These sections describe SQL*Loader concepts.
You should understand the following basic concepts before using SQL*Loader to load data into an Oracle database.
7.1 SQL*Loader Features
SQL*Loader loads data from external files into tables of an Oracle database.
It has a powerful data parsing engine that puts little limitation on the format of the data in the data file. You can use SQL*Loader to do the following:
Load data across a network if your data files are on a different system than the database.
Load data from multiple data files during the same load session.
Load data into multiple tables during the same load session.
Specify the character set of the data.
Selectively load data (you can load records based on the records' values).
Manipulate the data before loading it, using SQL functions.
Generate unique sequential key values in specified columns.
Use the operating system's file system to access the data files.
Load data from disk, tape, or named pipe.
Generate sophisticated error reports, which greatly aid troubleshooting.
Load arbitrarily complex object-relational data.
Use secondary data files for loading LOBs and collections.
Use conventional, direct path, or external table loads. See Conventional Path Loads_ Direct Path Loads_ and External Table Loads.
You can use SQL*Loader in two ways: with or without a control file. A control file controls the behavior of SQL*Loader and one or more data files used in the load. Using a control file gives you more control over the load operation, which might be desirable for more complicated load situations. But for simple loads, you can use SQL*Loader without specifying a control file; this is referred to as SQL*Loader express mode. See SQL*Loader Express .
The output of SQL*Loader is an Oracle database (where the data is loaded), a log file, a bad file if there are rejected records, and potentially, a discard file.
The following figure shows an example of the flow of a typical SQL*Loader session that uses a control file.
Figure 7-1 SQL*Loader Overview
Description of "Figure 7-1 SQL*Loader Overview"
7.2 SQL*Loader Parameters
SQL*Loader is started when you specify the
sqlldr command and, optionally, parameters that establish various characteristics of the load operation.
In situations where you always use the same parameters for which the values seldom change, it can be more efficient to specify parameters using the following methods, rather than on the command line:
Parameters can be grouped together in a parameter file. You could then specify the name of the parameter file on the command line using the
Certain parameters can also be specified within the SQL*Loader control file by using the
Parameters specified on the command line override any parameter values specified in a parameter file or
7.3 SQL*Loader Control File
The control file is a text file written in a language that SQL*Loader understands.
In general, the control file has three main sections, in the following order:
Table and field-list information
Input data (optional section)
Some control file syntax considerations to keep in mind are:
The syntax is free-format (statements can extend over multiple lines).
The syntax is case-insensitive; however, strings enclosed in single or double quotation marks are taken literally, including case.
In control file syntax, comments extend from the two hyphens (--) that mark the beginning of the comment to the end of the line. The optional third section of the control file is interpreted as data rather than as control file syntax; consequently, comments in this section are not supported.
ZONEhave special meaning to SQL*Loader and are therefore reserved. To avoid potential conflicts, Oracle recommends that you do not use either
ZONEas a name for any tables or columns.
SQL*Loader Control File Reference for details about control file syntax and semantics
7.4 Input Data and Data Files
SQL*Loader reads data from one or more data files (or operating system equivalents of files) specified in the control file.
From SQL*Loader's perspective, the data in the data file is organized as records. A particular data file can be in fixed record format, variable record format, or stream record format. The record format can be specified in the control file with the
INFILE parameter. If no record format is specified, then the default is stream record format.
If data is specified inside the control file (that is,
INFILE * was specified in the control file), then the data is interpreted in the stream record format with the default record terminator.
7.4.1 Fixed Record Format
A file is in fixed record format when all records in a data file are the same byte length.
INFILE datafile_name "fix
This example specifies that SQL*Loader should interpret the particular data file as being in fixed record format where every record is
n bytes long.
Example 7-1 shows a control file that specifies a data file (
example1.dat) to be interpreted in the fixed record format. The data file in the example contains five physical records; each record has fields that contain the number and name of an employee. Each of the five records is 11 bytes long, including spaces. For the purposes of explaining this example, periods are used to represent spaces in the records, but in the actual records there would be no periods. With that in mind, the first physical record is
396,...ty,. which is exactly eleven bytes (assuming a single-byte character set). The second record is
4922,beth, followed by the newline character (
\n) which is the eleventh byte, and so on. (Newline characters are not required with the fixed record format; it is simply used here to illustrate that if used, it counts as a byte in the record length.)
