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81 lines
2.4 KiB
Markdown
81 lines
2.4 KiB
Markdown
---
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sidebar_position: 55
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sidebar_label: SQLite
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---
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# SQLite
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Allows to connect to [SQLite](https://www.sqlite.org/index.html) database and perform `INSERT` and `SELECT` queries to exchange data between ClickHouse and SQLite.
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## Creating a Database {#creating-a-database}
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``` sql
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CREATE DATABASE sqlite_database
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ENGINE = SQLite('db_path')
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```
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**Engine Parameters**
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- `db_path` — Path to a file with SQLite database.
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## Data Types Support {#data_types-support}
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| SQLite | ClickHouse |
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|---------------|---------------------------------------------------------|
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| INTEGER | [Int32](../../sql-reference/data-types/int-uint.md) |
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| REAL | [Float32](../../sql-reference/data-types/float.md) |
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| TEXT | [String](../../sql-reference/data-types/string.md) |
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| BLOB | [String](../../sql-reference/data-types/string.md) |
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## Specifics and Recommendations {#specifics-and-recommendations}
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SQLite stores the entire database (definitions, tables, indices, and the data itself) as a single cross-platform file on a host machine. During writing SQLite locks the entire database file, therefore write operations are performed sequentially. Read operations can be multitasked.
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SQLite does not require service management (such as startup scripts) or access control based on `GRANT` and passwords. Access control is handled by means of file-system permissions given to the database file itself.
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## Usage Example {#usage-example}
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Database in ClickHouse, connected to the SQLite:
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``` sql
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CREATE DATABASE sqlite_db ENGINE = SQLite('sqlite.db');
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SHOW TABLES FROM sqlite_db;
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```
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``` text
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┌──name───┐
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│ table1 │
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│ table2 │
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└─────────┘
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```
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Shows the tables:
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``` sql
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SELECT * FROM sqlite_db.table1;
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```
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``` text
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┌─col1──┬─col2─┐
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│ line1 │ 1 │
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│ line2 │ 2 │
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│ line3 │ 3 │
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└───────┴──────┘
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```
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Inserting data into SQLite table from ClickHouse table:
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``` sql
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CREATE TABLE clickhouse_table(`col1` String,`col2` Int16) ENGINE = MergeTree() ORDER BY col2;
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INSERT INTO clickhouse_table VALUES ('text',10);
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INSERT INTO sqlite_db.table1 SELECT * FROM clickhouse_table;
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SELECT * FROM sqlite_db.table1;
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```
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``` text
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┌─col1──┬─col2─┐
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│ line1 │ 1 │
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│ line2 │ 2 │
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│ line3 │ 3 │
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│ text │ 10 │
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└───────┴──────┘
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```
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