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  • simonw · 4 ✖

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  • sqlite-utils analyze-tables command · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
743966801 https://github.com/simonw/sqlite-utils/issues/207#issuecomment-743966801 https://api.github.com/repos/simonw/sqlite-utils/issues/207 MDEyOklzc3VlQ29tbWVudDc0Mzk2NjgwMQ== simonw 9599 2020-12-13T07:25:23Z 2020-12-13T07:25:23Z OWNER 
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 sqlite-utils analyze-tables command 763283616  
743701697 https://github.com/simonw/sqlite-utils/issues/207#issuecomment-743701697 https://api.github.com/repos/simonw/sqlite-utils/issues/207 MDEyOklzc3VlQ29tbWVudDc0MzcwMTY5Nw== simonw 9599 2020-12-12T04:39:51Z 2020-12-12T04:39:51Z OWNER

CLI could be:

sqlite-utils analyze-tables

To analyze all tables or:

sqlite-utils analyze-tables table1 table2

To analyze specific tables.

 
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 sqlite-utils analyze-tables command 763283616  
743701599 https://github.com/simonw/sqlite-utils/issues/207#issuecomment-743701599 https://api.github.com/repos/simonw/sqlite-utils/issues/207 MDEyOklzc3VlQ29tbWVudDc0MzcwMTU5OQ== simonw 9599 2020-12-12T04:38:52Z 2020-12-12T04:39:07Z OWNER

I'll add a table.analyze_column(column) method which is used by the CLI tool - with a note that this is an unstable interface which may change in the future.

 
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 sqlite-utils analyze-tables command 763283616  
743701422 https://github.com/simonw/sqlite-utils/issues/207#issuecomment-743701422 https://api.github.com/repos/simonw/sqlite-utils/issues/207 MDEyOklzc3VlQ29tbWVudDc0MzcwMTQyMg== simonw 9599 2020-12-12T04:37:14Z 2020-12-12T04:38:25Z OWNER

Prototype: ```python from collections import namedtuple

ColumnDetails = namedtuple("ColumnDetails", ("column", "num_null", "num_blank", "num_distinct", "most_common", "least_common"))

def analyze_column(db, table, column, values=10): num_null = db.execute("select count() from [{}] where [{}] is null".format(table, column)).fetchone()[0] num_blank = db.execute("select count() from [{}] where [{}] = ''".format(table, column)).fetchone()[0] num_distinct = db.execute("select count(distinct [{}]) from [{}]".format(column, table)).fetchone()[0] most_common = None least_common = None if num_distinct != 1: most_common = [(r[0], r[1]) for r in db.execute( "select [{}], count() from [{}] group by [{}] order by count() desc limit ".format(column, table, column, values) ).fetchall()] if num_distinct <= values: # No need to run the query if it will just return the results in revers order least_common = most_common[::-1] else: least_common = [(r[0], r[1]) for r in db.execute( "select [{}], count() from [{}] group by [{}] order by count() limit {}".format(column, table, column, values) ).fetchall()] return ColumnDetails(column, num_null, num_blank, num_distinct, most_common, least_common)

def analyze_table(db, table): for column in db[table].columns: details = analyze_column(db, table, column.name) print(details) ```

 
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 sqlite-utils analyze-tables command 763283616  

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