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How can I stop a Postgres script when it encounters an error?
Is there a way to specify that when executing a sql script it stops when encountering the first error on the script, it usually continues, regardless of previous errors.
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Search for all occurrences of a string in a mysql database [duplicate]
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A simple solution would be doing something like this:
mysqldump -u myuser --no-create-info --extended-insert=FALSE databasename | grep -i "<search string>"
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How to log PostgreSQL queries?
How to enable logging of all SQL executed by PostgreSQL 8.3?
10 Answers
10
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App Inventor 2开发计步器与定位器 - App Inventor 2 中文网 - 清泛IT论坛，有思想、有深度
...为，具体设置的目标为：
1、程序初始化：
初始化变量包括“计时”、“计步”、“距离”、“保存列表”等，其中的“保存列表”用来存储历史数据信息。
同时检测微数据库中是否有历史数据，如果有历史数据，则提取并...
Most efficient conversion of ResultSet to JSON?
... with the reading. I think Oracle cursor are server side by default. For MySQL > 5.0.2 look for useCursorFetch at connection url paramenter. Check about your favourite DBMS.
1: So to use less memory we must:
use server side cursor behind the scene
use resultset open as read only and, of course...
数据挖掘——分词入门 - 大数据 & AI - 清泛网 - 专注C/C++及内核技术
...是用户名称、游戏图标等。人大脑可以存储大量的信息，包括文字、声音、视频、图片等，每一个都可以转换数据存储在电脑。人的大脑可以根据输入自动进行判断，电脑可以通过输入判断吗？答案是肯定的! 不过需要我们编写...
What is a 'multi-part identifier' and why can't it be bound?
...g all of the required columns in the target table.
Something like redgate sql prompt is brilliant for avoiding having to manually type these (it even auto-completes joins based on foreign keys), but isn't free. SQL server 2008 supports intellisense out of the box, although it isn't quite as comple...
Is there a way to auto-adjust Excel column widths with pandas.ExcelWriter?
...he headers instead. Hope this helps someone :)
import pandas as pd
import sqlalchemy as sa
import urllib
read_server = 'serverName'
read_database = 'databaseName'
read_params = urllib.quote_plus("DRIVER={SQL Server};SERVER="+read_server+";DATABASE="+read_database+";TRUSTED_CONNECTION=Yes")
read_...
Filter by property
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Nope. Django filters operate at the database level, generating SQL. To filter based on Python properties, you have to load the object into Python to evaluate the property--and at that point, you've already done all the work to load it.
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What is the difference between map and flatMap and a good use case for each?
...ocessing the data.
Below is the sample data file.
hadoop is fast
hive is sql on hdfs
spark is superfast
spark is awesome
The above file will be parsed using map and flatMap.
Using map
>>> wc = data.map(lambda line:line.split(" "));
>>> wc.collect()
[u'hadoop is fast', u'hive ...