add column to single row resultset - mysql

Question

I have a query that gets me statistics about data in a table:
SELECT COUNT(1) batch_count,
ROUND(MAX(batch_duration_milliseconds) / 1000) max_batch_duration_seconds,
ROUND(AVG(batch_duration_milliseconds) / 1000) avg_batch_duration_seconds,
ROUND(MIN(batch_duration_milliseconds) / 1000, 1) min_batch_duration_seconds,
ROUND(SUM(total_queries_duration_milliseconds) / SUM(batch_duration_milliseconds) *
100) query_duration_percentage,
SUM(total_queries) queries,
ROUND(SUM(monitoring_queries) / SUM(total_queries) * 100) percent_monitoring_queries,
ROUND(SUM(total_queries) / SUM(batch_duration_milliseconds) * 1000) queries_per_second,
MAX(max_query_duration_milliseconds) max_query_duration,
ROUND(AVG(avg_query_duration_milliseconds)) avg_query_duration,
ROUND(SUM(retrieved_data_bytes) / 1024 / 1024) data_mb,
ROUND(MAX(retrieved_data_bytes) / 1024 / 1024) max_batch_data_mb,
ROUND(ROUND(AVG(retrieved_data_bytes)) / 1024 / 1024) avg_batch_data_mb,
ROUND(SUM(retrieved_data_bytes_calculation_duration_milliseconds) / SUM(batch_duration_milliseconds) *
100, 1) percent_data_calc_duration
FROM entrypoint_sql_queries
WHERE created_at > SUBDATE(NOW(), INTERVAL 1 HOUR);
now I want to add one more column that gets me the percent of queries caused by the entrypoint with the most queries:
SELECT ROUND(MAX(total_queries) / SUM(total_queries) * 100) percent_most_expensive_job_queries
FROM (
SELECT SUM(total_queries) AS total_queries
FROM entrypoint_sql_queries
WHERE created_at > SUBDATE(NOW(), INTERVAL 1 HOUR)
GROUP BY entrypoint
) as t;
How can I get both into the same resultset (i.e. I want to show the resulting number of query 2 as an additional column in query 1)

Answer 1

You can do it by adding your second query as a single column on the global select :
SELECT COUNT(1) batch_count,
ROUND(MAX(batch_duration_milliseconds) / 1000) max_batch_duration_seconds,
ROUND(AVG(batch_duration_milliseconds) / 1000) avg_batch_duration_seconds,
ROUND(MIN(batch_duration_milliseconds) / 1000, 1) min_batch_duration_seconds,
ROUND(SUM(total_queries_duration_milliseconds) / SUM(batch_duration_milliseconds) *
100) query_duration_percentage,
SUM(total_queries) queries,
ROUND(SUM(monitoring_queries) / SUM(total_queries) * 100) percent_monitoring_queries,
ROUND(SUM(total_queries) / SUM(batch_duration_milliseconds) * 1000) queries_per_second,
MAX(max_query_duration_milliseconds) max_query_duration,
ROUND(AVG(avg_query_duration_milliseconds)) avg_query_duration,
ROUND(SUM(retrieved_data_bytes) / 1024 / 1024) data_mb,
ROUND(MAX(retrieved_data_bytes) / 1024 / 1024) max_batch_data_mb,
ROUND(ROUND(AVG(retrieved_data_bytes)) / 1024 / 1024) avg_batch_data_mb,
ROUND(SUM(retrieved_data_bytes_calculation_duration_milliseconds) / SUM(batch_duration_milliseconds) *
100, 1) percent_data_calc_duration,
( SELECT ROUND(MAX(total_queries) / SUM(total_queries) * 100)
FROM (
SELECT SUM(total_queries) AS total_queries
FROM entrypoint_sql_queries
WHERE created_at > SUBDATE(NOW(), INTERVAL 1 HOUR)
GROUP BY entrypoint
) as t ) as percent_most_expensive_job_queries
FROM entrypoint_sql_queries
WHERE created_at > SUBDATE(NOW(), INTERVAL 1 HOUR);