loadUpdateData

Loads or updates data from a CSV file into an existing table. Differs from loadData by issuing a SQL batch that checks for the existence of a record. If found, the record is UPDATEd, else the record is INSERTed. Also, generates DELETE statements for a rollback.

A value of NULL in a cell will be converted to a database NULL rather than the string NULL.

Available attributes

Name	Description	Required for	Supports	Since
`catalogName`	Name of the catalog		all	3.0
`commentLineStartsWith`	Lines starting with this are treated as comment and ignored.		all
`encoding`	Encoding of the CSV file (defaults to UTF-8)		all
`file`	CSV file to load	all	all
`onlyUpdate`	If true, records with no matching database record should be ignored		all	3.3
`primaryKey`	Comma delimited list of the columns for the primary key	all	all
`quotchar`	The quote character for string fields containing the separator character.		all
`relativeToChangelogFile`	Specifies whether the file path is relative to the changelog file rather than looked up in the search path. Default: `false`.		all
`schemaName`	Name of the schema		all
`separator`	Character separating the fields.		all
`tableName`	Name of the table to insert or update data in	all	all
`usePreparedStatements`	Use prepared statements instead of insert statement strings if the database supports it.		all

Nested tags

Name Description Required for Supports Multiple allowed

Name	Description	Required for	Supports	Multiple allowed
`column`	Column mapping and defaults can be defined. The `header` or `index` attributes need to be defined. If the header name in the CSV is different than the column, name needs to be inserted. If no `column` is defined at all, the type is taken from a database. Otherwise, for non-string columns the type definition might be required. Note: YAML and JSON changelogs using the `column` tag must nest it within a `columns` tag.		all	yes

column

Column mapping and defaults can be defined. The header or index attributes need to be defined. If the header name in the CSV is different than the column, name needs to be inserted. If no column is defined at all, the type is taken from a database. Otherwise, for non-string columns the type definition might be required.

Note: YAML and JSON changelogs using the column tag must nest it within a columns tag.

all

yes

Nested property attributes

Name	Description
`name`	Name of the column (Required).
`type`	Data type of the column. Its value has to be one of the accepted values of LOAD_DATA_TYPE. If you want to skip loading a specific column, use the `skip` data type described earlier. Otherwise, all columns in the CSV file will be used.
`header`	Name of the column in the CSV file from which the value for the column will be taken if it's different from the column name. Ignored if `index` is also defined.
`index`	Index of the column in the CSV file from which the value for the column will be taken.

XML example

...
<changeSet  author="liquibase-docs"  id="loadUpdateData-example">
    <loadUpdateData  catalogName="cat"
            commentLineStartsWith="//"
            encoding="UTF-8" 
            file="example/users.csv"  
            onlyUpdate="true"  
            primaryKey="pk_id"  
            quotchar="'"  
            relativeToChangelogFile="true"  
            schemaName="public"  
            separator=";"  
            tableName="person"  
            usePreparedStatements="true">  
        <column  header="header1"  
                name="id"  
                type="NUMERIC"/>  
        <column  index="3"  
                name="name"  
                type="BOOLEAN"/>  
    </loadUpdateData>  
</changeSet>
...

YAML example

...
-  changeSet:  
    id:  loadUpdateData-example  
    author:  liquibase-docs  
    changes:  
    -  loadUpdateData:  
        catalogName:  cat  
        columns:  
        -  column:  
            header:  header1  
            name:  id  
            type:  NUMERIC  
        -  column:  
            index:  3  
            name:  name  
            type:  BOOLEAN  
        commentLineStartsWith:  //  
        encoding:  UTF-8  
        file:  example/users.csv  
        onlyUpdate:  true  
        primaryKey:  pk_id  
        quotchar:  ''''  
        relativeToChangelogFile:  true  
        schemaName:  public  
        separator:  ;  
        tableName:  person  
        usePreparedStatements:  true
...

JSON example

...
{
    "changeSet":
      {
        "id": "loadUpdateData-example",
        "author": "liquibase-docs",
        "changes": [
          {
            "loadUpdateData":
              {
                "catalogName": "cat",
                "columns": [
                  {
                    "column":
                      {
                        "header": "header1",
                        "name": "id",
                        "type": "NUMERIC"
                      }
                  },
                  {
                    "column":
                      {
                        "index": 3,
                        "name": "name",
                        "type": "BOOLEAN"
                      }
                  }],
                "commentLineStartsWith": "//",
                "encoding": "UTF-8",
                "file": "example/users.csv",
                "onlyUpdate": true,
                "primaryKey": "pk_id",
                "quotchar": "'",
                "relativeToChangelogFile": true,
                "schemaName": "public",
                "separator": ";",
                "tableName": "person",
                "usePreparedStatements": true
            }
        }]
    }
}
...

Database support

Database	Notes	Auto Rollback
DB2/LUW	Supported	No
DB2/z	Supported	No
Derby	Supported	No
Firebird	Supported	No
H2	Supported	No
HyperSQL	Supported	No
INGRES	Supported	No
Informix	Supported	No
MariaDB	Supported	No
MySQL	Supported	No
Oracle	Supported	No
PostgreSQL	Supported	No
Snowflake	Supported	No
SQL Server	Supported	No
SQLite	Supported	No
Sybase	Supported	No
Sybase Anywhere	Supported	No