Open sql2010 recovery-of-lost-or-corrupted-innodb-tablesArvids Godjuks
The document discusses recovery of lost or corrupted InnoDB tables in MySQL. It describes how MySQL stores data in InnoDB, including the system tables SYS_INDEXES and SYS_TABLES. It also discusses typical failure scenarios like deleted records, dropped tables, and corrupted tablespaces. The document introduces the InnoDB recovery tool which can be used to recover tables from corrupted InnoDB data files and table definitions.
SQLAlchemy is a Python SQL toolkit and ORM that allows you to work directly with SQL, map data to classes for object relational mapping, and version databases with alembic. The core provides a flexible tool to work with databases using SQL. The ORM allows mapping database tables to domain objects and working with those objects. It uses a unit of work pattern to track object changes and flush those changes to the database in a transaction. Alembic can be used to version control a database schema.
Open sql2010 recovery-of-lost-or-corrupted-innodb-tablesArvids Godjuks
The document discusses recovery of lost or corrupted InnoDB tables in MySQL. It describes how MySQL stores data in InnoDB, including the system tables SYS_INDEXES and SYS_TABLES. It also discusses typical failure scenarios like deleted records, dropped tables, and corrupted tablespaces. The document introduces the InnoDB recovery tool which can be used to recover tables from corrupted InnoDB data files and table definitions.
SQLAlchemy is a Python SQL toolkit and ORM that allows you to work directly with SQL, map data to classes for object relational mapping, and version databases with alembic. The core provides a flexible tool to work with databases using SQL. The ORM allows mapping database tables to domain objects and working with those objects. It uses a unit of work pattern to track object changes and flush those changes to the database in a transaction. Alembic can be used to version control a database schema.
14. ORMを使ったデータの取得
単純な条件指定でのデータ取得の例
@app.route('/feature')
def getRanking():
days = request.args.get("byday")
if days:
mu = session.query(Music).filter(Music.day.like('%'+ days +’%’))
.order_by(Music.tfidf.desc()).all()
15. ORMを使ったデータの取得
marshmallowによるデータのシリアライズ
from marshmallow import fields, Schema, Serializer
import json
!
##~諸々省略
@app.route('/feature')
def getRanking():
days = request.args.get("byday")
if days:
mu = session.query(Music).filter(Music.day.like('%'+ days +’%')).
order_by(Music.tfidf.desc()).all()
serialized = muserializer(mu, many=True).data
return json.dumps(serialized, ensure_ascii=False).encode('utf-8')
!
class muserializer(Serializer):
class Meta:
fields = ("song", "artist","count", "tfidf")