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SQOOP-2855: Sqoop2: Enrich Generic JDBC Connector resource file

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(Jarek Jarcec Cecho via Abraham Fine)
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Abraham Fine 2016-03-07 15:14:40 -08:00
parent 6ed1a190ea
commit 2452b262e2
1 changed files with 70 additions and 77 deletions
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connector/connector-generic-jdbc/src/main/resources/generic-jdbc-connector-config.properties
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@ -13,124 +13,117 @@
# See the License for the specific language governing permissions and # See the License for the specific language governing permissions and
# limitations under the License. # limitations under the License.
# Generic JDBC Connector Resources connector.name = Generic JDBC Connector
############################
# Link Config # Link Config
# linkConfig.label = Database connection
linkConfig.label = Link configuration linkConfig.help = Contains configuration that is required to establish connection with your database server.
linkConfig.help = You must supply the information requested in order to \
create a link object.
# jdbc driver linkConfig.jdbcDriver.label = Driver class
linkConfig.jdbcDriver.label = JDBC Driver Class linkConfig.jdbcDriver.example = com.mysql.jdbc.Driver
linkConfig.jdbcDriver.help = Enter the fully qualified class name of the JDBC \ linkConfig.jdbcDriver.help = Fully qualified class name of the JDBC driver that will be used for establishing \
driver that will be used for establishing this connection.\ this connection. Check documentation for instructions how to make the driver's jar files available to Sqoop 2 server.
Note: The driver jar must be in the sqoop lib directory.
# connect string linkConfig.connectionString.label = Connection String
linkConfig.connectionString.label = JDBC Connection String linkConfig.connectionString.example = jdbc:mysql://mysql.server/sqoop
linkConfig.connectionString.help = Enter the value of JDBC connection string to be \ linkConfig.connectionString.help = JDBC connection string associated with your database server.
used by this connector for creating database connections.
# username string
linkConfig.username.label = Username linkConfig.username.label = Username
linkConfig.username.help = Enter the username to be used for connecting to the \ linkConfig.username.example = sqoop-user
database. linkConfig.username.help = Username to be used for connection to the database server.
# password string
linkConfig.password.label = Password linkConfig.password.label = Password
linkConfig.password.help = Enter the password to be used for connecting to the \ linkConfig.password.example = Sup3rS3cr3t!
database. linkConfig.password.help = Password to be used for connection to the database server.
# fetch size int
linkConfig.fetchSize.label = Fetch Size linkConfig.fetchSize.label = Fetch Size
linkConfig.fetchSize.help = Optional hint for JDBC fetch size. See \ linkConfig.fetchSize.example = 1000
http://docs.oracle.com/javase/7/docs/api/java/sql/Statement.html#setFetchSize(int) linkConfig.fetchSize.help = Optional hint specifying requested JDBC fetch size.
linkConfig.jdbcProperties.label = Connection Properties
linkConfig.jdbcProperties.example = useCompression=true
linkConfig.jdbcProperties.help = Key-value pairs that should be passed down to JDBC driver when establishing connection.
# jdbc properties
linkConfig.jdbcProperties.label = JDBC Connection Properties
linkConfig.jdbcProperties.help = Enter any JDBC properties that should be \
supplied during the creation of connection.
# From Job Config # From Job Config
# fromJobConfig.label = Database source
fromJobConfig.label = From database configuration fromJobConfig.help = Specifies source and way how the data should be fetched from source database.
fromJobConfig.help = You must supply the information requested below in order to create \
the FROM part of the job object
# From schema name
fromJobConfig.schemaName.label = Schema name fromJobConfig.schemaName.label = Schema name
fromJobConfig.schemaName.help = Schema name to read data from fromJobConfig.schemaName.example = my_schema
fromJobConfig.schemaName.help = Schema name if the table is not stored in default schema. Note: Not all database systems \
understands the concept of schema.
# From table name
fromJobConfig.tableName.label = Table name fromJobConfig.tableName.label = Table name
fromJobConfig.tableName.help = Table name to read data from fromJobConfig.tableName.example = input_table
fromJobConfig.tableName.help = Input table name from from which data will be retrieved.
# From table SQL fromJobConfig.sql.label = SQL statement
fromJobConfig.sql.label = Table SQL statement fromJobConfig.sql.example = select * from input_table where ${CONDITIONS}
fromJobConfig.sql.help = SQL statement to read data from (Optional if table name is already given) fromJobConfig.sql.help = Import data from given query's results set rather then static table.
# From table columnList fromJobConfig.columnList.label = Column names
fromJobConfig.columnList.label = Table column names fromJobConfig.columnList.example = id,text,city
fromJobConfig.columnList.help = Specific columns in the given table name or the SQL query (Optional) fromJobConfig.columnList.help = Subset of columns that should be retrieved from source table.
