ClickHouse/docs/en/query_language/table_functions/hdfs.md

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# hdfs
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Creates a table from files in HDFS. This table function is similar to [url](url.md) and [file](file.md) ones.
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```sql
hdfs(URI, format, structure)
```
**Input parameters**
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- `URI` — The relative URI to the file in HDFS. Path to file support following globs in readonly mode: `*`, `?`, `{abc,def}` and `{N..M}` where `N`, `M` — numbers, ``'abc', 'def'` — strings.
- `format` — The [format](../../interfaces/formats.md#formats) of the file.
- `structure` — Structure of the table. Format `'column1_name column1_type, column2_name column2_type, ...'`.
**Returned value**
A table with the specified structure for reading or writing data in the specified file.
**Example**
Table from `hdfs://hdfs1:9000/test` and selection of the first two rows from it:
```sql
SELECT *
FROM hdfs('hdfs://hdfs1:9000/test', 'TSV', 'column1 UInt32, column2 UInt32, column3 UInt32')
LIMIT 2
```
DOCAPI-8530: Code blocks markup fix (#7060) * Typo fix. * Links fix. * Fixed links in docs. * More fixes. * docs/en: cleaning some files * docs/en: cleaning data_types * docs/en: cleaning database_engines * docs/en: cleaning development * docs/en: cleaning getting_started * docs/en: cleaning interfaces * docs/en: cleaning operations * docs/en: cleaning query_lamguage * docs/en: cleaning en * docs/ru: cleaning data_types * docs/ru: cleaning index * docs/ru: cleaning database_engines * docs/ru: cleaning development * docs/ru: cleaning general * docs/ru: cleaning getting_started * docs/ru: cleaning interfaces * docs/ru: cleaning operations * docs/ru: cleaning query_language * docs: cleaning interfaces/http * Update docs/en/data_types/array.md decorated ``` Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/getting_started/example_datasets/nyc_taxi.md fixed typo Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/getting_started/example_datasets/ontime.md fixed typo Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/interfaces/formats.md fixed error Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/operations/table_engines/custom_partitioning_key.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/operations/utils/clickhouse-local.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/dicts/external_dicts_dict_sources.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/operations/utils/clickhouse-local.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/functions/json_functions.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/functions/json_functions.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/functions/other_functions.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/functions/other_functions.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/query_language/functions/date_time_functions.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * Update docs/en/operations/table_engines/jdbc.md Co-Authored-By: BayoNet <da-daos@yandex.ru> * docs: fixed error * docs: fixed error
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```text
┌─column1─┬─column2─┬─column3─┐
│ 1 │ 2 │ 3 │
│ 3 │ 2 │ 1 │
└─────────┴─────────┴─────────┘
```
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**Globs in path**
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Multiple path components can have globs. For being processed file should exists and matches to the whole path pattern (not only suffix or prefix).
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- `*` — Substitutes any number of any characters except `/` including empty string.
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- `?` — Substitutes any single character.
- `{some_string,another_string,yet_another_one}` — Substitutes any of strings `'some_string', 'another_string', 'yet_another_one'`.
- `{N..M}` — Substitutes any number in range from N to M including both borders.
Constructions with `{}` are similar to the [remote table function](../../query_language/table_functions/remote.md)).
**Example**
1. Suppose that we have several files with following URIs on HDFS:
- 'hdfs://hdfs1:9000/some_dir/some_file_1'
- 'hdfs://hdfs1:9000/some_dir/some_file_2'
- 'hdfs://hdfs1:9000/some_dir/some_file_3'
- 'hdfs://hdfs1:9000/another_dir/some_file_1'
- 'hdfs://hdfs1:9000/another_dir/some_file_2'
- 'hdfs://hdfs1:9000/another_dir/some_file_3'
2. Query the amount of rows in these files:
```sql
SELECT count(*)
FROM hdfs('hdfs://hdfs1:9000/{some,another}_dir/some_file_{1..3}', 'TSV', 'name String, value UInt32')
```
3. Query the amount of rows in all files of these two directories:
```sql
SELECT count(*)
FROM hdfs('hdfs://hdfs1:9000/{some,another}_dir/*', 'TSV', 'name String, value UInt32')
```
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!!! warning
If your listing of files contains number ranges with leading zeros, use the construction with braces for each digit separately or use `?`.
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**Example**
Query the data from files named `file000`, `file001`, ... , `file999`:
```sql
SELECT count(*)
FROM hdfs('hdfs://hdfs1:9000/big_dir/file{0..9}{0..9}{0..9}', 'CSV', 'name String, value UInt32')
```
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[Original article](https://clickhouse.yandex/docs/en/query_language/table_functions/hdfs/) <!--hide-->