Note that the length is always interpreted in bytes, even if character-length semantics are in effect for the file. This is necessary because the file could contain a mix of fields, some of which are processed with character-length semantics and others which are processed with byte-length semantics. See Character-Length Semantics.
Example 7-1 Loading Data in Fixed Record Format
load data infile 'example1.dat' "fix 11" into table example fields terminated by ',' optionally enclosed by '"' (col1, col2)
396,...ty,.4922,beth,\n 68773,ben,. 1,.."dave", 5455,mike,.
7.4.2 Variable Record Format and SQL*Loader
A file is in variable record format when the length of each record in a character field is included at the beginning of each record in the data file.
This format provides some added flexibility over the fixed record format and a performance advantage over the stream record format. For example, you can specify a data file that is to be interpreted as being in variable record format as follows:
INFILE "datafile_name" "var n"
In this example,
n specifies the number of bytes
in the record length field. If
n is not specified, then
SQL*Loader assumes a length of 5 bytes. Specifying
than 40 results in an error.
The following example shows a control file specification that tells SQL*Loader to
look for data in the data file
example2.dat and to expect variable record format
where the record's first three bytes indicate the length of the field. The
example2.dat data file consists of three physical records. The first is
specified to be 009 (9) bytes long, the second is 010 (10) bytes long (plus a 1-byte newline),
and the third is 012 (12) bytes long (plus a 1-byte newline). Note that newline characters are
not required with the variable record format. This example also assumes a single-byte character
set for the data file. For the purposes of this example, periods in
represent spaces; the fields do not contain actual periods.
Example 7-2 Loading Data in Variable Record Format
load data infile 'example2.dat' "var 3" into table example fields terminated by ',' optionally enclosed by '"' (col1 char(5), col2 char(7))
Note that the lengths are always interpreted in bytes, even if character-length semantics are in effect for the file. This is necessary because the file can contain a mix of fields, some processed with character-length semantics and others processed with byte-length semantics.
7.4.3 Stream Record Format
A file is in stream record format when the records are not specified by size; instead SQL*Loader forms records by scanning for the record terminator.
Stream record format is the most flexible format, but there can be a negative effect on performance. The specification of a data file to be interpreted as being in stream record format looks similar to the following:
INFILE datafile_name [
str indicates the file is in stream record format. The
terminator_string is specified as either
'is a string of characters enclosed in single or double quotation marks
'is a byte string in hexadecimal format
terminator_string contains special (nonprintable) characters, it should be specified as an
'. However, some nonprintable characters can be specified as (
') by using a backslash. For example:
\nindicates a line feed
\tindicates a horizontal tab
\findicates a form feed
\vindicates a vertical tab
\rindicates a carriage return
If the character set specified with the
NLS_LANG initialization parameter for your session is different from the character set of the data file, then character strings are converted to the character set of the data file. This is done before SQL*Loader checks for the default record terminator.
Hexadecimal strings are assumed to be in the character set of the data file, so no conversion is performed.
On UNIX-based platforms, if no
terminator_string is specified, then SQL*Loader defaults to the line feed character,
On Windows-based platforms, if no
terminator_string is specified, then SQL*Loader uses either
\r\n as the record terminator, depending on which one it finds first in the data file. This means that if you know that one or more records in your data file has
\n embedded in a field, but you want
\r\n to be used as the record terminator, then you must specify it.
Example 7-3 illustrates loading data in stream record format where the terminator string is specified using a character string,
'|\n'. The use of the backslash character allows the character string to specify the nonprintable line feed character.
Oracle Database Globalization Support Guide for information about using the Language and Character Set File Scanner (LCSSCAN) utility to determine the language and character set for unknown file text
Example 7-3 Loading Data in Stream Record Format
load data infile 'example3.dat' "str '|\n'" into table example fields terminated by ',' optionally enclosed by '"' (col1 char(5), col2 char(7)) example3.dat: 396,ty,| 4922,beth,|
7.4.4 Logical Records
SQL*Loader organizes the input data into physical records, according to the specified record format. By default, a physical record is a logical record.
