SQL Server : clustered index slow

Question

I have 2 database tables:

1. Message table that contains gps message
2. MessageData that contains message sensors values

I join them to get sensor values between 2 dates.

The query returns results slowly with 99% of time seeking the clustered index.

How to improve this performance? Any advice on the index or the query side?

I run the following query for join: I filter with primary key > 3264353049 to prevent seek dates with rows from last years

SELECT 
    t.MessageId, t.DataSourceId, t.[Value],
    DataSource.SourceNameId, DataSource.Name
FROM 
    [MessageData] t
INNER JOIN 
    [Message] m ON t.MessageId = m.MessageId
LEFT JOIN
    DataSource ON t.DataSourceId = DataSource.DataSourceId
WHERE
    t.MessageId > 3264353049 
    AND m.ObjectId = @objId 
    AND m.GpsTime BETWEEN @dtFrom AND @dtTo 
    AND m.Valid = 1;

I have these indexes:

ALTER TABLE [MessageData] 
    ADD CONSTRAINT [AnalogData_PK] 
    PRIMARY KEY CLUSTERED ([MessageId] ASC, [DataSourceId] ASC)

CREATE NONCLUSTERED INDEX [MessageData_DataSourceId_IDX] 
ON [MessageData] ([DataSourceId] ASC)
GO

CREATE NONCLUSTERED INDEX [IX_gpstime_objectid] 
ON [Message] ([GpsTime] ASC)
INCLUDE ([MessageId], [ObjectId]) 
GO

CREATE UNIQUE CLUSTERED INDEX [Message_Object_UK] 
ON [Message] ([ObjectId] ASC, [GpsTime] ASC, [MessageId] ASC)
GO

Message table data:

MessageId            ObjectId    VectorAngle VectorSpeed Altitude    GpsTime                        X                      Y                      VisibleSatelites
-------------------- ----------- ----------- ----------- ----------- ------------------------------ ---------------------- ---------------------- ----------------
9988600080           192         0           0           0           2017-07-19 00:03:20            0             0             0
9988600082           192         0           0           0           2017-07-19 00:08:20            0             0             0
9988600086           192         0           0           0           2017-07-19 00:13:20            0             0             0
9988600089           192         0           0           0           2017-07-19 00:18:20            0             0             0
9988600092           192         0           0           0           2017-07-19 00:23:20            0            0             0

and MessageData table data:

MessageId            DataSourceId Value                  SourceNameId Name
-------------------- ------------ ---------------------- ------------ ------------------------------
9988600080           6364         0                      1            Engine
9988600080           6365         0                      2            Digital Input Status 2
9988600080           325346       0                      179          DOUT 1
9988600080           325347       0                      180          DOUT 2
9988600080           334214       0                      69           Bettary
9988600082           6364         0                      1            Engine
9988600082           6365         0                      2            Digital Input Status 2
9988600082           325346       0                      179          DOUT 1
9988600082           325347       0                      180          DOUT 2
9988600082           334214       0                      69           Bettary
9988600086           6364         0                      1            Engine
9988600086           6365         0                      2            Digital Input Status 2
9988600086           325346       0                      179          DOUT 1
9988600086           325347       0                      180          DOUT 2
9988600086           334214       0                      69           Bettary
9988600089           6364         0                      1            Engine
9988600089           6365         0                      2            Digital Input Status 2
9988600089           325346       0                      179          DOUT 1
9988600089           325347       0                      180          DOUT 2
9988600089           334214       0                      69           Bettary
9988600092           6364         0                      1            Engine
9988600092           6365         0                      2            Digital Input Status 2
9988600092           325346       0                      179          DOUT 1
9988600092           325347       0                      180          DOUT 2
9988600092           334214       0                      69           Bettary

Answer 1

Well as mentioned in the comment I would definitely update my stats. But after that I would look at this index:

CREATE UNIQUE CLUSTERED INDEX [Message_Object_UK] 
ON [Message] ([ObjectId] ASC, [GpsTime] ASC, [MessageId] ASC)

The query is doing that nasty Nested Loop Join because it has to seek in and find the records with the specific messageID that is has to pull out of EACH record in the Message table index. Try changing it to:

CREATE UNIQUE CLUSTERED INDEX [Message_Object_UK] 
ON [Message] ([MessageId] ASC, [ObjectId] ASC, [GpsTime] ASC )

This has a chance of getting you a hash or merge join