hive：如何比较where子句中具有复杂数据类型的两列？

iqjalb3h  于 2021-05-29  发布在  Hadoop
关注(0)|答案(3)|浏览(708)

我有一个配置单元表作为源表。我还有一个Hive表作为目标。源表和目标表的ddl都是相同的，只是在目标表中添加了一些日志列。以下是ddls:source：

CREATE EXTERNAL TABLE source.customer_detail(
   id string,
   name string,
   city string,
   properties_owned array<struct<property_addr:string, location:string>>
)
ROW FORMAT SERDE
  'org.apache.hive.hcatalog.data.JsonSerDe'
STORED AS TEXTFILE
LOCATION
  '/user/aiman/customer_detail';

目标：

CREATE EXTERNAL TABLE target.customer_detail(
   id string,
   name string,
   city string,
   properties_owned array<struct<property_addr:string, location:string>>
   audit_insterted_ts timestamp,
   audit_dml_action char(1)
)
PARTITIONED BY (audit_active_flag char(1))
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\u0001'
STORED AS ORC
LOCATION
  '/user/aiman/target/customer_detail';

数据源：

+---------------------+--------------------------+-------------------------+--------------------------------------------------------------------------------------------------------------------------------------+
| customer_detail.id  |   customer_detail.name   |  customer_detail.city   |                                               customer_detail.properties_owned                                                       |
+---------------------+--------------------------+-------------------------+--------------------------------------------------------------------------------------------------------------------------------------+
| 1                   | Aiman Sarosh             |      kolkata            |  [{"property_addr":"H1 Block Saltlake","location":"kolkata"},{"property_addr":"New Property Added Saltlake","location":"kolkata"}]   |
| 2                   | Justin                   |      delhi              |  [{"property_addr":"some address in delhi","location":"delhi"}]                                                                      |
+---------------------+--------------------------+-------------------------+--------------------------------------------------------------------------------------------------------------------------------------+

目标数据：

+---------------------+--------------------------+-------------------------+------------------------------------------------------------------+--------------------------------------+-----------------------------------+------------------------------------+
| customer_detail.id  |   customer_detail.name   |  customer_detail.city   |              customer_detail.properties_owned                    |  customer_detail.audit_insterted_ts  | customer_detail.audit_dml_action  | customer_detail.audit_active_flag  |
+---------------------+--------------------------+-------------------------+------------------------------------------------------------------+--------------------------------------+-----------------------------------+------------------------------------+
| 1                   | Aiman Sarosh             |      kolkata            |  [{"property_addr":"H1 Block Saltlake","location":"kolkata"}]    | 2018-09-04 06:55:12.361              | I                                 | A                                  |
| 2                   | Justin                   |      delhi              |  [{"property_addr":"some address in delhi","location":"delhi"}]  | 2018-09-05 08:36:39.023              | I                                 | A                                  |
+---------------------+--------------------------+-------------------------+---------------------------------------------------------------------------------------------------------+-----------------------------------+------------------------------------+

当我运行下面的查询时，它应该会获取1条已修改的记录，即：

+---------------------+--------------------------+-------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+-----------------------------------+------------------------------------+
| customer_detail.id  |   customer_detail.name   |  customer_detail.city   |                                                                  customer_detail.properties_owned                                              |  customer_detail.audit_insterted_ts  | customer_detail.audit_dml_action  | customer_detail.audit_active_flag  |
+---------------------+--------------------------+-------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+-----------------------------------+------------------------------------+
| 1                   | Aiman Sarosh             |      kolkata            |  [{"property_addr":"H1 Block Saltlake","location":"kolkata"},{"property_addr":"New Property Added Saltlake","location":"kolkata"}]             | 2018-09-05 07:15:10.321              | U                                 | A                                  |
+---------------------+--------------------------+-------------------------+------------------------------------------------------------------------------------------------------------------------------------------------+--------------------------------------+-----------------------------------+------------------------------------+

基本上， {"property_addr":"New Property Added Saltlake","location":"kolkata"} 元素已添加到数组列 properties_owned 在 source .
查询：

