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doc: document different RisingWave keys (#16149)
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# Keys | ||
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Document the different Keys in RisingWave. | ||
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## Stream Key | ||
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The key which can identify records in the RisingWave stream. | ||
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For example, given the following stream chunk, where stream key is `k1, k2`: | ||
```text | ||
| op | k1 | k2 | v1 | v2 | | ||
|----|----|----|----|----| | ||
| - | 1 | 2 | 1 | 1 | | ||
| + | 1 | 2 | 3 | 4 | | ||
| + | 0 | 1 | 2 | 3 | | ||
``` | ||
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We can tell that the record corresponding to the key `(1, 2)` | ||
has been updated from `(1, 2, 1, 1)` to `(1, 2, 3, 4)`. | ||
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The record corresponding to key `(0, 1)` has been inserted with `(0, 1, 2, 3)`. | ||
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It may not be the minimal set of columns required to identify a record, | ||
for instance `group key` could be part of the stream key, to specify the distribution of records. | ||
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## Primary Key (Storage) | ||
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This discusses the internal primary key (pk) which we often see in streaming operators. | ||
It is different from the primary key in SQL. | ||
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A more appropriate name for this would be `Storage Primary Key`. | ||
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Besides uniquely identifying a record in storage, this key may also be used | ||
to provide ordering properties. | ||
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Let's use the following query as an example: | ||
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```sql | ||
create table t1(id bigint primary key, i bigint); | ||
create materialized view mv1 as select id, i from t1 order by i, id; | ||
``` | ||
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`mv1` has the following plan: | ||
```text | ||
StreamMaterialize { | ||
columns: [id, i], | ||
stream_key: [id], | ||
pk_columns: [i, id], -- notice the pk_columns | ||
pk_conflict: NoCheck | ||
} | ||
└─StreamTableScan { table: t1, columns: [id, i] } | ||
``` | ||
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You can see that the `pk_columns` are `[i, id]`, although the upstream SQL primary key is just `id`. | ||
In the storage layer, key-value pairs are sorted by their keys. | ||
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Because the materialized view contains an `order by i, id`, | ||
the storage primary key is `[i, id]` to ensure they are ordered in storage. | ||
Importantly, `i` will be a prefix of the key. | ||
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Then when iterating over the keys from storage, the records are returned in the correct order per partition. | ||
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When the update stream comes, we can just use `id` to identify the records that need to be updated. | ||
We can get the whole record corresponding to the `id` and get the `i` from there. | ||
Then we can use that to update the materialized state accordingly. |