For example, @OrderPreservingPartitioner@ and @CollatingOrderPreservingPartitioner@ both require UTF-8 keys. If you use an identifier for the primary key name, instead of the @KEY@ keyword, a key alias will be set automatically.

h3. Specifying Column Types (optional)

bc(sample). 
CREATE ... ( ... , name1 type1, name2 type2, ... ) ...

It is possible to assign columns a type during column family creation. Columns configured with a type are validated accordingly when a write occurs, and intelligent CQL drivers and interfaces will be able to decode the column values correctly when receiving them. Column types are specified as a parenthesized, comma-separated list of column term and type pairs. See "Data Storage Types":#storageTypes for the list of recognized types.

h3(#cfopts). Column Family Options (optional)

bc(sample). 
CREATE COLUMNFAMILY ... WITH keyword1 = arg1 AND keyword2 = arg2;

A number of optional keyword arguments can be supplied to control the configuration of a new column family.

|_. keyword|_. default|_. description|
|comparator|text|Determines the storage type of column names (which itself determines the sorting and validation of column names). Valid values are listed in the "Data Storage Types":#storageTypes table above.|
|comment|none|A free-form, human-readable comment.|
|read_repair_chance|1.0|The probability with which read repairs should be invoked on non-quorum reads.|
|gc_grace_seconds|864000|Time to wait before garbage collecting tombstones (deletion markers).|
|default_validation|text|Determines the default storage type of column values (which itself determines the validation for column values). This option does not affect the types of columns which were defined in a @CREATE COLUMNFAMILY@ statement-- only new columns. Valid values are listed in the "Data Storage Types":#storageTypes table above.|
|min_compaction_threshold|4|Minimum number of SSTables needed to start a minor compaction.|
|max_compaction_threshold|32|Maximum number of SSTables allowed before a minor compaction is forced.|
|replicate_on_write|false| |
|compaction_strategy_options|none|CompactionStrategy specific options such as "sstable_size_in_mb" for LeveledCompactionStrategy and "min_sstable_size" for SizeTieredCompactionStrategy|
|compression_parameters|none|Compression parameters such as "sstable_compressor" and "chunk_length_kb"|

h2. CREATE INDEX

__Syntax:__

bc(syntax). 
<createIndexStatement> ::= "CREATE" "INDEX" <identifier>? "ON"
                               <name> "(" <term> ")"
                         ;

__Sample:__

bc(sample). 
CREATE INDEX userIndex ON NerdMovies (user);
CREATE INDEX ON Mutants (abilityId);

A @CREATE INDEX@ statement is used to create a new, automatic secondary index on the given column family, for the named column. A name for the index itself can be specified before the @ON@ keyword, if desired. A single column name must be specified inside the parentheses. It is not necessary for the column to exist on any current rows (Cassandra is schemaless), but the column must already have a type (specified during the @CREATE COLUMNFAMILY@, or added afterwards with @ALTER COLUMNFAMILY@.

h2. DROP KEYSPACE

__Syntax:__

bc(syntax). 
<dropKeyspaceStatement> ::= "DROP" "KEYSPACE" <name>
                          ;

__Sample:__

bc(sample). DROP KEYSPACE MyTwitterClone;

A @DROP KEYSPACE@ statement results in the immediate, irreversible removal of a keyspace, including all column families in it, and all data contained in those column families.

h2. DROP COLUMNFAMILY

__Syntax:__

bc(syntax). 
<dropColumnFamilyStatement> ::= "DROP" "COLUMNFAMILY" <name>
                              ;

__Sample:__

bc(sample). DROP COLUMNFAMILY worldSeriesAttendees;

A @DROP COLUMNFAMILY@ statement results in the immediate, irreversible removal of a column family, including all data contained in it.

h2. DROP INDEX

__Syntax:__

bc(syntax). 
<dropIndexStatement> ::= "DROP" "INDEX" <name>
                       ;

__Sample:__

bc(sample). DROP INDEX cf_col_idx;

A @DROP INDEX@ statement is used to drop an existing secondary index.

h2. ALTER COLUMNFAMILY

__Syntax:__

bc(syntax). 
<alterTableStatement> ::= "ALTER" "COLUMNFAMILY" <name> <alterInstructions>
                        ;
<alterInstructions> ::= "ALTER" <name> "TYPE" <storageType>
                      | "ADD" <name> <storageType>
                      | "DROP" <name>
                      | "WITH" <optionName> "=" <cfOptionVal>
                               ( "AND" <optionName> "=" <cfOptionVal> )*
                      ;

An @ALTER@ statement is used to manipulate column family column metadata. It allows you to add new columns, drop existing columns, data storage type of existing columns, or change the column family properties. No results are returned.

