COPY INTO
You can load data from CSV, JSON, or Parquet files that are in a source into an existing Apache Iceberg table.
For information about how the COPY INTO <table>
operation works, as well as the supported storage locations and requirements, see Copying Data Into Apache Iceberg Tables.
Syntax
SyntaxCOPY INTO <table_name>
[ AT { REF[ERENCE] | BRANCH } <reference_name> ]
FROM '@<storage_location_name>[/<path>[/<file_name>] ]'
[ FILES ( '<file_name>' [ , ... ] ) |
REGEX '<regex_pattern>' ]
[ FILE_FORMAT 'csv' | 'json' | 'parquet' ]
[ ( [csv_options] | [json_options] ) ]
[ DATE_FORMAT '<string>' ]
[ EMPTY_AS_NULL [ '<boolean>' ] [, ...] ]
[ ESCAPE_CHAR '<escape_character>' ]
[ FIELD_DELIMITER '<character>' ]
[ NULL_IF ( '<string>' [, ...] ) ]
[ ON_ERROR { 'abort' | 'continue' } ]
[ QUOTE_CHAR '<character>' ]
[ RECORD_DELIMITER '<character>' ]
[ SKIP_LINES <n> ]
[ TIME_FORMAT '<string>' ]
[ TIMESTAMP_FORMAT '<string>' ]
[ TRIM_SPACE [ '<boolean>' ] ]
[ DATE_FORMAT '<string>' ]
[ EMPTY_AS_NULL [ '<boolean>' ] [, ...] ]
[ NULL_IF ( '<string>' [, ...] )[, ...] ]
[ ON_ERROR { 'abort' | 'continue' } ]
[ TIME_FORMAT '<string>' ]
[ TIMESTAMP_FORMAT '<string>' ]
[ TRIM_SPACE [ '<boolean>' ] ]
Parameters
<table_name> String
The name of the table, which can also include the necessary qualifier if the table is not in the current context. Example: Samples.'samples.dremio.com'.'NYC-taxi-trips'
AT { REF[ERENCE] | BRANCH } <reference_name> String Optional
(Applicable only to Nessie catalogs) Specifies the reference at which the table exists. When this parameter is omitted, the current reference is used.
REF
orREFERENCE
: Identifies the specific reference.BRANCH
: Identifies the specific branch.
'@<storage_location_name>[/<path>[/<filename>] ]' String
Specifies the file system location to load files from. The location provided must be a preconfigured Dremio Source such that only the storage location name and file path need to be provided.
- The location path can be a directory or a specific file name.
- If a specific file is provided then the
COPY INTO
operation works only on that file. - If instead a directory path is provided without a file name then the operation operates on all files in the directory including subdirectories recursively.
[ FILES ( '<file_name>' [ , ... ] ) | REGEX '<regex_pattern>' ] String Optional
Specifies a list of files to be loaded in the FILES
clause. The files must already have been staged in the storage location specified in the FROM clause. The statement will error when one or more file specified is not found or not accessible. <file_name>
is of format [<directory_name>]/<file_name>
.
Alternatively, specifies a regular expression pattern string in the REGEX
clause, enclosed in single quotes, specifying the file names, paths, or both to match. Path is matched relative to the storage location. The expression must be in a Perl-compatible format.
For best performance, avoid applying patterns that filter on a large number of files.
You can use either FILES
or REGEX
, but not both.
- The maximum number of file names that can be specified is 1000.
- This clause is mutually exclusive with the
[/<file_name>]
option in the previous clause.
[ FILE_FORMAT 'csv' | 'json' | 'parquet' ] String Optional
The format of the file or files to copy data from.
- If not specified, the file format is determined based upon the file extension, which means that the file extension is required if
FILE_FORMAT
is not specified. - To load files that do not have an extension,
FILE_FORMAT
must be specified. - All files loaded in a
COPY INTO
operation must be of the same file format.
You can use uncompressed or compressed CSV and JSON files. Compressed files must be in the gzip format, using the .gz extension, or in the bzip2 format, using the .bz2 extension.
csv_options String
Options that describe the formats and other characteristics of the source CSV
file or files.
json_options String
Options that describe the formats and other characteristics of the source JSON
file or files.
There are no options, such as ON_ERROR, supported for Parquet files.
CSV Format Options
DATE_FORMAT '<string>' String Optional
String that defines the format of date values in the data files to be loaded. If a value is not specified, YYYY-MM-DD is used. See Date/Time Formatting for more format elements.
EMPTY_AS_NULL [ '<boolean>' ] String Optional
Boolean that specifies whether an empty string is considered a NULL field or an empty string. If a value is not specified, TRUE
is used.
ESCAPE_CHAR '<escape_character>' String Optional
A single character used as the escape character for the character specified by QUOTE_CHAR
. The escape character provides a way to include the QUOTE_CHAR character inside a string literal by modifying the meaning of that character in the string. If a value is not specified, "
is used.
EXTRACT_HEADER '<boolean>' String Optional
Boolean that specifies if the first line in the CSV is a header. If a value is not specified, TRUE
is used. If SKIP_LINES <n> is also specified and EXTRACT_HEADER is set to TRUE
, the n+1 line in the file is considered to be the header.
FIELD_DELIMITER '<character>' String Optional
The single character used to separate fields in the file. If a value is not specified, ,
is used.
NULL_IF ( '<string>' [, ...] ) String Optional
Replace strings in the data load source with NULL
.
