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revert changes of clickhouse local to clickhouse-local

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hendrik-m 2023-08-03 18:43:18 +02:00
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18
docs/en/operations/utilities/clickhouse-local.md
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@ -37,24 +37,24 @@ A common use of `clickhouse-local` is to run ad-hoc queries on files: where you
If the file is sitting on the same machine as `clickhouse-local`, you can simple specify the file to load. The following `reviews.tsv` file contains a sampling of Amazon product reviews:
```bash
./clickhouse-local -q "SELECT * FROM 'reviews.tsv'"
./clickhouse local -q "SELECT * FROM 'reviews.tsv'"
```
This command is a shortcut of:
```bash
./clickhouse-local -q "SELECT * FROM file('reviews.tsv')"
./clickhouse local -q "SELECT * FROM file('reviews.tsv')"
```
ClickHouse knows the file uses a tab-separated format from filename extension. If you need to explicitly specify the format, simply add one of the [many ClickHouse input formats](../../interfaces/formats.md):
```bash
./clickhouse-local -q "SELECT * FROM file('reviews.tsv', 'TabSeparated')"
./clickhouse local -q "SELECT * FROM file('reviews.tsv', 'TabSeparated')"
```
The `file` table function creates a table, and you can use `DESCRIBE` to see the inferred schema:
```bash
./clickhouse-local -q "DESCRIBE file('reviews.tsv')"
./clickhouse local -q "DESCRIBE file('reviews.tsv')"
```
```response
@ -78,7 +78,7 @@ review_date Nullable(Date)
Let's find a product with the highest rating:
```bash
./clickhouse-local -q "SELECT
./clickhouse local -q "SELECT
argMax(product_title,star_rating),
max(star_rating)
FROM file('reviews.tsv')"
@ -93,7 +93,7 @@ Monopoly Junior Board Game 5
If you have a file in S3, use `clickhouse-local` and the `s3` table function to query the file in place (without inserting the data into a ClickHouse table). We have a file named `house_0.parquet` in a public bucket that contains home prices of property sold in the United Kingdom. Let's see how many rows it has:
```bash
./clickhouse-local -q "
./clickhouse local -q "
SELECT count()
FROM s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')"
```
@ -107,7 +107,7 @@ The file has 2.7M rows:
It's always useful to see what the inferred schema that ClickHouse determines from the file:
```bash
./clickhouse-local -q "DESCRIBE s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')"
./clickhouse local -q "DESCRIBE s3('https://datasets-documentation.s3.eu-west-3.amazonaws.com/house_parquet/house_0.parquet')"
```
```response
@ -130,7 +130,7 @@ county Nullable(String)
Let's see what the most expensive neighborhoods are:
```bash
./clickhouse-local -q "
./clickhouse local -q "
SELECT
town,
district,
@ -177,7 +177,7 @@ $ clickhouse-local --structure "table_structure" --input-format "format_of_incom
Basic usage (Mac):
``` bash
$ ./clickhouse-local --structure "table_structure" --input-format "format_of_incoming_data" --query "query"
$ ./clickhouse local --structure "table_structure" --input-format "format_of_incoming_data" --query "query"
```
:::note