For added flexibility, SQL*Loader can be instructed to combine several physical records into a logical record.
SQL*Loader can be instructed to follow one of the following logical record-forming strategies:
Combine a fixed number of physical records to form each logical record.
Combine physical records into logical records while a certain condition is true.
7.4.5 Data Fields
Once a logical record is formed, field setting on the logical record is done.
Field setting is a process in which SQL*Loader uses control-file field specifications to determine which parts of logical record data correspond to which control-file fields. It is possible for two or more field specifications to claim the same data. Also, it is possible for a logical record to contain data that is not claimed by any control-file field specification.
Most control-file field specifications claim a particular part of the logical record. This mapping takes the following forms:
The byte position of the data field's beginning, end, or both, can be specified. This specification form is not the most flexible, but it provides high field-setting performance.
The strings delimiting (enclosing, terminating, or both) a particular data field can be specified. A delimited data field is assumed to start where the last data field ended, unless the byte position of the start of the data field is specified.
You can specify the byte offset, the length of the data field, or both. This way each field starts a specified number of bytes from where the last one ended and continues for a specified length.
Length-value data types can be used. In this case, the first
nnumber of bytes of the data field contain information about how long the rest of the data field is.
7.5 LOBFILEs and Secondary Data Files (SDFs)
LOB data can be lengthy enough that it makes sense to load it from a LOBFILE.
LOB data can be lengthy enough that it makes sense to load it from a LOBFILE. In LOBFILEs, LOB data instances are still considered to be in fields (predetermined size, delimited, length-value), but these fields are not organized into records (the concept of a record does not exist within LOBFILEs). Therefore, the processing overhead of dealing with records is avoided. This type of organization of data is ideal for LOB loading.
For example, you might have a table that stores employee names, IDs, and their resumes. When loading this table, you could read the employee names and IDs from the main data files and you could read the resumes, which can be quite lengthy, from LOBFILEs.
You might also use LOBFILEs to facilitate the loading of XML data. You can use
XML columns to hold data that models structured and semistructured data. Such data can be quite lengthy.
Secondary data files (SDFs) are similar in concept to primary data files. Like primary data files, SDFs are a collection of records, and each record is made up of fields. The SDFs are specified on a per control-file-field basis. Only a
collection_fld_spec can name an SDF as its data source.
SDFs are specified using the
SDF parameter. The
SDF parameter can be followed by either the file specification string, or a
FILLER field that is mapped to a data field containing one or more file specification strings.
7.6 Data Conversion and Data Type Specification
During a conventional path load, data fields in the data file are converted into columns in the database (direct path loads are conceptually similar, but the implementation is different).
There are two conversion steps:
SQL*Loader uses the field specifications in the control file to interpret the format of the data file, parse the input data, and populate the bind arrays that correspond to a SQL
INSERTstatement using that data. A bind array is an area in memory where SQL*Loader stores data that is to be loaded. When the bind array is full, the data is transmitted to the database. The bind array size is controlled by the SQL*Loader
The database accepts the data and executes the
INSERTstatement to store the data in the database.
Oracle Database uses the data type of the column to convert the data into its final, stored form. Keep in mind the distinction between a field in a data file and a column in the database. Remember also that the field data types defined in a SQL*Loader control file are not the same as the column data types.
7.7 Discarded and Rejected Records
Records read from the input file might not be inserted into the database.
Such records are placed in either a bad file or a discard file.
7.7.1 The Bad File
The bad file contains records that were rejected, either by SQL*Loader or by the Oracle database.
If you do not specify a bad file and there are rejected records, then SQL*Loader automatically creates one. It will have the same name as the data file, with a
.bad extension. Some of the possible reasons for rejection are discussed in the next sections.
22.214.171.124 Records Rejected by SQL*Loader
Data file records are rejected by SQL*Loader when the input format is invalid.
126.96.36.199 Records Rejected by Oracle Database During a SQL*Loader Operation
After a data file record is accepted for processing by SQL*Loader, it is sent to the database for insertion into a table as a row.
If the database determines that the row is valid, then the row is inserted into the table. If the row is determined to be invalid, then the record is rejected and SQL*Loader puts it in the bad file. The row may be invalid, for example, because a key is not unique, because a required field is null, or because the field contains invalid data for the Oracle data type.
