Dummy commit to trigger the query reviewer workflow

[misraved]

Example query results

Results

Add example SQL query results here (please include the input queries as well)

[cbruno10]

Query Reviews

Top 10 accessed objects ❌

Query

### Top 10 accessed objects

List the 10 most frequently accessed S3 objects.

select
  bucket,
  key,
  count(*) as requests
from
  aws_s3_server_access_log
where
  key is not null
group by
  bucket,
  key
order by
  requests desc
limit 20;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ❌

Criteria	Pass/Fail	Suggestions
Title uses title case	❌	Change title to "Top 10 Accessed Objects"
Title accurately describes the query	❌	The title indicates "Top 10" while the query uses LIMIT 20; align these.
Description explains what the query does	✅
Description explains why a user would run the query	❌	Include a brief rationale, e.g., "to identify popular objects for optimization."
Description is concise	✅

Unauthenticated Requests ✅

Query

### Unauthenticated Requests

List all unauthenticated requests. This can help you monitor for potential security risks or unauthorized access attempts, ensuring that only valid, authenticated requests are interacting with your S3 buckets.

select
  timestamp,
  bucket,
  operation,
  request_uri,
  remote_ip,
  user_agent
from
  aws_s3_server_access_log
where
  requester is null
order by
  timestamp desc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
The query's title should use title case	✅
The query's title should accurately describe what the query does	✅
The first sentence of the query description should explain what the query does	✅
The second sentence of the query description should explain why a user would want to run the query	✅
Each sentence in the query description should be concise	✅

[misraved]

Query Reviews

Daily Access Trends ✅

Query

### Daily Access Trends

This query aggregates the number of requests made to the S3 bucket on a daily basis. It provides insights into daily access trends for better understanding of usage patterns.

select
  strftime(timestamp, '%Y-%m-%d') as access_date,
  count(*) AS requests
from
  aws_s3_server_access_log
group by
  access_date
order by
  access_date asc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-

Query Reviews

Top 10 Accessed Objects ❌

Query

### Top 10 Accessed Objects

This query retrieves the top 10 accessed objects from S3 based on request counts. It helps users identify the most frequently accessed objects for monitoring or optimization purposes.

select
  bucket,
  key,
  count(*) as requests
from
  aws_s3_server_access_log
where
  key is not null
group by
  bucket,
  key
order by
  requests desc
limit 10;

SQL syntax checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	Fix indentation to 2 spaces.
Criteria 2	✅	Query ends with a semicolon.
Criteria 3	✅	Keywords are in lowercase.
Criteria 4	✅	Each clause is on its own line.
Criteria 5	✅	All columns exist in the schema.
Criteria 6	✅	No STRUCT type columns used.
Criteria 7	✅	No JSON type columns used.
Criteria 8	✅	Valid DuckDB syntax used.

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	Title accurately describes the query.
Criteria 2	✅	Description explains what and why clearly.

Query Reviews

Top 10 Requester Ip Addresses ✅

Query

### Top 10 Requester Ip Addresses

This query retrieves the top 10 requester IP addresses based on the number of requests made. It helps identify the most active clients accessing the S3 bucket.

select
  remote_ip,
  count(*) as request_count
from
  aws_s3_server_access_log
group by
  remote_ip
order by
  request_count desc
limit 10;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	None
Criteria 2	✅	None
Criteria 3	✅	None
Criteria 4	✅	None
Criteria 5	✅	None
Criteria 6	✅	None

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	None
Criteria 2	✅	None
Criteria 3	✅	None
Criteria 4	✅	None

Query Reviews

Top Error Codes ❌

Query

### Top Error Codes

This query retrieves the count of error occurrences grouped by HTTP status and error code.
Users may want to run this query to identify the most frequent error codes encountered in the S3 server access logs.

select
  http_status,
  error_code,
  count(*) as error_count
from
  aws_s3_server_access_log
where
  error_code is not null
group by
  http_status,
  error_code
order by
  error_count desc;

SQL syntax checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	Fix indentation to 2 spaces.
Criteria 2	✅	Query ends with a semicolon.
Criteria 3	✅	Keywords are in lowercase.
Criteria 4	✅	Each clause is on its own line.
Criteria 5	✅	All columns exist in the schema.
Criteria 6	✅	No STRUCT type columns used.
Criteria 7	✅	No JSON type columns used.
Criteria 8	✅	Valid DuckDB syntax.

Query title and description checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	The query title should be in title case.
Criteria 2	✅	The title accurately describes the query.
Criteria 3	✅	The first sentence explains what the query does.
Criteria 4	✅	The second sentence explains why a user would want to run the query.
Criteria 5	✅	Each sentence is concise.

[misraved]

Query Reviews

Daily Access Trends ✅

Query

### Daily Access Trends

This query aggregates the total number of requests made to the S3 bucket on a daily basis. It is useful for analyzing access patterns over time.

select
  strftime(timestamp, '%Y-%m-%d') as access_date,
  count(*) AS requests
from
  aws_s3_server_access_log
group by
  access_date
order by
  access_date asc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-
Criteria 2	✅	-
Criteria 3	✅	-
Criteria 4	✅	-
Criteria 5	✅	-
Criteria 6	✅	-
Criteria 7	✅	-

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-
Criteria 2	✅	-
Criteria 3	✅	-
Criteria 4	✅	-

# Query Reviews

Top 10 Accessed Objects ❌

Query

### Top 10 Accessed Objects

Query description missing.

select
  bucket,
  key,
  count(*) as requests
from
  aws_s3_server_access_log
where
  key is not null
group by
  bucket,
  key
order by
  requests desc
limit 10;

SQL syntax checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	The query does not use the correct format for the key column, which should be accessed using dot notation as it is a pointer type in the provided schema. The correct syntax should be key->>0 or similar based on the intended structure.
Criteria 2	✅	The query ends with a semicolon.
Criteria 3	✅	Keywords are in lowercase.
Criteria 4	✅	Each clause is on its own line.
Criteria 5	✅	All columns exist in the schema.
Criteria 6	✅	No STRUCT type columns are accessed improperly.
Criteria 7	✅	No JSON type columns are accessed improperly.
Criteria 8	✅	SQL query syntax uses valid DuckDB syntax.

