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new b9d6d78 [MINOR] fix minor docs (#70)
b9d6d78 is described below
commit b9d6d78f70e134c91f9dfc6c1a88efc9e7802113
Author: roryqi <[email protected]>
AuthorDate: Thu Aug 29 16:24:51 2024 +0800
[MINOR] fix minor docs (#70)
---
README.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/README.md b/README.md
index d0f6725..1793314 100644
--- a/README.md
+++ b/README.md
@@ -63,7 +63,7 @@ the full functionality of the playground.
### Using Trino CLI in Docker Container
-1. Log in to the Gravitino playground Trino Docker container using the
following command:
+1. Login to the Gravitino playground Trino Docker container using the
following command:
```shell
docker exec -it playground-trino bash
@@ -85,7 +85,7 @@ trino@container_id:/$ trino
## Using Spark client
-1. Log in to the Gravitino playground Spark Docker container using the
following command:
+1. Login to the Gravitino playground Spark Docker container using the
following command:
```shell
docker exec -it playground-spark bash
@@ -174,7 +174,7 @@ GROUP BY e.employee_id, given_name, family_name;
You might consider generating data with SparkSQL and then querying this data
using Trino. Give it a try with Gravitino:
-1. login Spark container and execute the SQLs:
+1. Login Spark container and execute the SQLs:
```sql
// using Hive catalog to create Hive table
@@ -195,7 +195,7 @@ INSERT OVERWRITE TABLE employees
PARTITION(department='Engineering') VALUES (1,
INSERT OVERWRITE TABLE employees PARTITION(department='Marketing') VALUES (3,
'Mike Brown', 32);
```
-2. login Trino container and execute SQLs:
+2. Login Trino container and execute SQLs:
```sql
SELECT * FROM catalog_hive.product.employees WHERE department = 'Engineering';