为嵌套的Elasticsearch结构格式化Postgres JSON输出

小编典典

为嵌套的Elasticsearch结构格式化Postgres JSON输出

elasticsearch

我已经意识到使用SQL数据库（Postgres）是将我的关系数据（24个CSV文件中的40+
GB）移植到具有嵌套结构的
Elasticsearch中的最有效方法之一。但是我仍然对Postgres的JSON输出的格式存在一些问题：1）不需要的换行符（\
n），2）不需要的标题行和3）不需要的日期格式。这是一个基本示例进行演示：

file1
id,age,gender,wave
1,49,M,1
2,72,F,0

file2
id,time,event1
1,2095-04-20 12:28:55,V39
1,2095-04-21 2:27:45,T21
2,2094-05-17 18:17:25,V39

file3
id,time,event2
1,2095-04-22 3:48:53,P90
2,2094-05-18 1:28:23,RT4
2,2094-05-18 4:23:53,W3

将这些CSV添加到名为Forum的架构并运行以下SQL代码后：

with f_1 as(
   SELECT id, json_agg(file1.*) AS tag
   FROM forum.file1
   GROUP BY id
), f_2 as (
   SELECT id, json_agg(file2.*) AS tag
   FROM forum.file2
   GROUP BY id
), f_3 as (
   SELECT id, json_agg(file3.*) AS tag
   FROM forum.file3
   GROUP BY id
)
SELECT ('{"id":' || a.id), ('"file1":' || a.tag), ('"file2":' || b.tag), ('"file3":' || c.tag ||'}') 
FROM f_1 AS a, f_2 AS b, f_3 AS c
WHERE b.id = a.id AND c.id = a.id;

我得到以下输出（pgAdminIII-导出到文件-没有报价）：

?column?,?column?,?column?,?column?
{"id":1,"file1":[{"id":1,"age":49,"gender":"M","wave":1}],"file2":[{"id":1,"time":"2095-04-20T12:28:55","event1":"V39"}, 
 {"id":1,"time":"2095-04-21T02:27:45","event1":"T21"}],"file3":[{"id":1,"time":"2095-04-22T03:48:53","event2":"P90"}]}
{"id":2,"file1":[{"id":2,"age":72,"gender":"F","wave":0}],"file2":[{"id":2,"time":"2094-05-17T18:17:25","event1":"V39"}],"file3":[{"id":2,"time":"2094-05-18T01:28:23","event2":"RT4"}, 
 {"id":2,"time":"2094-05-18T04:23:53","event2":"W3"}]}

您可以看到，对于给定的ID，多行数据。对于给定的ID（即没有\
n），我需要所有数据都在一行上。我没有花很多时间但想更改的其他几个小问题是不需要第一行，我想摆脱它?column?,?column?,?column?,?column?而不必在处理完成后打开文件。理想情况下，我也希望T日期输出中没有任何内容。我应该能够T在Elasticsearch中容纳它，但是到目前为止还没有被它接受。这是我希望从Postgres获得的输出，该输出可用于Elasticsearch的输入（使用stream2es和嵌套的映射结构）：

{"id":1,"file1":[{"id":1,"age":49,"gender":"M","wave":1}],"file2":[{"id":1,"time":"2095-04-20 12:28:55","event1":"V39"},{"id":1,"time":"2095-04-21 02:27:45","event1":"T21"}],"file3":[{"id":1,"time":"2095-04-22 03:48:53","event2":"P90"}]}
{"id":2,"file1":[{"id":2,"age":72,"gender":"F","wave":0}],"file2":[{"id":2,"time":"2094-05-17 18:17:25","event1":"V39"}],"file3":[{"id":2,"time":"2094-05-18 01:28:23","event2":"RT4"},{"id":2,"time":"2094-05-18 04:23:53","event2":"W3"}]}

添加to_json确实可以修复不需要的换行符，但它可以\"代替"stream2es解析器所不喜欢的：

SELECT to_json('{"id":' || a.id), to_json('"file1":' || a.tag::json), to_json('"file2":' || b.tag::json), to_json('"file3":' || c.tag::json ||'}')

"{\"id\":1","\"file1\":[{\"id\":1,\"age\":49,\"gender\":\"M\",\"wave\":1}]"…

es2stream异常： Exception in thread "stream dispatcher" java.lang.ClassCastException: java.lang.String cannot be cast to clojure.lang.IPersistentMap

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2020-06-22

共1个答案

小编典典

全选一列（而不是四列）。函数format（）将帮助您更清楚地记录下来。用

regexp_replace (str, '(\d\d\d\d-\d\d-\d\d)T', '\1 ', 'g')

更正日期格式，并

replace (str, e' \n ', '')

跳过换行符。

使用COPY命令可以简化问题：

COPY (
    with f_1 as(
       SELECT id, json_agg(file1.*) AS tag
       FROM forum.file1
       GROUP BY id
    ), f_2 as (
       SELECT id, json_agg(file2.*) AS tag
       FROM forum.file2
       GROUP BY id
    ), f_3 as (
       SELECT id, json_agg(file3.*) AS tag
       FROM forum.file3
       GROUP BY id
    )
    SELECT
        replace(
            regexp_replace(
                format('{"id":%s,"file1":%s,"file2":%s,"file3":%s}', 
                    a.id, a.tag, b.tag, c.tag),
                '(\d\d\d\d-\d\d-\d\d)T', '\1 ', 'g'),
            e' \n ', '')
    FROM f_1 AS a, f_2 AS b, f_3 AS c
    WHERE b.id = a.id AND c.id = a.id
) TO '/full/path/to/your/file';

要在每行数据前添加命令行，可以使用带有返回两行功能的技巧。格式化的某些部分可以偶尔移至该功能。

create or replace function format_data_line(command text, data_str text)
returns setof text language plpgsql as $$
begin
    return next command;
    return next             
        replace(
            regexp_replace(data_str,
                '(\d\d\d\d-\d\d-\d\d)T', '\1 ', 'g'),
            e' \n ', '');
end $$;

COPY (
    with f_1 as(
       SELECT id, json_agg(file1.*) AS tag
       FROM forum.file1
       GROUP BY id
    ), f_2 as (
       SELECT id, json_agg(file2.*) AS tag
       FROM forum.file2
       GROUP BY id
    ), f_3 as (
       SELECT id, json_agg(file3.*) AS tag
       FROM forum.file3
       GROUP BY id
    )
    SELECT 
        format_data_line(
            'my command', 
            format('{"id":%s,"file1":%s,"file2":%s,"file3":%s}', 
                a.id, a.tag, b.tag, c.tag))
    FROM f_1 AS a, f_2 AS b, f_3 AS c
    WHERE b.id = a.id AND c.id = a.id
) TO '/full/path/to/your/file';

2020-06-22