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    Altering Apache Iceberg Tables

    The ALTER command updates an Iceberg table’s schema in a new snapshot.

    Syntax 
    ALTER TABLE [<table_path>.]<table_name> 
[ { ALTER | MODIFY | CHANGE } COLUMN ( <source_col_name> <new_col_name>{ data_type } ) ]
| [ ADD COLUMNS ( <column_name> data_type [, <column_name> data_type ... ] ) 
| [ DROP COLUMN <column_name> ]
| [ [ ADD | DROP ] PARTITION FIELD [ <column_name> | <partition_transform> ] ]
| [ RENAME [ COLUMN ] <old_column_name> [ TO ] <new_column_name> ]
| [ REFRESH METADATA ]

    Parameters

    { ALTER | MODIFY | CHANGE } COLUMN ( <source_col_name> <new_col_name> <data_type> )

    String

    Changes the data type for a column, and gives you the option of to renaming the column. If you do not want to rename the column, set <new_col_name> to <source_col_name>.
    Only three types of changes to primitive types are allowed:

    • int to long
    • float to double
    • decimal(P, S) to decimal(P', S), if you are widening the precision
    You can alter columns that use complex types by using either of these two sets of syntax:
    Set 1
    • struct_type: ROW( name primitive_or_complex_type, .. )
    • list_type: ARRAY(primitive_or_complex_type)
    Examples:
    ROW(innerfield INT, anotherinnerfield DOUBLE)
    ARRAY(INT)
    ROW(innerfield ARRAY(INT))
    ARRAY(ROW(innerfield INT))
    Set 2
    • struct_type: STRUCT <name : primitive_or_complex_type, ...>
    • list_type: { LIST | ARRAY } < primitive_or_complex_type >
    Examples:
    STRUCT<innerfield : INT, anotherinnerfield : DOUBLE>
    LIST<INT>
    ARRAY<INT>
    STRUCT<innerfield : LIST<INT>>
    LIST<STRUCT<innerfield : INT>>

    ADD { COLUMN | COLUMNS } ( <column_name1> <data_type> [, <column_name2> <data_type> ... ] ) [ BEFORE <column_name> ]

    String

    Appends one or more columns that have the specified names and data types.

    These are the supported primitive types:

    • BOOLEAN
    • VARBINARY
    • DATE
    • FLOAT
    • DECIMAL
    • DOUBLE
    • INTERVAL
    • INT
    • BIGINT
    • TIME
    • TIMESTAMP
    • VARCHAR (The length is always 65536 bytes. If a length is specified, it is ignored.)

    You can define complex types by using either of these two sets of syntax:
    Set 1
    • struct_type: ROW( name primitive_or_complex_type, .. )
    • list_type: ARRAY(primitive_or_complex_type)
    Examples:
    ROW(innerfield INT, anotherinnerfield DOUBLE)
    ARRAY(INT)
    ROW(innerfield ARRAY(INT))
    ARRAY(ROW(innerfield INT))
    Set 2
    • struct_type: STRUCT <name : primitive_or_complex_type, ... >
    • list_type: { LIST | ARRAY } < primitive_or_complex_type >
    Examples:
    STRUCT<innerfield : INT, anotherinnerfield : DOUBLE>
    LIST<INT>
    ARRAY<INT>
    STRUCT<innerfield : LIST<INT>>
    LIST<STRUCT<innerfield : INT>>

    { ADD | DROP } PARTITION FIELD { <column_name> | <partition_transform> }

    String

    Optional

    ADD partitions the table data on the values in a single column or by using one of the partition-transformation functions. DROP drops the partition definition.
    These are the partition-transformation functions:

    TransformDescription
    identity( <col> )Explicitly specified identity transform
    year( <col> )Partition by year. The column must use the TIMESTAMP data type.
    month( <ts_col> )Partition by month. The column must use the TIMESTAMP data type.
    day( <ts_col> )Partition by day. The column must use the TIMESTAMP data type.
    hour( <ts_col> )Partition by hour. The column must use the TIMESTAMP data type.
    bucket( <count>, <col> )Partition by hashed value into <count> buckets
    truncate( <length>, <col> )Partition by truncated value.
    • Strings are truncated to the specified length.
    • Integer and biginteger values are truncated to bins.
      Example: truncate(10, i) produces 0, 10, 20, and so on.

    Examples

    Add a column 
    ALTER TABLE myTable ADD COLUMNS (address VARCHAR)
    Change the data type of a column to BIGINT 
    ALTER TABLE myTable ALTER COLUMN id id BIGINT