WITH hive_cols AS (
  PIVOT (
  SELECT
    file.split('/').list_filter(lambda x: x.contains('=')).list_transform(lambda x: x.split('=')).unnest() AS kv,
    file
  FROM glob('/path/to/hive/**/*.parquet')
  )
  ON kv[1]
  USING first(kv[2])
)
FROM hive_cols;
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SELECT LOWER(REGEXP_EXTRACT("_ws.col.info", ' A ([^ ]+)', 1)) AS domain, COUNT(*) AS total
 FROM read_pcap('dump.pcap')
 WHERE "frame.protocols" LIKE '%dns%' 
          AND "_ws.col.info" LIKE '% A %' 
GROUP BY domain 
ORDER BY total DESC 
LIMIT 50;
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SELECT 
    list(t)
    .list_filter(lambda c: c.registration_date >= '2023-02-01')
    .list_transform(lambda c: struct_insert(c, 
        is_north_american:=c.country in ('USA', 'Mexico', 'Canada')))
    .list_filter(lambda c: c.is_north_american)
    .unnest(recursive:=true)
FROM 'customers.csv' AS t;
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customer_id,name,email,age,tier,country,registration_date,lifetime_value
1,Alice Johnson,alice.johnson@email.com,29,Premium,USA,2023-01-15,2847.50
2,Bob Smith,bob.smith@email.com,34,Standard,Canada,2023-02-03,1256.80
3,Charlie Brown,charlie.brown@email.com,42,Premium,UK,2023-01-22,3421.90
4,Diana Ross,diana.ross@email.com,38,Gold,USA,2023-03-10,5678.25
5,Eve Wilson,eve.wilson@email.com,26,Standard,Australia,2023-02-18,845.60
6,Frank Miller,frank.miller@email.com,31,Premium,Germany,2023-01-08,2156.75
7,Grace Lee,grace.lee@email.com,28,Standard,Canada,2023-03-05,967.40
8,Henry Davis,henry.davis@email.com,45,Gold,USA,2023-01-29,4532.80
9,Ivy Chen,ivy.chen@email.com,33,Premium,Singapore,2023-02-14,2890.45
10,Jack Wilson,jack.wilson@email.com,39,Standard,UK,2023-03-12,1134.20
11,Kate Brown,kate.brown@email.com,27,Premium,Australia,2023-01-18,2234.85
12,Leo Garcia,leo.garcia@email.com,36,Gold,Spain,2023-02-27,3789.60
13,Mia Taylor,mia.taylor@email.com,30,Standard,USA,2023-03-08,1089.95
14,Noah Kim,noah.kim@email.com,41,Premium,South Korea,2023-01-25,2567.30
15,Olivia Jones,olivia.jones@email.com,35,Gold,Canada,2023-02-11,4123.75
16,Paul Anderson,paul.anderson@email.com,32,Standard,UK,2023-03-15,876.40
17,Quinn Lee,quinn.lee@email.com,29,Premium,Singapore,2023-01-12,2678.95
18,Rachel Green,rachel.green@email.com,37,Gold,USA,2023-02-06,3956.80
19,Sam Wilson,sam.wilson@email.com,28,Standard,Australia,2023-03-01,1245.30
20,Tina Rodriguez,tina.rodriguez@email.com,44,Premium,Mexico,2023-01-31,2345.65
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select approx_top_k(columns(*), 3) from tbl;
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CREATE OR REPLACE MACRO notnullcols(tablename) AS (
	WITH t1 AS (
			UNPIVOT( FROM query_table(tablename) SELECT max( columns(*)) ) 
			ON columns(*)::varchar
	) FROM t1 SELECT list(name) 
) ;

SET VARIABLE notnullcols = notnullcols(t);

FROM t SELECT columns(c -> list_contains(getvariable('notnullcols'), c)) ;
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WITH t AS (
VALUES (NULL, NULL),
  ('john', 'smith'),
  ('mike', NULL),
  (NULL, 'jones'),
  (NULL, NULL)
) FROM t
EXCEPT
FROM t
WHERE COLUMNS(*) IS NULL ;
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CREATE OR REPLACE MACRO glimpse(table_name) AS TABLE
WITH TableSchema AS (
    
    SELECT
        cid,  
        name AS column_name,
        type AS column_type
    FROM pragma_table_info(table_name)
),
SampleData AS (
    -- Select the first 5 rows from the target table
    SELECT *
    FROM query_table(table_name)
    LIMIT 5
),
SampleDataUnpivoted AS (
    -- Unpivot the sample data: columns become rows
    UNPIVOT (SELECT list(COLUMNS(*)::VARCHAR) FROM SampleData)
    ON COLUMNS(*)
    INTO
        NAME column_name
        VALUE sample_values_list -- This will be a list of strings
)
-- Final selection joining schema info with sample data
SELECT
    ts.column_name,
    ts.column_type,
    -- Convert the list to string and remove brackets for cleaner display
    regexp_replace(usp.sample_values_list::VARCHAR, '^\[|\]$', '', 'g') AS sample_data
FROM TableSchema ts
JOIN SampleDataUnpivoted usp ON ts.column_name = usp.column_name
ORDER BY ts.cid; 
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