SELECT  --fetch modified/updated records in source
   source.id AS id,
   source.name AS name,
   source.city AS city,
   source.properties_owned AS properties_owned,
   current_timestamp() AS audit_insterted_ts,
   'U' AS audit_dml_action,
   'A' AS audit_active_flag
FROM source.customer_detail source
INNER JOIN target.customer_detail jrnl
ON source.id=jrnl.id
WHERE source.name!=jrnl.name
OR source.city!=jrnl.city
OR source.properties_owned!=jrnl.properties_owned

但这是一个错误：

Error: Error while compiling statement: FAILED: SemanticException [Error 10016]: Line 14:3 Argument type mismatch 'properties_owned': The 1st argument of NOT EQUAL  is expected to a primitive type, but list is found (state=42000,code=10016)

在使用联接时，如何比较where子句中具有复杂数据类型的两列？
我可以用 .POS 以及 .ITEM 但这不会有帮助，因为我的列是一个结构数组，数组的长度可以不同。

hadoopHivebeelinehiveqlhadoop2

3条答案

按热度按时间
6ss1mwsb

6ss1mwsb1#

处理复杂类型的一种方法是将它们转换为字符串，例如json string。有一个brickhouse项目，其中包含有用的第三方hive udf。是的 to_json 函数，可以将任何复杂类型转换为json字符串。首先，克隆并构建jar：

git clone https://github.com/klout/brickhouse.git
cd brickhouse
mvn clean package

然后将brickhouse jar复制到hdfs并将jar添加到hive中：

add jar hdfs://<your_path>/brickhouse-0.7.1-SNAPSHOT.jar;

注册 to_json Hive中的自定义项

create temporary function to_json as 'brickhouse.udf.json.ToJsonUDF';

现在你可以用它了，例如。，

hive> select to_json(ARRAY(MAP('a',1), MAP('b',2)));
OK
[{"a":1},{"b":2}]

因此，在您的情况下，您需要将列转换为json字符串，然后在中进行比较 where 条款。请记住 to_json 按原样转换复杂值。例如，在您的示例中，两个数组

[{"property_addr":"H1 Block Saltlake","location":"kolkata"},{"property_addr":"New Property Added Saltlake","location":"kolkata"}]

以及

[{"property_addr":"New Property Added Saltlake","location":"kolkata"},{"property_addr":"H1 Block Saltlake","location":"kolkata"}]

会有所不同。

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eiee3dmh

eiee3dmh2#

我用这个修好了 LATERAL VIEW explode() .
然后用 concat_ws() 结合 collect_list(array<string>) 方法，这最终给了我一个 string 我比较了一下：

SELECT  --fetch modified/updated records in source
   source.id AS id,
   source.name AS name,
   source.city AS city,
   source.properties_owned AS properties_owned,
   current_timestamp() AS audit_insterted_ts,
   'U' AS audit_dml_action,
   'A' AS audit_active_flag
FROM source.customer_detail source
INNER JOIN target.customer_detail jrnl
ON source.id=jrnl.id
WHERE source.id IN
(
SELECT t1.id
FROM
(
   SELECT src.id,concat_ws(',', collect_list(src.property_addr),collect_list(src.location)) newcol
   FROM
   (
      SELECT id, prop_owned.property_addr AS property_addr, prop_owned.location AS location
      FROM source.customer_detail LATERAL VIEW explode(properties_owned) exploded_tab AS prop_owned
   ) src
   GROUP BY src.id
) t1
INNER JOIN
(
   SELECT trg.id,concat_ws(',', collect_list(trg.property_addr),collect_list(trg.location)) newcol
   FROM
   (
      SELECT id, prop_owned.property_addr AS property_addr, prop_owned.location AS location
      FROM target.customer_detail LATERAL VIEW explode(properties_owned) exploded_tab AS prop_owned
   ) trg
   GROUP BY trg.id
) t2
ON t1.id=t2.id
WHERE t1.newcol!=t2.newcol

希望有人觉得这很有用

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r55awzrz

r55awzrz3#

问题：您正在尝试比较列表而不是基元类型
当前情况：无法直接比较复杂对象列表和内置配置单元UDF（字符串列表有一些解决方法）。
解决方法：您需要一些第三方自定义项来帮助您解决这个问题。这里有几个有趣的自定义项（我以前没有测试过）

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