7.7.2 The Discard File
As SQL*Loader executes, it may create a file called the discard file.
This file is created only when it is needed, and only if you have specified that a discard file should be enabled. The discard file contains records that were filtered out of the load because they did not match any record-selection criteria specified in the control file.
The discard file therefore contains records that were not inserted into any table in the database. You can specify the maximum number of such records that the discard file can accept. Data written to any database table is not written to the discard file.
7.8 Log File and Logging Information
When SQL*Loader begins execution, it creates a log file.
If it cannot create a log file, then execution terminates. The log file contains a detailed summary of the load, including a description of any errors that occurred during the load.
7.9 Conventional Path Loads, Direct Path Loads, and External Table Loads
SQL*Loader provides several methods to load data.
7.9.1 Conventional Path Loads
During conventional path loads, the input records are parsed according to the field specifications, and each data field is copied to its corresponding bind array (an area in memory where SQL*Loader stores data to be loaded).
When the bind array is full (or no more data is left to read), an array insert operation is performed.
SQL*Loader stores LOB fields after a bind array insert is done. Thus, if there are any errors in processing the LOB field (for example, the LOBFILE could not be found), then the LOB field is left empty. Note also that because LOB data is loaded after the array insert has been performed,
AFTER row triggers may not work as expected for LOB columns. This is because the triggers fire before SQL*Loader has a chance to load the LOB contents into the column. For instance, suppose you are loading a LOB column,
C1, with data and you want a
BEFORE row trigger to examine the contents of this LOB column and derive a value to be loaded for some other column,
C2, based on its examination. This is not possible because the LOB contents will not have been loaded at the time the trigger fires.
7.9.2 Direct Path Loads
A direct path load parses the input records according to the field specifications, converts the input field data to the column data type, and builds a column array.
The column array is passed to a block formatter, which creates data blocks in Oracle database block format. The newly formatted database blocks are written directly to the database, bypassing much of the data processing that normally takes place. Direct path load is much faster than conventional path load, but entails several restrictions.
7.9.3 External Table Loads
External tables are defined as tables that do not reside in the database, and can be in any format for which an access driver is provided.
Oracle Database provides two access drivers:
ORACLE_DATAPUMP. By providing the database with metadata describing an external table, the database is able to expose the data in the external table as if it were data residing in a regular database table.
An external table load creates an external table for data that is contained in an external data file. The load executes
INSERT statements to insert the data from the data file into the target table.
The advantages of using external table loads over conventional path and direct path loads are as follows:
If a data file is big enough, then an external table load attempts to load that file in parallel.
An external table load allows modification of the data being loaded by using SQL functions and PL/SQL functions as part of the
INSERTstatement that is used to create the external table.
7.9.4 Choosing External Tables Versus SQL*Loader
The record parsing of external tables and SQL*Loader is very similar, so normally there is not a major performance difference for the same record format. However, due to the different architecture of external tables and SQL*Loader, there are situations in which one method may be more appropriate than the other.
Use external tables for the best load performance in the following situations:
You want to transform the data as it is being loaded into the database
You want to use transparent parallel processing without having to split the external data first
Use SQL*Loader for the best load performance in the following situations:
You want to load data remotely
Transformations are not required on the data, and the data does not need to be loaded in parallel
You want to load data, and additional indexing of the staging table is required
7.9.5 Behavior Differences Between SQL*Loader and External Tables
This section describes important differences between loading data with external tables, using the
ORACLE_LOADER access driver, as opposed to loading data with SQL*Loader conventional and direct path loads.
This information does not apply to the
ORACLE_DATAPUMP access driver.
188.8.131.52 Multiple Primary Input Data Files
If there are multiple primary input data files with SQL*Loader loads, then a bad file and a discard file are created for each input data file.
With external table loads, there is only one bad file and one discard file for all input data files. If parallel access drivers are used for the external table load, then each access driver has its own bad file and discard file.
184.108.40.206 Syntax and Data Types
This section provides a description of unsupported syntax and data types with external table loads.
CONCATENATEto combine multiple physical records into a single logical record.
