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slug | sidebar_position | sidebar_label |
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/en/sql-reference/table-functions/file | 60 | file |
file
A table engine which provides a table-like interface to SELECT from and INSERT into files, similar to the s3 table function. Use file()
when working with local files, and s3()
when working with buckets in object storage such as S3, GCS, or MinIO.
The file
function can be used in SELECT
and INSERT
queries to read from or write to files.
Syntax
file([path_to_archive ::] path [,format] [,structure] [,compression])
Parameters
path
— The relative path to the file from user_files_path. Supports in read-only mode the following globs:*
,?
,{abc,def}
(with'abc'
and'def'
being strings) and{N..M}
(withN
andM
being numbers).path_to_archive
- The relative path to a zip/tar/7z archive. Supports the same globs aspath
.format
— The format of the file.structure
— Structure of the table. Format:'column1_name column1_type, column2_name column2_type, ...'
.compression
— The existing compression type when used in aSELECT
query, or the desired compression type when used in anINSERT
query. Supported compression types aregz
,br
,xz
,zst
,lz4
, andbz2
.
Returned value
A table for reading or writing data in a file.
Examples for Writing to a File
Write to a TSV file
INSERT INTO TABLE FUNCTION
file('test.tsv', 'TSV', 'column1 UInt32, column2 UInt32, column3 UInt32')
VALUES (1, 2, 3), (3, 2, 1), (1, 3, 2)
As a result, the data is written into the file test.tsv
:
# cat /var/lib/clickhouse/user_files/test.tsv
1 2 3
3 2 1
1 3 2
Partitioned write to multiple TSV files
If you specify a PARTITION BY
expression when inserting data into a table function of type file()
, then a separate file is created for each partition. Splitting the data into separate files helps to improve performance of read operations.
INSERT INTO TABLE FUNCTION
file('test_{_partition_id}.tsv', 'TSV', 'column1 UInt32, column2 UInt32, column3 UInt32')
PARTITION BY column3
VALUES (1, 2, 3), (3, 2, 1), (1, 3, 2)
As a result, the data is written into three files: test_1.tsv
, test_2.tsv
, and test_3.tsv
.
# cat /var/lib/clickhouse/user_files/test_1.tsv
3 2 1
# cat /var/lib/clickhouse/user_files/test_2.tsv
1 3 2
# cat /var/lib/clickhouse/user_files/test_3.tsv
1 2 3
Examples for Reading from a File
SELECT from a CSV file
First, set user_files_path
in the server configuration and prepare a file test.csv
:
$ grep user_files_path /etc/clickhouse-server/config.xml
<user_files_path>/var/lib/clickhouse/user_files/</user_files_path>
$ cat /var/lib/clickhouse/user_files/test.csv
1,2,3
3,2,1
78,43,45
Then, read data from test.csv
into a table and select its first two rows:
SELECT * FROM
file('test.csv', 'CSV', 'column1 UInt32, column2 UInt32, column3 UInt32')
LIMIT 2;
┌─column1─┬─column2─┬─column3─┐
│ 1 │ 2 │ 3 │
│ 3 │ 2 │ 1 │
└─────────┴─────────┴─────────┘
Inserting data from a file into a table
INSERT INTO FUNCTION
file('test.csv', 'CSV', 'column1 UInt32, column2 UInt32, column3 UInt32')
VALUES (1, 2, 3), (3, 2, 1);
SELECT * FROM
file('test.csv', 'CSV', 'column1 UInt32, column2 UInt32, column3 UInt32');
┌─column1─┬─column2─┬─column3─┐
│ 1 │ 2 │ 3 │
│ 3 │ 2 │ 1 │
└─────────┴─────────┴─────────┘
Reading data from table.csv
, located in archive1.zip
or/and archive2.zip
:
SELECT * FROM file('user_files/archives/archive{1..2}.zip :: table.csv');
Globs in path
Paths may use globbing. Files must match the whole path pattern, not only the suffix or prefix. There is one exception that if the path refers to an existing
directory and does not use globs, a *
will be implicitly added to the path so
all the files in the directory are selected.
*
— Represents arbitrarily many characters except/
but including the empty string.?
— Represents an arbitrary single character.{some_string,another_string,yet_another_one}
— Substitutes any of strings'some_string', 'another_string', 'yet_another_one'
. The strings can contain the/
symbol.{N..M}
— Represents any number>= N
and<= M
.**
- Represents all files inside a folder recursively.
Constructions with {}
are similar to the remote and hdfs table functions.
Example
Suppose there are these files with the following relative paths:
some_dir/some_file_1
some_dir/some_file_2
some_dir/some_file_3
another_dir/some_file_1
another_dir/some_file_2
another_dir/some_file_3
Query the total number of rows in all files:
SELECT count(*) FROM file('{some,another}_dir/some_file_{1..3}', 'TSV', 'name String, value UInt32');
An alternative path expression which achieves the same:
SELECT count(*) FROM file('{some,another}_dir/*', 'TSV', 'name String, value UInt32');
Query the total number of rows in some_dir
using the implicit *
:
SELECT count(*) FROM file('some_dir', 'TSV', 'name String, value UInt32');
:::note
If your listing of files contains number ranges with leading zeros, use the construction with braces for each digit separately or use ?
.
:::
Example
Query the total number of rows in files named file000
, file001
, ... , file999
:
SELECT count(*) FROM file('big_dir/file{0..9}{0..9}{0..9}', 'CSV', 'name String, value UInt32');
Example
Query the total number of rows from all files inside directory big_dir/
recursively:
SELECT count(*) FROM file('big_dir/**', 'CSV', 'name String, value UInt32');
Example
Query the total number of rows from all files file002
inside any folder in directory big_dir/
recursively:
SELECT count(*) FROM file('big_dir/**/file002', 'CSV', 'name String, value UInt32');
Virtual Columns
_path
— Path to the file. Type:LowCardinalty(String)
._file
— Name of the file. Type:LowCardinalty(String)
._size
— Size of the file in bytes. Type:Nullable(UInt64)
. If the file size is unknown, the value isNULL
._time
— Last modified time of the file. Type:Nullable(DateTime)
. If the time is unknown, the value isNULL
.
Hive-style partitioning
When setting use_hive_partitioning
is set to 1, ClickHouse will detect Hive-style partitioning in the path (/name=value/
) and will allow to use partition columns as virtual columns in the query. These virtual columns will have the same names as in the partitioned path, but starting with _
.
Example
Use virtual column, created with Hive-style partitioning
SET use_hive_partitioning = 1;
SELECT * from file('data/path/date=*/country=*/code=*/*.parquet') where _date > '2020-01-01' and _country = 'Netherlands' and _code = 42;
Settings
- engine_file_empty_if_not_exists - allows to select empty data from a file that doesn't exist. Disabled by default.
- engine_file_truncate_on_insert - allows to truncate file before insert into it. Disabled by default.
- engine_file_allow_create_multiple_files - allows to create a new file on each insert if format has suffix. Disabled by default.
- engine_file_skip_empty_files - allows to skip empty files while reading. Disabled by default.
- storage_file_read_method - method of reading data from storage file, one of: read, pread, mmap (only for clickhouse-local). Default value:
pread
for clickhouse-server,mmap
for clickhouse-local.
See Also