So I have a normalized table with some data that I want to put into a Solr index, something akin to this
+----+--------------+--------------+---------+
| id | name | attribute | value |
+----+--------------+--------------+---------+
| 1 | Apple | color | green |
| 1 | Apple | shape | round |
| 1 | Apple | origin | Belgium |
| 2 | Motorbike | type | fast |
| 2 | Motorbike | nr of wheels | 2 |
| 3 | Office chair | color | grayish |
| 3 | Office chair | spins | yes |
+----+--------------+--------------+---------+
Now, I would prefer to have it to be indexed as one document per unique id (i.e. item). But then I will have to consolidate n attributes into a single document. To do this I would need to do some magic with my dataConfig. But how can I store and map n fields? Is this the right time to use dynamic fields?
Here is my current try. I'm pretty sure it's not valid.
<dataConfig>
<dataSource
type="JdbcDataSource" driver="com.mysql.jdbc.Driver"
url="jdbc:mysql://localhost/mystuff"
user="root" password="*****"/>
<document name="doc">
<entity name="t1" query="select * from item_to_id_table">
<field name="id" column="id"/>
<field name="name" column="name"/>
<entity name="t2" query="select * from my_flat_table"
cacheKey="t1.id"
cacheLookup="t2.id">
<!-- alt 1 -->
<field name="$(t2.attribute)" column="value" />
<!-- alt 2 -->
<entity name="properties" query="select property, value from t2"
cacheKey="$(t2.attribute)"
cacheLookup="property">
<field name="$(properties.property)" column="value" />
</entity>
</entity>
</entity>
</document>
</dataConfig>
I'm pretty sure neither of the two alternatives are valid, I'll try them out soon unless I can figure out something better. Perhaps a script transform as a third alternative.
Is this use case reasonable to use with Solr?