I've been tasked to monitor the performance of SQL AlwaysON. I've written a script that would return AlwaysON Availability group information as follow:
;
WITH basicaginfo AS(
SELECT
ag.name AS AvailabilityGroupName,
cs.replica_server_name AS NodeName,
rs.role_desc,
rs.synchronization_health_desc,
DB_NAME(drs.database_id) AS DatabaseName
FROM
sys.availability_groups ag
join
sys.dm_hadr_availability_replica_cluster_states cs on ag.group_id = cs.group_id
join
sys.dm_hadr_availability_replica_states rs ON (ag.group_id=rs.group_id AND cs.replica_id = rs.replica_id)
join
sys.dm_hadr_database_replica_states drs ON (ag.group_id=drs.group_id AND cs.replica_id = drs.replica_id)
WHERE
cs.replica_server_name = @@SERVERNAME
),
AG_Stats AS
(
SELECT AR.replica_server_name,
HARS.role_desc,
Db_name(DRS.database_id) [DBName],
DRS.last_commit_time
FROM sys.dm_hadr_database_replica_states DRS
INNER JOIN sys.availability_replicas AR ON DRS.replica_id = AR.replica_id
INNER JOIN sys.dm_hadr_availability_replica_states HARS ON AR.group_id = HARS.group_id
AND AR.replica_id = HARS.replica_id
),
Pri_CommitTime AS
(
SELECT replica_server_name
, DBName
, last_commit_time
FROM AG_Stats
WHERE role_desc = 'PRIMARY'
),
Sec_CommitTime AS
(
SELECT replica_server_name
, DBName
, last_commit_time
FROM AG_Stats
WHERE role_desc = 'SECONDARY'
)
SELECT
bb.*,
p.replica_server_name [primary_replica]
, s.replica_server_name [secondary_replica]
, DATEDIFF(ss,s.last_commit_time,p.last_commit_time) AS [Sync_Lag_Secs]
FROM Pri_CommitTime p
LEFT JOIN Sec_CommitTime s ON [s].[DBName] = [p].[DBName]
left join basicaginfo bb on p.replica_server_name=bb.NodeName and p.DBName=bb.DatabaseName
How can "pivot" the result to 1 row that would look something like this:
AvailabilityGroupName Primary LAB-SCB-SQL02 LAB-LAS-SQL01 LAB-LAS-SQL02 Sync_Lag_Secs
LAB-VIP-USADB LAB-SCB-SQL01 HEALTHY HEALTHY HEALTHY max(3)
I am looking for a way that works like 'chart' command in Splunk where it spans the columns against multiple values by secondary_replica
This replaces your main query. CTEs stay the same.
SELECT AvailabilityGroupName, NodeName, role_desc, [primary_replica],
-- Replace Server1, 2, 3 etc with your specific values. Keep square brackets
[Server1], [Server2], [Server3], [Max_Sync_Lag_Secs]
FROM(
SELECT
bb.AvailabilityGroupName, bb.NodeName, bb.role_desc, bb.synchronization_health_desc, bb.DatabaseName,
p.replica_server_name AS [primary_replica],
s.replica_server_name AS [secondary_replica],
DATEDIFF(ss,s.last_commit_time,p.last_commit_time) AS [Sync_Lag_Secs],
MAX( DATEDIFF(ss,s.last_commit_time,p.last_commit_time)) OVER( PARTITION BY NULL ) AS [Max_Sync_Lag_Secs]
FROM Pri_CommitTime AS p
LEFT JOIN Sec_CommitTime s ON [s].[DBName] = [p].[DBName]
LEFT JOIN basicaginfo bb on p.replica_server_name=bb.NodeName and p.DBName=bb.DatabaseName
) AS Data
PIVOT(
-- Replace Server1, 2, 3 etc with your specific values. Keep square brackets
MAX( synchronization_health_desc ) FOR [secondary_replica] IN( [Server1], [Server2], [Server3] )) AS PivotedData;
Useful Sources: