[人工智能]微博数据挖掘脚本流程

一、加载数据到源表

```shell
#! /bin/bash

txt_file_path_local=../data/text_data/weiboplus.txt
txt_dir_path_hdfs=/tmp/ws/data/

db_name=wangshuai
output_table=weiboplus_origin
file_path=`echo $txt_file_path_local | awk -F '/' '{print $NF}'`
hdfs dfs -put -f $txt_file_path_local $txt_dir_path_hdfs
hive -e"

?? ?use $db_name;
load data inpath '$txt_dir_path_hdfs$file_path' overwrite into table weiboplus_origin;
"

```

二、处理json插入product表

```shell
#! /bin/bash

db_name=wangshuai
input_table=weiboplus_origin
output_table=weiboplus_product

hive -e"
?? ?use $db_name;
insert overwrite table $output_table?
select get_json_object(json,'$[0].content') as content from $input_table;
"

```

三、生成分词结果表

```shell
#! /bin/bash

db_name=wangshuai

input_table=weiboplus_product
output_table=weiboplus_seg_result
jar_path_hdfs=hdfs:///tmp/ws/data/day01-1.0-SNAPSHOT-jar-with-dependencies.jar
class_path=com.atsansan.day24.deal.NlpUDF
natureStr_list='n,nr,nr1,nr2,nrj,nrf,ns,nsf,nt,nz,nl,ng,nw'
hive -e"
?? ?use $db_name;
add jar $jar_path_hdfs;
create temporary function seg as '$class_path';
insert into table $output_table?
select seg(content,'$natureStr_list') from $input_table;

"

```

四、生成倒排表

```shell
#! /bin/bash

db_name=wangshuai

input_table=weiboplus_seg_result
output_table=weiboplus_seg_wc
intput_table2=weibopuls_stopwords
hive -e"
?? ?use $db_name;

insert overwrite table $output_table?
select word_cnt.word,freq from?
(select word,count(1) freq from weiboplus_seg_result lateral view explode(split(content,'\001')) word_table as word?
where content is not null and length(word)>1 group by word)as word_cnt left join weibopuls_stopwords black on word_cnt.word=black.word where black.word is null order by freq desc;
"

```

五、下载数据到本地

```shell
#! /bin/bash

db_name=wangshuai
down_path_hdfs=/tmp/ws/data/hotwordsplus/
down_path_local=../data/
input_table=weiboplus_seg_wc

hive -e"
?? ?use $db_name;
?? ?insert overwrite directory '$down_path_hdfs'
row format delimited fields terminated by '\t'
select word,freq from (
select word,freq,dense_rank() over(order by freq desc) top from $input_table) word_top where top<=500;
"
hdfs dfs -get -f $down_path_hdfs $down_path_local