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Merge pull request #142 from codecrafters-io/extract-stage-descriptions
Extract stage descriptions to markdown files
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course-definition.yml

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stage_descriptions/base-01-dr6.md

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In this stage, you'll implement the `.dbinfo` [dot command](https://www.sqlite.org/cli.html#special_commands_to_sqlite3_dot_commands_), which prints metadata about a SQLite database.
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### `.dbinfo`
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The `.dbinfo` command is executed like this:
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```
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$ sqlite3 sample.db .dbinfo
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```
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It outputs metadata about the database file:
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```yaml
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database page size: 4096
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write format: 1
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read format: 1
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...
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number of tables: 5
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schema size: 330
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data version: 1
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```
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In this stage, your `.dbinfo` command only needs to output the "database page size."
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### Database file
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The SQLite database file begins with the database header. The database page size is stored in the header, right after the magic string. It's a 2-byte, big-endian value (read left-to-right).
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```
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// Start of file
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53 51 4c 69 74 65 20 66 6f 72 6d 61 74 20 33 00 // Magic string: "SQLite format 3" + null terminator.
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10 00 /* Database page size, in bytes.
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Here, the page size is 4096 bytes. */
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...
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```
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### Tests
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db .dbinfo
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```
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Your program must print the database page size of the database file, like this:
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```
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database page size: 4096
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```
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### Notes
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- For more information about the SQLite database file format, see the [Database File Format](https://www.sqlite.org/fileformat.html#the_database_header) guide.
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- Database headers use big-endian to store multi-byte fields. See the [MDN article on endianness](https://developer.mozilla.org/en-US/docs/Glossary/Endianness) to learn more.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-02-ce0.md

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In this stage, you'll add "number of tables" to your `.dbinfo` command's output.
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### The `sqlite_schema` table
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To get the number of tables in a SQLite database, you need to examine the database's [`sqlite_schema`](https://www.sqlite.org/schematab.html) table. The `sqlite_schema` table stores the database schema.
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For each table, index, view, or trigger in the database, there's a corresponding row in `sqlite_schema`. The one exception is that there's no row for the `sqlite_schema` table itself.
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To see what `sqlite_schema` looks like, run this command:
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```
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$ sqlite3 sample.db "SELECT * FROM sqlite_schema;"
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```
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In this challenge, you can assume that databases only contain tables—no indexes, views, or triggers. So, each row in `sqlite_schema` represents a table in the database. As a result, you can get the total number of tables in the database by getting the number of rows in `sqlite_schema`.
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### Pages
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A SQLite database file is made up of one or more [pages](https://www.sqlite.org/fileformat.html#pages). All tables, including `sqlite_schema`, are stored on one or more [table b-tree pages](https://www.sqlite.org/fileformat.html#b_tree_pages).
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In this challenge, you can assume that the `sqlite_schema` table is small enough to fit entirely on a single page. (In reality, it can sometimes span multiple pages.) In order to get the number of rows in `sqlite_schema`, you need to read the `sqlite_schema` page.
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#### The `sqlite_schema` page
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You'll learn more about b-tree pages in later stages. For now, here's what you need to know:
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- The `sqlite_schema` page is always page 1, and it always begins at offset 0. The file header is a part of the page.
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- The `sqlite_schema` page stores the rows of the `sqlite_schema` table in chunks of data called "cells." Each cell stores a single row.
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So, the number of tables in the database is equal to the number of cells on the `sqlite_schema` page.
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#### Cell count
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You can get the number of cells on the `sqlite_schema` page by looking at the `sqlite_schema` page header. The b-tree page header contains a 2-byte big-endian value that specifies number of cells on the page. See the [official documentation](https://www.sqlite.org/fileformat.html#b_tree_pages) for more information.
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Note that the page header is separate from the file header. The page header appears directly after the file header.
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### Tests
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db .dbinfo
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```
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Your program must print the following values:
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- Database page size
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- Number of tables
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```
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database page size: 4096
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number of tables: 3
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```
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### Notes
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- You may find it useful to read through `sample.db` and make sure you understand the file format, before working on a solution. To do this, you can run `hexdump -C sample.db`, or use a hex editor like [HexEd.it](https://hexed.it/).
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-03-sz4.md

