我有一个很大的 pyspark Dataframe，我想将它保存在myfile(.tsv) 中以供进一步使用。为此，我定义了以下代码：
with open(myfile, "a") as csv_file:
writer = csv.writer(csv_file, delimiter='\t')
writer.writerow(["vertex" + "\t" + "id_source" + "\t" + "id_target" + "\t"+ "similarity"])
for part_id in range(joinDesrdd_df.rdd.getNumPartitions()):
part_rdd = joinDesrdd_df.rdd.mapPartitionsWithIndex(make_part_filter(part_id), True)
data_from_part_rdd = part_rdd.collect()
vertex_list = set()
for row in data_from_part_rdd:
writer.writerow([....])
csv_file.flush()
我的代码无法通过这一步，它会生成一个异常：
1.
in the workers log:
19/07/22 08:58:57 INFO Worker: Executor app-20190722085320-0000/2 finished with state KILLED exitStatus 143
14: 19/07/22 08:58:57 INFO ExternalShuffleBlockResolver: Application app-20190722085320-0000 removed, cleanupLocalDirs = true
14: 19/07/22 08:58:57 INFO …我想在pyspark应用程序中使用预训练嵌入模型(fasttext).
因此,如果我广播文件(.bin),则抛出以下异常:Traceback(最近一次调用last):
cPickle.PicklingError: Could not serialize broadcast: OverflowError: cannot serialize a string larger than 2 GiB
相反,我试图用sc.addFile(modelpath)其中modelpath=path/to/model.bin如下:
我创建了一个名为fasttextSpark.py的文件
import gensim
from gensim.models.fasttext import FastText as FT_gensim
# Load model (loads when this library is being imported)
model = FT_gensim.load_fasttext_format("/project/6008168/bib/wiki.en.bin")
# This is the function we use in UDF to predict the language of a given msg
def get_vector(msg):
pred = model[msg]
return pred
和testSubmit.sh:
#!/bin/bash
#SBATCH -N 2
#SBATCH -t 00:10:00
#SBATCH --mem 20000
#SBATCH --ntasks-per-node …我有一个 PySpark 数据框，由三列 x、y、z 组成。
X 在此数据框中可能有多行。如何分别计算 x 中每个键的百分位数？
+------+---------+------+
| Name| Role|Salary|
+------+---------+------+
| bob|Developer|125000|
| mark|Developer|108000|
| carl| Tester| 70000|
| carl|Developer|185000|
| carl| Tester| 65000|
| roman| Tester| 82000|
| simon|Developer| 98000|
| eric|Developer|144000|
|carlos| Tester| 75000|
| henry|Developer|110000|
+------+---------+------+
需要的输出：
+------+---------+------+----------
| Name| Role|Salary| 50%|
+------+---------+------+----------
| bob|Developer|125000|117500.0 |
| mark|Developer|108000|117500.0 |
| carl| Tester| 70000|72500.0 |
| carl|Developer|185000|117500.0 |
| carl| Tester| 65000|72500.0 |
| roman| Tester| 82000|72500.0 |
| simon|Developer| 98000|117500.0 |
| eric|Developer|144000|117500.0 …我有以下文件：
id review
1 "Human machine interface for lab abc computer applications."
2 "A survey of user opinion of computer system response time."
3 "The EPS user interface management system."
4 "System and human system engineering testing of EPS."
5 "Relation of user perceived response time to error measurement."
6 "The generation of random binary unordered trees."
7 "The intersection graph of paths in trees."
8 "Graph minors IV Widths of trees and well quasi ordering."
9 "Graph minors A …我想在群集上运行脚本（SBATCH文件）。如何激活我的虚拟环境（路径/到/ env_name / bin /激活）。我是否只需要添加：
module load python/2.7.14
source "/pathto/Python_directory/ENV2.7_new/bin/activate"
在my_script.sh文件中？
SELECT ?class (count(distinct ?subClass) AS ?noci)
WHERE { ?class jooo:hasJSubClass ?subClass}
GROUP BY?class
我有正确的答案，但格式如下："2"^^<http//www.w3.org/2001/XMLSchema#integer>. 我需要的答案只有 2，那我该怎么办？
public class Pair<F,S> implements Comparable<Pair<F,S>> {
public F first;
public S second;
public F first() {
return first;
}
public void setFirst(F first) {
this.first=first;
}
public S second() {
return second;
}
public void setSecond(S second) {
this.second=second;
}
public Pair(F first, S second) {
super();
this.first=first;
this.second=second;
}
public int hashCode() {
return(first.hashCode()^second.hashCode());
}
@Override
public boolean equals(Object obj) {
return obj instanceof Pair && ((Pair)obj).first.equals(first) && (Pair)obj).second.equals(second);
}
public String toString() {
return first + " / …我想从DBPedia中提取5个电影（或电影）个人的图形。
我的查询是：
ParameterizedSparqlString qs = new ParameterizedSparqlString（“ +
” construct {？s？p？o}“ +” where {？http://dbpedia.org/ontology/Film。"+“？s？p？o”}偏移量0 LIMIT 5“）;
我得到以下结果：
1- http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://dbpedia.org/ontology/Film。
2- http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/2002/ 07 / owl＃Thing。
3- http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.wikidata.org/entity/ Q386724。
4- http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://dbpedia.org/ontology/Wikidata： Q11424。
5- http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://dbpedia.org/ontology/Work。
问题：相同的影片是所有类别的5次返回：Film，Thing，Q386724，WIKIdata：Q11424和Work是等效类别（或存在Subclass关系）。
我的问题：
我想一次返回
<http://dbpedia.org/resource/1001_Inventions_and_the_World_of_Ibn_Al-Haytham>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>
<http://dbpedia.org/ontology/Film> .
并滤除其他4个三元组
怎么办？
先感谢您