# From table partition column fromJobConfig.partitionColumn.label = Partition column
fromJobConfig.partitionColumn.label = Partition column name fromJobConfig.partitionColumn.example = id
fromJobConfig.partitionColumn.help = A specific column for data partition (Optional) fromJobConfig.partitionColumn.help = Input column that should be use to split the import into independent parallel \
processes. This column will be used in condition of generated queries.
# From table allow nulls in partition column fromJobConfig.allowNullValueInPartitionColumn.label = Partition column nullable
fromJobConfig.allowNullValueInPartitionColumn.label = Null value allowed for the partition column fromJobConfig.allowNullValueInPartitionColumn.example = true
fromJobConfig.allowNullValueInPartitionColumn.help = Whether there are null values in partition column (Defaults to false) fromJobConfig.allowNullValueInPartitionColumn.help = Set true if partition column can contain NULL value.
# From table boundary
fromJobConfig.boundaryQuery.label = Boundary query fromJobConfig.boundaryQuery.label = Boundary query
fromJobConfig.boundaryQuery.help = The boundary query for data partition (Optional) fromJobConfig.boundaryQuery.example = select min(id), max(id) from input_table
fromJobConfig.boundaryQuery.help = Customize query to retrieve minimal and maximal value of partition column.
# ToJob Config # ToJob Config
# toJobConfig.label = Database target
toJobConfig.label = To database configuration toJobConfig.help = Describes target destination and way how data should be persisted on the RDBMS system.
toJobConfig.help = You must supply the information requested in order to create \
the TO part of the job object.
# To schema name
toJobConfig.schemaName.label = Schema name toJobConfig.schemaName.label = Schema name
toJobConfig.schemaName.help = Schema name to write data into toJobConfig.schemaName.example = my_schema
toJobConfig.schemaName.help = Schema name if the table is not stored in default schema. Note: Not all database systems \
understands the concept of schema.
# To table name
toJobConfig.tableName.label = Table name toJobConfig.tableName.label = Table name
toJobConfig.tableName.help = Table name to write data into toJobConfig.tableName.example = target_table
toJobConfig.tableName.help = Destination table name to store transfer results.
# To table SQL toJobConfig.columnList.label = Column names
toJobConfig.sql.label = Table SQL statement toJobConfig.columnList.example = id,text,city
toJobConfig.sql.help = SQL statement to use to write data into (Optional if table name is already given) toJobConfig.columnList.help = Subset of columns that will will be written to. Omitted columns have to either allow \
NULL values or have defined default value.
# To table columnList toJobConfig.stageTableName.label = Staging table
toJobConfig.columnList.label = Table column names toJobConfig.stageTableName.example = staging_target_table
toJobConfig.columnList.help = Specific columns to use in the given table name or the table SQL (Optional) toJobConfig.stageTableName.help = Name of table with same structure as final table that should be used as a staging \
destination. Data will be directly written to final table if no staging table is specified.
# To stage table name toJobConfig.shouldClearStageTable.label = Clear stage table
toJobConfig.stageTableName.label = Stage table name toJobConfig.shouldClearStageTable.example = true
toJobConfig.stageTableName.help = Name of the staging table to use (Optional) toJobConfig.shouldClearStageTable.help = If set to true, staging table will be wiped out upon job start.
# To clear stage table
toJobConfig.shouldClearStageTable.label = Should clear stage table
toJobConfig.shouldClearStageTable.help = Indicate if the stage table should be cleared (Defaults to false)
# Incremental related configuration
incrementalRead.label = Incremental read incrementalRead.label = Incremental read
incrementalRead.help = Configuration related to incremental read incrementalRead.help = Configures optional incremental read from the database where source data are changing over time \
and only new changes need to be re-imported.
incrementalRead.checkColumn.label = Check column incrementalRead.checkColumn.label = Check column
incrementalRead.checkColumn.help = Column that is checked during incremental read for new values incrementalRead.checkColumn.example = last_update_date
incrementalRead.checkColumn.help = Column that is checked during incremental read for new values.
incrementalRead.lastValue.label = Last value incrementalRead.lastValue.label = Last value
incrementalRead.lastValue.help = Last read value, fetch will resume with higher values incrementalRead.lastValue.example = 19870202
incrementalRead.lastValue.help = Last imported value, job will read only newer values.
# Dialect # Dialect
dialect.label = SQL Dialect dialect.label = SQL Dialect
dialect.help = Dialect that should be used for generated queries dialect.help = Database dialect that should be used for generated queries.
dialect.identifierEnclose.label = Identifier enclose dialect.identifierEnclose.label = Identifier enclose
dialect.identifierEnclose.help = Character(s) that should be used to enclose table name, schema, column names, ... dialect.identifierEnclose.example = `
dialect.identifierEnclose.help = Character(s) that should be used to enclose table name, schema or column names.