Spaces:
Running
Running
Commit
•
e6091f8
1
Parent(s):
318fad3
add duplicate checker
Browse files
src/snippets/checking-duplicate-dataset.md
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
id: "duckdb-check-duplicate-rows"
|
3 |
+
title: "Check Duplicate Rows"
|
4 |
+
slug: "duckdb-check-duplicate-rows-query"
|
5 |
+
description: "Count the number of duplicate rows in a table using DuckDB."
|
6 |
+
code: |
|
7 |
+
-- Count duplicate rows in the 'train' table
|
8 |
+
SELECT COUNT(*) - COUNT(DISTINCT columns(*))
|
9 |
+
FROM train;
|
10 |
+
---
|
11 |
+
|
12 |
+
# DuckDB Check Duplicate Rows Query
|
13 |
+
|
14 |
+
This snippet demonstrates how to count the number of duplicate rows in a DuckDB table using a SQL query.
|
15 |
+
|
16 |
+
```sql
|
17 |
+
-- Count duplicate rows in the 'train' table
|
18 |
+
SELECT COUNT(*) - COUNT(DISTINCT columns(*))
|
19 |
+
FROM train;
|
20 |
+
```
|
21 |
+
|
22 |
+
This query works by:
|
23 |
+
1. Counting all rows using `COUNT(*)`
|
24 |
+
2. Subtracting the count of distinct rows using `COUNT(DISTINCT *)`
|
25 |
+
3. The result is the number of duplicate rows
|
26 |
+
|
27 |
+
You can replace 'train' with the name of your specific table to check for duplicates in other tables.
|
28 |
+
|
29 |
+
Note: This query can be computationally expensive for large tables, as it needs to check all columns for uniqueness.
|
src/snippets/unnest.md
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
id: "duckdb-table-info"
|
3 |
+
title: "Table Info"
|
4 |
+
slug: "duckdb-table-info-query"
|
5 |
+
description: "Get detailed information about a table's structure"
|
6 |
+
code: |
|
7 |
+
with nested as
|
8 |
+
(
|
9 |
+
select unnest(reasoning_chains) as reasoning_chains
|
10 |
+
from train limit 100
|
11 |
+
)
|
12 |
+
|
13 |
+
select reasoning_chains.* from nested;
|
14 |
+
---
|
15 |
+
|
16 |
+
# DuckDB Table Info Query
|
17 |
+
|
18 |
+
This snippet demonstrates how to use the `PRAGMA table_info` function in DuckDB to get detailedinformation about a specific table's structure.
|
19 |
+
|
20 |
+
Try out this query [here](https://huggingface.co/datasets/NousResearch/hermes-function-calling-v1?sql_console=true&sql=pragma+table_info%28%27func_calling_singleturn%27%29)
|
21 |
+
|
22 |
+
```sql
|
23 |
+
-- Returns detailed information about a table's structure
|
24 |
+
-- Use this to get the column names, types, and other details
|
25 |
+
PRAGMA table_info('table_name');
|
26 |
+
```
|
27 |
+
|
28 |
+
# Example Output
|
29 |
+
|
30 |
+
| cid | name | type | notnull | dflt_value | pk |
|
31 |
+
|-----|---------------|------------------------------------------|---------|------------|-------|
|
32 |
+
| 0 | id | VARCHAR | false | null | false |
|
33 |
+
| 1 | conversations | STRUCT("from" VARCHAR, "value" VARCHAR)[] | false | null | false |
|
34 |
+
| 2 | category | VARCHAR | false | null | false |
|
35 |
+
| 3 | subcategory | VARCHAR | false | null | false |
|
36 |
+
| 4 | task | VARCHAR | false | null | false |
|
37 |
+
|
38 |
+
You can read more about this [here](https://duckdb.org/docs/sql/query_syntax/unnest.html).
|
39 |
+
|
40 |
+
# Example Usage
|
41 |
+
|
42 |
+
<iframe
|
43 |
+
src="https://huggingface.co/datasets/SkunkworksAI/reasoning-0.01/embed/viewer/default/train?sql_console=true&sql=with+nested+as+%0A++%28%0A++select+unnest%28reasoning_chains%29+as+reasoning_chains%0A++from+train+limit+100%0A%29%0A%0Aselect+reasoning_chains.*+from+nested%3B"
|
44 |
+
frameborder="0"
|
45 |
+
width="100%"
|
46 |
+
height="560px"
|
47 |
+
></iframe>
|