Loading of the following SQL*Loader data types:
GRAPHIC EXTERNAL, and
Use of the following database column types:
LONG, nested table,
REF, primary key
220.127.116.11 Byte-Order Marks
With SQL*Loader, if a primary data file uses a Unicode character set (UTF8 or UTF16) and it also contains a byte-order mark (BOM), then the byte-order mark is written at the beginning of the corresponding bad and discard files.
With external table loads, the byte-order mark is not written at the beginning of the bad and discard files.
18.104.22.168 Default Character Sets, Date Masks, and Decimal Separator
For fields in a data file, the settings of NLS environment variables on the client determine the default character set, date mask, and decimal separator.
For fields in a data file, the settings of NLS environment variables on the client determine the default character set, date mask, and decimal separator. For fields in external tables, the database settings of the NLS parameters determine the default character set, date masks, and decimal separator.
22.214.171.124 Use of the Backslash Escape Character
This section describes how to use the backslash escape character.
In SQL*Loader, you can use the backslash (\) escape character to identify a single quotation mark as the enclosure character, as follows:
FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '\''
In external tables, the use of the backslash escape character within a string raises an error. The workaround is to use double quotation marks to identify a single quotation mark as the enclosure character, as follows:
TERMINATED BY ',' ENCLOSED BY "'"
7.10 Loading Objects, Collections, and LOBs
You can use SQL*Loader to bulk load objects, collections, and LOBs.
7.10.1 Supported Object Types
SQL*Loader supports loading of the column and row object types.
126.96.36.199 column objects
When a column of a table is of some object type, the objects in that column are referred to as column objects.
Conceptually such objects are stored in their entirety in a single column position in a row. These objects do not have object identifiers and cannot be referenced.
If the object type of the column object is declared to be nonfinal, then SQL*Loader allows a derived type (or subtype) to be loaded into the column object.
188.8.131.52 row objects
These objects are stored in tables, known as object tables, that have columns corresponding to the attributes of the object.
The object tables have an additional system-generated column, called
SYS_NC_OID$, that stores system-generated unique identifiers (OIDs) for each of the objects in the table. Columns in other tables can refer to these objects by using the OIDs.
If the object type of the object table is declared to be nonfinal, then SQL*Loader allows a derived type (or subtype) to be loaded into the row object.
7.10.2 Supported Collection Types
SQL*Loader supports loading of nested tables and
VARRAY collection types.
184.108.40.206 Nested Tables
A nested table is a table that appears as a column in another table.
All operations that can be performed on other tables can also be performed on nested tables.
VARRAY is a variable sized arrays.
An array is an ordered set of built-in types or objects, called elements. Each array element is of the same type and has an index, which is a number corresponding to the element's position in the
When you create a
VARRAY type, you must specify the maximum size. Once you have declared a
VARRAY type, it can be used as the data type of a column of a relational table, as an object type attribute, or as a PL/SQL variable.
Loading Collections (Nested Tables and VARRAYs) for details on using SQL*Loader control file data definition language to load these collection types
7.10.3 Supported LOB Data Types
A LOB is a large object type.
This release of SQL*Loader supports loading of four LOB data types:
BLOB: a LOB containing unstructured binary data
CLOB: a LOB containing character data
NCLOB: a LOB containing characters in a database national character set
BLOBstored outside of the database tablespaces in a server-side operating system file
LOBs can be column data types, and except for
NCLOB, they can be an object's attribute data types. LOBs can have an actual value, they can be
null, or they can be "empty."
Loading LOBs for details on using SQL*Loader control file data definition language to load these LOB types
7.11 Partitioned Object Support
SQL*Loader supports loading partitioned objects in the database.
A partitioned object in an Oracle database is a table or index consisting of partitions (pieces) that have been grouped, typically by common logical attributes. For example, sales data for a particular year might be partitioned by month. The data for each month is stored in a separate partition of the sales table. Each partition is stored in a separate segment of the database and can have different physical attributes.
SQL*Loader partitioned object support enables SQL*Loader to load the following:
A single partition of a partitioned table
All partitions of a partitioned table
A nonpartitioned table
7.12 Application Development: Direct Path Load API
Oracle provides a direct path load API for application developers.
See the Oracle Call Interface Programmer's Guide for more information.
7.13 SQL*Loader Case Studies
SQL*Loader features are illustrated in a variety of case studies.