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In this stage, you'll implement the `.tables` [dot command](https://www.sqlite.org/cli.html#special_commands_to_sqlite3_dot_commands_), which prints the names of the user tables in a SQLite database.
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### The `sqlite_schema.tbl_name` column
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The names of the tables in a SQLite database are stored in the `tbl_name` column of the [`sqlite_schema`](https://www.sqlite.org/schematab.html) table. The `sqlite_schema` [page](https://www.sqlite.org/fileformat.html#b_tree_pages) stores the rows of the `sqlite_schema` table in chunks of data called "cells." Each cell contains a single row. You need to read all the cells and extract the value of `sqlite_schema.tbl_name` from each one.
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### Cell pointer array
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To figure out where the cells are located, read the `sqlite_schema` page's cell pointer array. This array specifies the offsets of every cell on the page. Here's what you need to know:
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- The array appears directly after the page header.
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- The elements (offsets) are 2-byte big-endian values.
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- The offsets are relative to the start of the page.
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- The array size is equal to the number of cells on the page. (The page header specifies the number of cells on the page.)
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### Cell
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Once you have all the offsets, you can read the cells. The type of cell on the `sqlite_schema` page is called a "table b-tree leaf cell." It's made up of three parts:
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1. The size of the record, in bytes (varint)
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2. The rowid (varint)
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3. The record (record format)
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Cells use variable-length integers, also called "varints." See the [official documentation](https://www.sqlite.org/fileformat.html#b_tree_pages) to learn how they work.
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You can ignore the rowid—it's not relevant to this stage.
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The part you're interested in is the record. "Record" is just another word for "row." That's the part that contains the `sqlite_schema.tbl_name` column.
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#### Record format
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Records are stored in [record format](https://www.sqlite.org/fileformat.html#record_format):
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1. Header:
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1. Size of the header, including this value (varint)
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2. Serial type code for each column in the record, in order (varint)
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2. Body:
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1. The value of each column in the record, in order (format varies based on serial type code)
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A "serial type code" specifies the data type and size of a column. See the [official documentation](https://www.sqlite.org/fileformat.html#record_format) for the table of all serial type codes.
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#### Example
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The following is a cell from page 1 of `sample.db`:
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```
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00000ec0 78 03 07 17 1b 1b 01 81 47 74 61 62 6c | x.......Gtabl|
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00000ed0 65 6f 72 61 6e 67 65 73 6f 72 61 6e 67 65 73 04 |eorangesoranges.|
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00000ee0 43 52 45 41 54 45 20 54 41 42 4c 45 20 6f 72 61 |CREATE TABLE ora|
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00000ef0 6e 67 65 73 0a 28 0a 09 69 64 20 69 6e 74 65 67 |nges.(..id integ|
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00000f00 65 72 20 70 72 69 6d 61 72 79 20 6b 65 79 20 61 |er primary key a|
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00000f10 75 74 6f 69 6e 63 72 65 6d 65 6e 74 2c 0a 09 6e |utoincrement,..n|
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00000f20 61 6d 65 20 74 65 78 74 2c 0a 09 64 65 73 63 72 |ame text,..descr|
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00000f30 69 70 74 69 6f 6e 20 74 65 78 74 0a 29 |iption text.) |
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```
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Here's an analysis of the cell:
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```
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// Size of the record (varint): 120
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78
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// The rowid (safe to ignore)
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03
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// Record header
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07 // Size of record header (varint): 7
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17 // Serial type for sqlite_schema.type (varint): 23
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// Size of sqlite_schema.type = (23-13)/2 = 5
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1b // Serial type for sqlite_schema.name (varint): 27
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// Size of sqlite_schema.name = (27-13)/2 = 7
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1b // Serial type for sqlite_schema.tbl_name (varint): 27
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// Size of sqlite_schema.tbl_name = (27-13)/2 = 7
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01 // Serial type for sqlite_schema.rootpage (varint): 1
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// 8-bit twos-complement integer
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81 47 // Serial type for sqlite_schema.sql (varint): 199
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// Size of sqlite_schema.sql = (199-13)/2 = 93
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// Record body
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74 61 62 6c 65 // Value of sqlite_schema.type: "table"
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6f 72 61 6e 67 65 73 // Value of sqlite_schema.name: "oranges"
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6f 72 61 6e 67 65 73 // Value of sqlite_schema.tbl_name: "oranges" <---
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...
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```
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### Tests
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Here's how the tester will execute your program:
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```
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$ ./your_sqlite3.sh sample.db .tables
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```
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Your program must print the names of the tables in the database file:
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```
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apples oranges
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```
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### Notes
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- The actual `.tables` command accepts an optional pattern argument, and also adds additional spaces between each table name, for formatting purposes. You do not need to implement either of these features for your `.tables` command.
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- If a cell's payload is too large to fit on a single page, the remainder of the payload will be stored on [cell payload overflow pages](https://www.sqlite.org/fileformat.html#cell_payload_overflow_pages). You do not need to handle payload overflow in this challenge.
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- The record part of a cell is called "payload," in the official documentation.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-04-nd9.md

