[英]how can i create materialized view with psycopg2?
I'm getting an error on creating continuous aggregates with timescaledb which uses postgres materialized views:我在使用 postgres 物化视图的 timescaledb 创建连续聚合时遇到错误:
connection = psycopg2.connect(DATABASE_URI)
cursor = connection.cursor()
cursor.execute(
"""CREATE MATERIALIZED VIEW quotes_1h WITH
(timescaledb.continuous)
AS
SELECT ticker, time_bucket('1h', time) as hour,
min(close) as low,
max(close) as high,
first(close, time) as open,
last(close, time) as close
FROM quotes
GROUP BY
ticker, time_bucket('1h', time);""")
connection.commit()
the error: psycopg2.errors.ActiveSqlTransaction: CREATE MATERIALIZED VIEW... WITH DATA cannot run inside a transaction block错误:psycopg2.errors.ActiveSqlTransaction: CREATE MATERIALIZED VIEW... WITH DATA 不能在事务块内运行
I have set the auto-commit on but it didn't help我已经设置了自动提交,但它没有帮助
fixed it with:修复它:
from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
connection.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT)
Creating a continuous aggregate and materializing it in the same transaction is currently not supported in TimescaleDB. TimescaleDB 目前不支持在同一事务中创建连续聚合并将其具体化。 Thus there are two choices:
因此有两种选择:
WITH NO DATA
and refreshing separately or through a policy .WITH NO DATA
并单独或通过策略刷新来实现连续聚合。 The second case will be:第二种情况将是:
cursor.execute(
"""CREATE MATERIALIZED VIEW quotes_1h WITH
(timescaledb.continuous)
AS
SELECT ticker, time_bucket('1h', time) as hour,
min(close) as low,
max(close) as high,
first(close, time) as open,
last(close, time) as close
FROM quotes
GROUP BY
ticker, time_bucket('1h', time)
WITH NO DATA;""")
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.