issue_comments

Table actions

4 rows where issue = 763283616 and user = 9599 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: updated_at (date)

user 1

  • simonw · 4 ✖

issue 1

  • sqlite-utils analyze-tables command · 4 ✖

author_association 1

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 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 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.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 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.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 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) ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 sqlite-utils analyze-tables command 763283616  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);