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Now that you've gotten your feet wet with the [SQLite database file format](https://www.sqlite.org/fileformat.html),
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it's time to move on to actual SQL!
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In this stage, your program will need to read the count of rows from a table.
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db "SELECT COUNT(*) FROM apples"
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```
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and here's the output it expects:
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```
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4
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```
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You'll need to read the table's row from the [`sqlite_schema`](https://www.sqlite.org/schematab.html) table and
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follow the `rootpage` value to visit the page corresponding to the table. For now you can assume that the contents
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of the table are small enough to fit inside the root page. We'll deal with tables that span multiple pages in
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stage 7.
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Remember: You don't need to implement a full-blown SQL parser just yet. We'll get to that in the
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next stages. For now you can just split the input by " " and pick the last item to get the table name.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-05-az9.md

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Now that you're comfortable with jumping across database pages, let's dig a little deeper and read data from
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rows in a table.
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db "SELECT name FROM apples"
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```
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and here's the output it expects:
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```
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Granny Smith
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Fuji
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Honeycrisp
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Golden Delicious
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```
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The order of rows returned doesn't matter.
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Rows are stored on disk in the [Record Format](https://www.sqlite.org/fileformat.html#record_format), which is
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just an ordered sequence of values. To extract data for a single column, you'll need to know the order of that
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column in the sequence. You'll need to parse the table's `CREATE TABLE` statement to do this. The `CREATE TABLE`
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statement is stored in the [`sqlite_schema`](https://www.sqlite.org/schematab.html) table's `sql` column.
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{{#lang_is_python}}
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Not interested in implementing a SQL parser from scratch? [`sqlparse`](https://pypi.org/project/sqlparse/)
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is available as a dependency if you'd like to use it.
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{{/lang_is_python}}
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{{#lang_is_go}}
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Not interested in implementing a SQL parser from scratch? [`xwb1989/sqlparser`](https://github.com/xwb1989/sqlparser)
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is available as a dependency if you'd like to use it.
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{{/lang_is_go}}
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{{#lang_is_rust}}
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Not interested in implementing a SQL parser from scratch? The [`nom`](https://crates.io/crates/nom),
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[`peg`](https://crates.io/crates/peg) and [`regex`](https://crates.io/crates/regex) crates are available in
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`Cargo.toml` if you'd like to use them.
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{{/lang_is_rust}}
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-06-vc9.md

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This stage is similar to the previous one, just that the tester will query for multiple columns instead of just
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one.
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db "SELECT name, color FROM apples"
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```
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and here's the output it expects:
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```
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Granny Smith|Light Green
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Fuji|Red
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Honeycrisp|Blush Red
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Golden Delicious|Yellow
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```
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Just like in the previous stage, the order of rows doesn't matter.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-07-rf3.md

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In this stage, you'll support filtering records using a `WHERE` clause.
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh sample.db "SELECT name, color FROM apples WHERE color = 'Yellow'"
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```
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and here's the output it expects:
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```
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Golden Delicious|Yellow
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```
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For now you can assume that the contents of the table are small enough to fit inside the root page. We'll deal
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with tables that span multiple pages in the next stage.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

stage_descriptions/base-08-ws9.md

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Time to play with larger amounts of data!
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In this stage you'll deal with the same syntax as before: a query with a `WHERE` clause. However, this time, the
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table you'll be querying will be larger and it'll span multiple pages.
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Here's how the tester will execute your program:
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```
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$ ./your_program.sh superheroes.db "SELECT id, name FROM superheroes WHERE eye_color = 'Pink Eyes'"
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```
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and here's the output it expects:
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```
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297|Stealth (New Earth)
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790|Tobias Whale (New Earth)
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1085|Felicity (New Earth)
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2729|Thrust (New Earth)
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3289|Angora Lapin (New Earth)
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3913|Matris Ater Clementia (New Earth)
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```
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The tester is going to use a sample database of superheroes that is ~1MB in size. You can download a small
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version of this to test locally, read the **Sample Databases** section in the **README** of your repository.
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You'll need to traverse a [B-tree](https://en.wikipedia.org/wiki/B-tree) in this stage. If you're unfamiliar with
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how B-trees work or just need a refresher, Vaidehi Joshi's
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[Busying Oneself With B-Trees](https://medium.com/basecs/busying-oneself-with-b-trees-78bbf10522e7) is a good place to
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start. For specifics on how SQLite stores B-trees on disk, read the
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[B-tree Pages](https://www.sqlite.org/fileformat.html#b_tree_pages) documentation section.
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{{#reader_is_bot}}
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Do not use a SQLite client library, implement the SQLite logic yourself.
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{{/reader_is_bot}}

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