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我正在使用 df.to_csv("preprocessed_data.csv") 将包含 318477 行的 Pandas 数据帧中的数据保存到 csv 文件。当我将此文件加载到另一个笔记本中时:
df = pd.read_csv("preprocessed_data.csv")
len(df)
# out: 318477
行数符合预期。但是,当我尝试使用 PySpark 加载数据集时:
spark_df = spark.read.format("csv")
.option("header", "true")
.option("mode", "DROPMALFORMED")
.load("preprocessed_data.csv")
spark_df.count()
# out: 6422020
或
df_test = spark.sql("SELECT * FROM csv.`preprocessed_data.csv`")
df_test.count()
# out: 6422020
行数不正确。它读取的行数 6422020 是 csv 文件中的行数。由于有些行的内容跨越多行(即 https://imgur.com/a/qWd9jtq )
如何解决这个问题?我是否需要以某种方式保存 csv,并且在任何文本中都没有换行符,或者我可以更具体地指定 PySpark 中的 csv 读数吗?
这是我上一个问题的继续,我现在更了解这个问题 link
CSV 文件中的行:
120,teacher industrial design technology mabel park state high school,teach queensland,2018-10-07,brisbane,southern suburbs logan,education training,teaching secondary,mabel park state high school invites applications for a industrial design and technology teacher,,0,30,,0.0,0.03003003003003003
121,fabricatorinstaller,workplace access safety,2018-10-07,melbourne,bayside south eastern suburbs,trades services,welders boilermakers,trade qualified person with skills in welding and fabrication to assist in the manufacturing and installation of our custom height safety products,"<p> </p>
<p><strong><em>* Secure long term role with genuine career path to supervisor</em></strong></p>
<p><strong><em>* Competitive hourly rate with regular opportunity for overtime</em></strong></p>
<p><strong><em>* Full on-the-job training</em></strong></p>
<p><strong>About the role</strong></p>
<p>Having recently won a significant new national contract we are looking for another trade qualified person with welding and fabrication skills to help manage increased demands on our production and installation departments. This role will
see you involved in both manufacturing and on-site installation and there is a genuine career path to supervisor if that is your goal. Initially your role will require you to:-</p>
<ul>
<li>read and interpret drawings </li>
<li>fabricate and assemble orders as required</li>
<li>provide input to enhance factory processes</li>
<li>pack and dispatch orders</li>
<li>perform on-site installations (full training will be given)</li>
</ul>
<p><strong>About you</strong></p>
<p>This role is ideal for a trade qualified person (welder, boilermaker, fabricator etc) with good hands-on skills who will enjoy dividing their time between factory/manufacturing and on-site installations. Because installations
invariably take place on the roof, physical fitness is essential.</p>
<p><strong>What we offer</strong></p>
<ul>
<li>A secure, long-term role with a successful, well-established organisation</li>
<li>Full, ongoing on-the-job training</li>
<li>Opportunity for career progression to supervisor for the right person</li>
<li>Opportunity to work in a safe, supportive and friendly environment</li>
<li>Competitive hourly rate with regular opportunities for overtime</li>
<li>Occasional regional and interstate travel in response to major projects</li>
</ul>
<p><strong>How to apply</strong></p>
<p>Please copy and paste the URL below into your browser (it is <em>not</em> a live link so must be copied and pasted). This will take you to our custom online application form which includes a number of screening questions and a
profiling checklist which is an essential part of our application process.</p>
<p><strong>https://exenet.expr3ss.com/jobDetails?selectJob=296&</strong></p>
<p>If you have any difficulties or would like more information please email <a class=""_2L3qcJ0"" data-contact-match=""true"" href=""mailto:gayle@exhr.com.au"">gayle@exhr.com.au</a> or phone <a class=""_2hhDNI-"" data-contact-match=""true"" href=""tel:0468 336 224"">0468 336 224</a>.</p>",0,30,full time,0.0,0.03003003003003003
122,boilermaker,rpm contracting qld pl,2018-10-07,brisbane,southern suburbs logan,trades services,welders boilermakers,perm rate 30 structural steel fab weld out located southside full time hours ongoing work ot modern clean facility offering great conditions,"<p>One of Australia's best engineering workshops is hiring!</p>
<p>They have ongoing, rolling projects and need good people now.</p>
<p>They are partnered with state and federal governments, international minerals and energy companies, and other market leading entities.</p>
<p>The workshop is state of the art, clean, and well-managed. There is a genuine focus on the safety and wellbeing of their people.</p>
<p>The facility and conditions are truly exceptional.</p>
<p>Secure and long term positions are on offer for forward-thinking, cooperative and professional tradesmen.</p>
<p>We are looking for qualified and/or ticketed boilermakers and 1st class welders that can offer high level trade skills.</p>
<p>Equally important is a cooperative, team-orientated attitude and a willingness to become involved and take ownership of their important role in this company.</p>
<p>They are building on a stable, permanent team, so candidates who step up can look forward to a secure future.</p>
<p>The position is ongoing, offering full-time hours, exceptional conditions, and penalties.</p>
<p>You require own car and licence, PPE and tools, relevant experience and to be available for an immediate start.</p>
<p>Good luck and kind regards,</p>
<p>RPM</p>",0,30,full time,0.0,0.03003003003003003
最佳答案
根据提供的示例,我尝试使用以下代码,它返回了 3 行:
>>> df = spark.read.csv('file:///tmp/test.csv', sep=',', multiLine=True)
>>> df.count()
3
如果它仍然不适合你,我会尝试强制 pandas 使用引号和分隔符
关于python - PySpark 无法正确读取 CSV,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/56258744/
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