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
`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`	Whether the file path relative to the changelog file rather than looked up in the search path.		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

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 needs to be defined if the header name in the CSV is different than the column name needs to be inserted If no `column` defined at all, the type it is taken from the DB. Otherwise for non-string columns the type definition might be required. For more information, see column. 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 needs to be defined if the header name in the CSV is different than the column name needs to be inserted If no column defined at all, the type it is taken from the DB. Otherwise for non-string columns the type definition might be required. For more information, see column.

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

all

yes

Nested property attributes

Name	Name of the column (Required)
`type`	Data type of the column. Its value has to be one of the LOAD_DATA_TYPE
`header`	Name of the column in the CSV file from which the value for the column shall be taken if its 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 shall 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