Specify the name of the column family to be changed after the @ALTER COLUMNFAMILY@ keywords, followed by the type of change desired (@ALTER@, @ADD@, @DROP@, or @WITH@), and provide the rest of the needed information, as explained below.

h3. Changing the type of a typed column

bc(sample). 
ALTER COLUMNFAMILY addamsFamily ALTER lastKnownLocation TYPE uuid;

@ALTER COLUMNFAMILY ... ALTER@ changes the expected storage type for a column. The column must either be the key alias or already have a type in the column family metadata. The column may or may not already exist in current rows-- but be aware that no validation of existing data is done. The bytes stored in values for that column will remain unchanged, and if existing data is not deserializable according to the new type, this may cause your CQL driver or interface to report errors.

h3. Adding a typed column

bc(sample). 
ALTER COLUMNFAMILY addamsFamily ADD gravesite varchar;

The @ALTER COLUMNFAMILY ... ADD@ variant adds a typed column to a column family. The column must not already have a type in the column family metadata. The same warnings from the above @ALTER@ section, about there being no validation of existing data, apply here as well.

h3. Dropping a typed column

bc(sample). 
ALTER COLUMNFAMILY addamsFamily DROP gender;

An @ALTER COLUMNFAMILY ... DROP@ statement removes the type of a column from the column family metadata. Note that this does _not_ remove the column from current rows; it just removes the metadata saying that the bytes stored under that column are expected to be deserializable according to a certain type.

h3. Modifying column family properties

bc(sample). 
ALTER COLUMNFAMILY addamsFamily WITH comment = 'A most excellent and useful column family' AND read_repair_chance = 0.2;

An @ALTER COLUMNFAMILY ... WITH@ statement makes adjustments to the column family properties, as defined when the column family was created (see "CREATE COLUMNFAMILY options":#cfopts for information about the supported options and values).

Note that setting any @compaction_strategy_options:*@ parameters has the effect of erasing all previous @compaction_strategy_options:*@ parameters, so you will need to re-specify any such parameters which have already been set, if you want to keep them. The same note applies to the set of @compression_parameters:*@ parameters.

h2. Common Idioms

h3(#consistency). Specifying Consistency

bc(syntax). 
<consistency> ::= "ANY"
                | "ONE"
                | "QUORUM"
                | "ALL"
                | "LOCAL_QUORUM"
                | "EACH_QUORUM"
                ;

bc(sample). 
... USING CONSISTENCY LOCAL_QUORUM ...

Consistency level specifications are made up the keywords @USING CONSISTENCY@, followed by a consistency level identifier. Valid consistency level identifiers are as listed above. When not specified, @USING CONSISTENCY ONE@ is the default.

Consult your Cassandra documentation for information about how consistency levels work.

h1. Versioning

Versioning of the CQL language adheres to the "Semantic Versioning":http://semver.org guidelines.  Versions take the form X.Y.Z where X, Y, and Z are integer values representing major, minor, and patch level respectively.  There is no correlation between Cassandra release versions and the CQL language version.

|_. version|_. description|
|Major|The major version _must_ be bumped when backward incompatible changes are introduced.  This should rarely (if ever) occur.|
|Minor|Minor version increments occur when new, but backward compatible, functionality is introduced.|
|Patch|The patch version is incremented when bugs are fixed.|

h1. Changes

pre.. 
Wed, 12 Oct 2011 16:53:00 -0500 - paul cannon
 * Rework whole doc, adding syntax specifics and additional explanations

Fri, 09 Sep 2011 11:43:00 -0500 - Jonathan Ellis
 * add int data type

pre. Wed, 07 Sep 2011 09:01:00 -0500 - Jonathan Ellis
 * Updated version to 2.0; Documented row-based count()
 * Updated list of supported data types

pre. Wed, 10 Aug 2011 11:22:00 -0500 - Eric Evans
 * Improved INSERT vs. UPDATE wording.
 * Documented counter column incr/descr.

pre. Sat, 01 Jun 2011 15:58:00 -0600 - Pavel Yaskevich
 * Updated to support ALTER (CASSANDRA-1709)

pre. Tue, 22 Mar 2011 18:10:28 -0700 - Eric Evans <eevans@rackspace.com>
 * Initial version, 1.0.0