ON_ERROR { 'abort' | 'continue' } String Optional
Specifies what to do if an error is encountered during the loading process.
-
'abort'
Specifies that the COPY INTO operation should immediately abort if it encounters an error. This is the default option. -
'continue'
Specifies that the COPY INTO operation should continue if it encounters an error.Every record that cannot be parsed in a CSV file is rejected; however, all records that can be parsed in the file are processed. The exception is that, if the currently parsed element exceeds the configured field size limit (which is configured by
limits.single_field_size_bytes
), the rest of the file is rejected.When the copy operation is complete, the output displays the number of records loaded into the Iceberg table and the number of rejected records.
If there is at least one rejected record, you can query the system table SYS.COPY_ERRORS_HISTORY to find out information about the job that ran the COPY INTO operation.
To obtain information about rejected records in particular files, query the system table to obtain the ID of the job that ran the COPY INTO operation. Then, use the
copy_errors()
function in aSELECT
command, specifying the job ID and the name of the target table.
QUOTE_CHAR '<character>' String Optional
The single character used to quote field data within a record. The default is a double-quotation mark.
RECORD_DELIMITER '<character>' String Optional
One or more characters that separate records in an input file. Accepts common escape sequences. If a value is not specified, \r\n is used.
SKIP_LINES <n> Integer Optional
Number of lines to ignore at the beginning of each input file. If no value is given, no lines are skipped. Must be a non-negative integer. If SKIP_LINES <n> is specified and EXTRACT_HEADER is also set to TRUE
, the n+1 line in the file is considered to be the header.
TIME_FORMAT '<string>' String Optional
String that defines the format of time values in the data files to be loaded. If a value is not specified, HH24:MI:SS.FFF is used. See Date/Time Formatting for more format elements.
TIMESTAMP_FORMAT '<string>' String Optional
String that defines the format of timestamp values in the data files to be loaded. If a value is not specified, YYYY-MM-DD HH24:MI:SS.FFF is used. See Date/Time Formatting for more format elements.
TRIM_SPACE [ '<boolean>' ] String Optional
Boolean that specifies whether or not to remove leading and trailing white space from strings. The default is FALSE.
JSON Format Options
DATE_FORMAT '<string>' String Optional
String that defines the format of date values in the data files to be loaded. If a value is not specified, YYYY-MM-DD is used. See Date/Time Formatting for more format elements.
EMPTY_AS_NULL [ '<boolean>' ] String Optional
Boolean that specifies whether an empty string is considered a NULL field or an empty string. If a value is not specified, TRUE
is used.
NULL_IF ( '<string>' [, ...] ) String Optional
Replace strings in the data load source with NULL.
ON_ERROR { 'abort' | 'continue' } String Optional
Specifies what to do if an error is encountered during the loading process.
-
'abort'
Specifies that the COPY INTO operation should immediately abort if it encounters an error. This is the default option. -
'continue'
Specifies that the COPY INTO operation should continue if it encounters an error.If a record in a JSON file cannot be parsed, that record and all subsequent records in the file are rejected.
When the copy operation is complete, the output displays the number of records loaded into the Iceberg table and the number of rejected records.
If there is at least one rejected record, you can query the system table SYS.COPY_ERRORS_HISTORY to find out information about the job that ran the COPY INTO operation.
To obtain information about rejected records in particular files, query the system table to obtain the ID of the job that ran the COPY INTO operation. Then, use the
copy_errors()
function in aSELECT
command, specifying the job ID and the name of the target table.
TIME_FORMAT '<string>' String Optional
String that defines the format of time values in the data files to be loaded. If a value is not specified, HH24:MI:SS.FFF is used. See Date/Time Formatting for more format elements.
TIMESTAMP_FORMAT '<string>' String Optional
String that defines the format of timestamp values in the data files to be loaded. If a value is not specified, YYYY-MM-DD HH24:MI:SS.FFF is used. See Date/Time Formatting for more format elements.
TRIM_SPACE [ '<boolean>' ] String Optional
Boolean that specifies whether or not to remove leading and trailing white space from strings. The default is FALSE
.
Output
The command returns this output:
Column name | Description |
---|---|
Rows Inserted | The number of rows loaded from the source data files. |
Examples
Copying the data from all files present in a folderCOPY INTO context.MyTable
FROM '@SOURCE/bucket/path/folder/'
FILE_FORMAT 'json'
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder/file1.json'
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
REGEX '.*.csv'
COPY INTO 'context.myTable'
FROM '@SOURCE/bucket/path/folder'
REGEX '^2020-11-1[2-3]/.*/'
FILE_FORMAT 'json'
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
REGEX 'part.*'
FILE_FORMAT 'json'
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('foo.csv', 'dir/bar.csv')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('date_time_data_file1.csv', 'date_time_data_file2.csv')
(DATE_FORMAT 'DD-MM-YYYY', TIME_FORMAT 'HH24:MI:SS')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('file1.csv', 'file2.csv', 'file3.csv')
(NULL_IF ('None', 'NA'))
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
(TRIM_SPACE 'true', EMPTY_AS_NULL 'true')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILE_FORMAT 'csv'
(RECORD_DELIMITER '\n', FIELD_DELIMITER '\t')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('fileName.csv')
(ESCAPE_CHAR '|')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('fileName.csv')
(ON_ERROR 'continue')
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILE_FORMAT 'parquet'
COPY INTO context.myTable
FROM '@SOURCE/bucket/path/folder'
FILES ('file1.parquet', 'file2.parquet')