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If you call the function with multiple arguments then the output will be wrapped in parenthesis "( ..., ... )". If you call the function with a single argument the output will not have the wrapping. If you call the function with a single scalar (non-reference) argument it will just return the scalar quoted if needed, but never break it into multiple lines. If you pass multiple arguments or references to arrays of hashes then the return value might contain line breaks to format it for easier reading. The returned string will never be "\n" terminated, even if contains multiple lines. This allows code like this to place the semicolon in the expected place:
If dump() is called in void context, then the dump is printed on STDERR and then "\n" terminated. You might find this useful for quick debug printouts, but the dd*() functions might be better alternatives for this.
It differs from dump($string) in that it will quote even numbers and not try to come up with clever expressions that might shorten the output. If a non-scalar argument is provided then it's just stringified instead of traversed.
The difference between them is only that ddx() will prefix the lines it prints with "# " and mark the first line with the file and line number where it was called. This is meant to be useful for debug printouts of state within programs.
Short hand for calling the dump_filtered() function of Data::Dump::Filtered. This works like dump(), but the last argument should be a filter callback function. As objects are visited the filter callback is invoked and it can modify how the objects are dumped.
This holds the string that's used for indenting multiline data structures. It's default value is " " (two spaces). Set it to "" to suppress indentation. Setting it to " " makes for nice visuals even if the dump output then fails to be valid Perl.
If you forget to explicitly import the dump function, your code will core dump. That's because you just called the builtin dump function by accident, which intentionally dumps core. Because of this you can also import the same function as pp, mnemonic for "pretty-print".
The Data::Dump module provides a much simpler interface than Data::Dumper. No OO interface is available and there are fewer configuration options to worry about. The other benefit is that the dump produced does not try to set any variables. It only returns what is needed to produce a copy of the arguments. This means that dump("foo") simply returns '"foo"', and dump(1..3) simply returns '(1, 2, 3)'.
To modify the default behavior of the access driver, use ORACLE_DATAPUMP access parameters . The information that you provide through the access driver ensures that data from the data source is processed so that it matches the definition of the external table.
To use the ORACLE_DATAPUMP access driver successfully, you must know a little about the file format and record format (including character sets and field data types) of the data files on your platform. You must also be able to use SQL to create an external table, and to perform queries against the table you create.
It is sometimes difficult to describe syntax without using other syntax that is not documented until later in the chapter. If it is not clear what some syntax is supposed to do, then you can skip ahead and read about that particular element.
When identifiers (for example, column or table names) are specified in the external table access parameters, certain values are considered to be reserved words by the access parameter parser. If a reserved word is used as an identifier, then it must be enclosed in double quotation marks. See Reserved Words for the ORACLE_DATAPUMP Access Driver.
The performance of a compression algorithm is characterized by its CPU usage and by the compression ratio (the size of the compressed output as a percentage of the uncompressed input). These measures vary on the size and type of inputs as well as the speed of the compression algorithms used. The compression ratio generally increases from low to high, with a trade-off of potentially consuming more CPU resources.
Oracle recommends that you run tests with the different compression levels on the data in your environment. The only way to ensure that the exported dump file set compression level meets your performance and storage requirements is to test a compression level based on your environment, workload characteristics, and size and type of data.
If LOGFILE is not specified, then a log file is created in the default directory and the name of the log file is generated from the table name and the process ID with an extension of .log. If a log file already exists by the same name, then the access driver reopens that log file and appends the new log information to the end.
If a directory object is not specified as part of the log file name, then the directory object specified by the DEFAULT DIRECTORY attribute is used. If a directory object is not specified and no default directory was specified, then an error is returned. See File Names for LOGFILE for information about using substitution variables to create unique file names during parallel loads or unloads.
In the following example, the dump file, dept_dmp, is in the directory identified by the directory object, load_dir, but the log file, deptxt.log, is in the directory identified by the directory object, log_dir.
%a is replaced by the agent number of the current process. The agent number is the unique number assigned to each parallel process accessing the external table. This number is padded to the left with zeros to fill three characters. For example, if the third parallel agent is creating a file and exttab_%a.log was specified as the file name, then the agent would create a file named exttab_003.log.
If %p or %a is not used to create unique file names for output files and an external table is being accessed in parallel, then output files may be corrupted or agents may be unable to write to the files.
You can use the VERSION clause to create a dump file set that is compatible with a previous release of Oracle Database. The VERSION clause enables you to identify the compatibility version of objects that you export. COMPATIBLE indicates that the source and target database releases versions are compatible. However, if the source and target databases are not compatible (for example, when you unload data from an Oracle Database 19c release to an Oracle Database 11g (Release 11.2) database, where compatibility is set to 11.2), then you can specify the VERSION clause to indicate the compatibility level of the dump file is readable by the earlier release Oracle Database
If you use the access parameter VERSION clause to specify 11.2, then an Oracle Database 11g Release 11.2 database is the earliest Oracle Database release that can read the dump file. Oracle Databases with compatibility set to 11.2 or later can read the dump file. However, if you set the VERSION clause to 19, then only Oracle Database 19c and later Oracle Database releases can read the dump file that you generate.
When the HADOOP_TRAILERS clause is set to ENABLED, Hadoop trailers are written to the dump file. Hadoop trailers include information about locations and sizes of different parts of the file. The information is written in a dump trailer block at the end of the file, and at the end of the stream data, instead of at the beginning.
If you do not specify a password for the correct encrypted columns in the external table on the second database, then an error is returned. If you do not specify the correct password, then garbage data is written to the dump file.
The data in the file is written in a binary format that can only be read by the ORACLE_DATAPUMP access driver. Once the dump file is created, it cannot be modified (that is, no data manipulation language (DML) operations can be performed on it). However, the file can be read any number of times and used as the dump file for another external table in the same database or in a different database.
The following steps use the sample schema, oe, to show an extended example of how you can use the ORACLE_DATAPUMP access driver to unload and load data. (The example assumes that the directory object def_dir1 already exists, and that user oe has read and write access to it.)
The dump file must be on a disk big enough to hold all the data being written. If there is insufficient space for all of the data, then an error is returned for the CREATE TABLE AS SELECT statement. One way to alleviate the problem is to create multiple files in multiple directory objects (assuming those directories are on different disks) when executing the CREATE TABLE AS SELECT statement. Multiple files can be created by specifying multiple locations in the form directory:file in the LOCATION clause and by specifying the PARALLEL clause. Each parallel I/O server process that is created to populate the external table writes to its own file. The number of files in the LOCATION clause should match the degree of parallelization because each I/O server process requires its own files. Any extra files that are specified will be ignored. If there are not enough files for the degree of parallelization specified, then the degree of parallelization is lowered to match the number of files in the LOCATION clause.
When the ORACLE_DATAPUMP access driver is used to load data, parallel processes can read multiple dump files or even chunks of the same dump file concurrently. Thus, data can be loaded in parallel even if there is only one dump file, as long as that file is large enough to contain multiple file offsets. The degree of parallelization is not tied to the number of files in the LOCATION clause when reading from ORACLE_DATAPUMP external tables.
For example, data from different production databases can be unloaded into separate files, and then those files can all be included in an external table defined in a data warehouse. This provides an easy way of aggregating data from multiple sources. The only restriction is that the metadata for all of the external tables be exactly the same. This means that the character set, time zone, schema name, table name, and column names must all match. Also, the columns must be defined in the same order, and their data types must be exactly alike. This means that after you create the first external table you must drop it so that you can use the same table name for the second external table. This ensures that the metadata listed in the two dump files is the same and they can be used together to create the same external table.
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