Query title and description checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	The query title should accurately describe what the query does.
Criteria 2	❌	The query description is missing. A description should explain what the query does and why a user would want to run it.

# Query Reviews

Top 10 Requester Ip Addresses ❌

Query

### Top 10 Requester Ip Addresses

Query description missing.

select
  remote_ip,
  count(*) as request_count
from
  aws_s3_server_access_log
group by
  remote_ip
order by
  request_count desc
limit 10;

SQL syntax checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	Ensure all keywords are in lowercase.
Criteria 2	❌	Each clause should be on its own line.
Criteria 3	✅	All columns exist in the schema.
Criteria 4	✅	No STRUCT type columns are used incorrectly.
Criteria 5	✅	No JSON type columns are used incorrectly.
Criteria 6	✅	Valid DuckDB syntax is used.

Query title and description checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	❌	The title does not follow title case.
Criteria 2	❌	The title does not accurately describe the query.
Criteria 3	❌	The description of the query is missing.
Criteria 4	❌	The description does not explain why a user would want to run the query.

# Query Reviews

Top Error Codes ❌

Query

### Top Error Codes

The query counts the occurrences of different error codes by HTTP status. This information is useful for identifying the most common errors encountered in S3 server access logs.

select
  http_status,
  error_code,
  count(*) as error_count
from
  aws_s3_server_access_log
where
  error_code is not null
group by
  http_status,
  error_code
order by
  error_count desc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-
Criteria 2	✅	-
Criteria 3	✅	-
Criteria 4	✅	-
Criteria 5	✅	-
Criteria 6	✅	-
Criteria 7	✅	-
Criteria 8	✅	-
Criteria 9	✅	-
Criteria 10	✅	-

Query title and description checks ❌

Criteria	Pass/Fail	Suggestions
Criteria 1	✅	-
Criteria 2	✅	-
Criteria 3	❌	The description should clarify the purpose and usefulness of the query.

[misraved]

Query Reviews

Daily Access Trends ✅

Query

### Daily Access Trends

Count access log entries per day to identify trends over time.

select
  strftime(timestamp, '%Y-%m-%d') as access_date,
  count(*) AS requests
from
  aws_s3_server_access_log
group by
  access_date
order by
  access_date asc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

# Query Reviews

Top 10 Accessed Objects ✅

Query

### Top 10 Accessed Objects

List the 10 most frequently accessed S3 objects.

select
  bucket,
  key,
  count(*) as requests
from
  aws_s3_server_access_log
where
  key is not null
group by
  bucket,
  key
order by
  requests desc
limit 10;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

# Query Reviews

Top 10 Requester Ip Addresses ✅

Query

### Top 10 Requester Ip Addresses

select
  remote_ip,
  count(*) as request_count
from
  aws_s3_server_access_log
group by
  remote_ip
order by
  request_count desc
limit 10;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

# Query Reviews

Top Error Codes ✅

Query

### Top Error Codes

Identify the most frequent error codes.

select
  http_status,
  error_code,
  count(*) as error_count
from
  aws_s3_server_access_log
where
  error_code is not null
group by
  http_status,
  error_code
order by
  error_count desc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

[misraved]

Query Reviews

Daily Access Trends ✅

Query

### Daily Access Trends

select
  strftime(timestamp, '%Y-%m-%d') as access_date,
  count(*) AS requests
from
  aws_s3_server_access_log
group by
  access_date
order by
  access_date asc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

Top 10 Accessed Objects ✅

Query

### Top 10 Accessed Objects

List the 10 most frequently accessed S3 objects.

select
  bucket,
  key,
  count(*) as requests
from
  aws_s3_server_access_log
where
  key is not null
group by
  bucket,
  key
order by
  requests desc
limit 10;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

Top 10 Requester Ip Addresses ✅

Query

### Top 10 Requester Ip Addresses

List the top 10 requester IP addresses.

select
  remote_ip,
  count(*) as request_count
from
  aws_s3_server_access_log
group by
  remote_ip
order by
  request_count desc
limit 10;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅

Top Error Codes ✅

Query

### Top Error Codes

select
  http_status,
  error_code,
  count(*) as error_count
from
  aws_s3_server_access_log
where
  error_code is not null
group by
  http_status,
  error_code
order by
  error_count desc;

SQL syntax checks ✅

Criteria	Pass/Fail	Suggestions
Use 2 space indentation	✅
Query should end with a semicolon	✅
Keywords should be in lowercase	✅
Each clause is on its own line	✅
All columns exist in the schema	✅
STRUCT type columns use dot notation	✅
JSON type columns use -> and ->> operators	✅
JSON type columns are wrapped in parenthesis	✅
SQL query syntax uses valid DuckDB syntax	✅

Query title and description checks ✅

Criteria	Pass/Fail	Suggestions
Title uses title case	✅
Title accurately describes the query	✅
Description explains what the query does	✅
Description explains why a user would run the query	✅
Description is concise	✅