mirror of
https://github.com/Infinidat/infi.clickhouse_orm.git
synced 2024-11-25 02:03:46 +03:00
88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
from infi.clickhouse_orm import Database, F
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from charts import tables_piechart, columns_piechart, number_formatter, bytes_formatter
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from flask import Flask
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from flask import render_template
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import sys
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app = Flask(__name__)
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@app.route('/')
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def homepage_view():
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'''
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Root view that lists all databases.
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'''
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db = _get_db('system')
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# Get all databases in the system.databases table
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DatabasesTable = db.get_model_for_table('databases', system_table=True)
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databases = DatabasesTable.objects_in(db).exclude(name='system')
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databases = databases.order_by(F.lower(DatabasesTable.name))
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# Generate the page
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return render_template('homepage.html', db=db, databases=databases)
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@app.route('/<db_name>/')
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def database_view(db_name):
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'''
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A view that displays information about a single database.
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'''
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db = _get_db(db_name)
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# Get all the tables in the database, by aggregating information from system.columns
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ColumnsTable = db.get_model_for_table('columns', system_table=True)
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tables = ColumnsTable.objects_in(db).filter(database=db_name).aggregate(
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ColumnsTable.table,
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compressed_size=F.sum(ColumnsTable.data_compressed_bytes),
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uncompressed_size=F.sum(ColumnsTable.data_uncompressed_bytes),
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ratio=F.sum(ColumnsTable.data_uncompressed_bytes) / F.sum(ColumnsTable.data_compressed_bytes)
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)
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tables = tables.order_by(F.lower(ColumnsTable.table))
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# Generate the page
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return render_template('database.html',
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db=db,
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tables=tables,
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tables_piechart_by_rows=tables_piechart(db, 'total_rows', value_formatter=number_formatter),
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tables_piechart_by_size=tables_piechart(db, 'total_bytes', value_formatter=bytes_formatter),
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)
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@app.route('/<db_name>/<tbl_name>/')
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def table_view(db_name, tbl_name):
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'''
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A view that displays information about a single table.
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'''
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db = _get_db(db_name)
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# Get table information from system.tables
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TablesTable = db.get_model_for_table('tables', system_table=True)
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tbl_info = TablesTable.objects_in(db).filter(database=db_name, name=tbl_name)[0]
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# Get the SQL used for creating the table
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create_table_sql = db.raw('SHOW CREATE TABLE %s FORMAT TabSeparatedRaw' % tbl_name)
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# Get all columns in the table from system.columns
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ColumnsTable = db.get_model_for_table('columns', system_table=True)
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columns = ColumnsTable.objects_in(db).filter(database=db_name, table=tbl_name)
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# Generate the page
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return render_template('table.html',
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db=db,
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tbl_name=tbl_name,
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tbl_info=tbl_info,
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create_table_sql=create_table_sql,
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columns=columns,
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piechart=columns_piechart(db, tbl_name, 'data_compressed_bytes', value_formatter=bytes_formatter),
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)
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def _get_db(db_name):
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'''
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Returns a Database instance using connection information
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from the command line arguments (optional).
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'''
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db_url = sys.argv[1] if len(sys.argv) > 1 else 'http://localhost:8123/'
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username = sys.argv[2] if len(sys.argv) > 2 else None
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password = sys.argv[3] if len(sys.argv) > 3 else None
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return Database(db_name, db_url, username, password, readonly=True)
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if __name__ == '__main__':
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_get_db('system') # fail early on db connection problems
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app.run(debug=True)
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