The case studies are based upon the Oracle demonstration database tables,
dept, owned by the user
scott. (In some case studies, additional columns have been added.)The case studies are numbered 1 through 11, starting with the simplest scenario and progressing in complexity.
Files for use in the case studies are located in the
$ORACLE_HOME/rdbms/demo directory. These files are installed when you install the Oracle Database 12c Examples (formerly Companion) media. See Table 7-1 for the names of the files.
The following is a summary of the case studies:
Case Study 1: Loading Variable-Length Data - Loads stream format records in which the fields are terminated by commas and may be enclosed by quotation marks. The data is found at the end of the control file.
Case Study 2: Loading Fixed-Format Fields - Loads data from a separate data file.
Case Study 3: Loading a Delimited, Free-Format File - Loads data from stream format records with delimited fields and sequence numbers. The data is found at the end of the control file.
Case Study 4: Loading Combined Physical Records - Combines multiple physical records into one logical record corresponding to one database row.
Case Study 5: Loading Data into Multiple Tables - Loads data into multiple tables in one run.
Case Study 6: Loading Data Using the Direct Path Load Method - Loads data using the direct path load method.
Case Study 7: Extracting Data from a Formatted Report - Extracts data from a formatted report.
Case Study 8: Loading Partitioned Tables - Loads partitioned tables.
Case Study 9: Loading LOBFILEs (CLOBs) - Adds a
resumeto the table
emp, uses a
res_file), and loads multiple LOBFILEs into the
Case Study 10: REF Fields and VARRAYs - Loads a customer table that has a primary key as its OID and stores order items in a
VARRAY. Loads an order table that has a reference to the customer table and the order items in a
Case Study 11: Loading Data in the Unicode Character Set - Loads data in the Unicode character set, UTF16, in little-endian byte order. This case study uses character-length semantics.
7.13.1 Case Study Files
This section describes case study files.
Generally, each case study is comprised of the following types of files:
Control files (for example,
Data files (for example,
Setup files (for example,
These files are installed when you install the Oracle Database 12c Examples (formerly Companion) media. They are installed in the
If the sample data for the case study is contained within the control file, then there will be no .
dat file for that case.
Case study 2 does not require any special set up, so there is no .
sql script for that case. Case study 7 requires that you run both a starting (setup) script and an ending (cleanup) script.
Table 7-1 lists the files associated with each case.
Table 7-1 Case Studies and Their Related Files
7.13.2 Running the Case Studies
This section describes running the case studies.
In general, you use the following steps to run the case studies (be sure you are in the
$ORACLE_HOME/rdbms/demo directory, which is where the case study files are located):
- At the system prompt, type
sqlplusand press Enter to start SQL*Plus. At the user-name prompt, enter
scott. At the password prompt, enter
The SQL prompt is displayed.
- At the SQL prompt, execute the SQL script for the case study. For example, to execute the SQL script for case study 1, enter the following:
This prepares and populates tables for the case study and then returns you to the system prompt.
- At the system prompt, start SQL*Loader and run the case study, as follows:
sqlldr USERID=scott CONTROL=
Substitute the appropriate control file name and log file name for the
LOGparameters and press Enter. When you are prompted for a password, type
tigerand then press Enter.
Be sure to read the control file for each case study before you run it. The beginning of the control file contains information about what is being demonstrated in the case study and any other special information you need to know. For example, case study 6 requires that you add
DIRECT=TRUE to the SQL*Loader command line.
7.13.3 Case Study Log Files
Log files for the case studies are not provided in the
This is because the log file for each case study is produced when you execute the case study, provided that you use the
LOG parameter. If you do not want to produce a log file, then omit the
LOG parameter from the command line.
7.13.4 Checking the Results of a Case Study
To check the results of running a case study, start SQL*Plus and perform a select operation from the table that was loaded in the case study.
This is done, as follows:
- At the system prompt, type
sqlplusand press Enter to start SQL*Plus. At the user-name prompt, enter
scott. At the password prompt, enter
The SQL prompt is displayed.
- At the SQL prompt, use the
SELECTstatement to select all rows from the table that the case study loaded. For example, if the table
empwas loaded, then enter:
SQL> SELECT * FROM emp;
The contents of each row in the
emptable will be displayed.