Merge branch 'main' of https://github.com/marvin-j97/smoltable

marvin-j97 · Jan 29, 2024 · 24aaa23 · 24aaa23
2 parents 818f5c7 + 8a5f548
commit 24aaa23
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diff --git a/docs/src/content/docs/guides/column-keys.md b/docs/src/content/docs/guides/column-keys.md
@@ -17,5 +17,5 @@ Column qualifiers in Bigtable can be arbitrary byte arrays. In Smoltable, they n
 ## Default column
 
 The column qualifier can be omitted to access the default column (empty). For instance,
-we wanted to have a single column family that stores a title, the column would be accessed
+if we wanted to have a single column family that stores a title, the column would be accessed
 by `title:`. In that case, the `:` can be omitted: `title`.
diff --git a/docs/src/content/docs/guides/locality-groups.md b/docs/src/content/docs/guides/locality-groups.md
@@ -114,7 +114,7 @@ All data is stored in the `_dat_scan-example` partition.
 
 Let's ingest some data and query it (body is truncated for brevity):
 
-```json
+```bash
 curl --request POST \
   --url http://localhost:9876/v1/table/scan-example/write \
   --header 'content-type: application/json' \
@@ -372,7 +372,7 @@ which returns (truncated):
 }
 ```
 
-We get the exact same result, however, we reduce scanned bytes down to 680 bytes, and halved scanned cells, and achieved a read amplification of `1`!
+We get the exact same result, however, we reduced scanned bytes down to 680 bytes, and halved scanned cells, achieving a read amplification of `1`!
 
 ## Example: Scanning another column family
 

diff --git a/docs/src/content/docs/guides/wide-column-intro.md b/docs/src/content/docs/guides/wide-column-intro.md
@@ -61,7 +61,7 @@ restructure our data:
 | row key | flight\:FI318 | flight\:FI319 | flight\:EW7033 | flight\:EW7036 | meta\:miles | meta\:model | meta\:operator |
 | --- | --- | --- | --- | --- | --- | --- | --- |
 | plane#TF-FIR | 2024-01-25 | 2024-01-25 |  |  | 51000000 | Boeing 757-256 | Icelandair |
-| plane#plane#D-AIQN |  |  | 2019-10-31 | 2019-10-31 | 52142142 | Airbus A320-211 | Germanwings |
+| plane#D-AIQN |  |  | 2019-10-31 | 2019-10-31 | 52142142 | Airbus A320-211 | Germanwings |
 
 We can easily store all data in a single row, using two column families, `flight` and `meta`. Meta contains arbitrary columns
 of different kind of metadata, while each column inside `flights` is a flight number, with the cell value being the flight data.