CANNOT Integrate successfully

[sevves7]

Hi everybody, I have a problem hope any of you can give me a little help😭, thanks a lot!
When I intergrate 3 different datasets into one, the code seems ok( without error but seems to have several warning messages). However, when I tried to UMAP the integrated dataset, the figure showed the original datasets didn't integrate successfully.
I have list the codes before UMAP below, could it because the Finding all pairwise anchors is 0% or other reasons that I haven't figure out?

THANKS A LOT🙏

> anchors <- FindIntegrationAnchors(object.list = list, dims = 1:30)
Computing 2000 integration features
Scaling features for provided objects
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=05s  
**Finding all pairwise anchors
  |                                                  | 0 % ~calculating  Running CCA**
Merging objects
Finding neighborhoods
Finding anchors
	Found 34427 anchors
Filtering anchors
	Retained 2093 anchors
  |+++++++++++++++++                                 | 33% ~45m 02s      Running CCA
Merging objects
Finding neighborhoods
Finding anchors
	Found 32169 anchors
Filtering anchors
	Retained 1319 anchors
  |++++++++++++++++++++++++++++++++++                | 67% ~23m 10s      Running CCA
Merging objects
Finding neighborhoods
Finding anchors
	Found 90847 anchors
Filtering anchors
	Retained 2631 anchors
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=03h 00m 22s
Warning message:
In CheckDuplicateCellNames(object.list = list) :
  Some cell names are duplicated across objects provided. Renaming to enforce unique cell names.

> integrated <- IntegrateData(anchorset = anchors, dims = 1:30)
Merging dataset 1 into 2
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Integrating data
Merging dataset 3 into 2 1
Extracting anchors for merged samples
Finding integration vectors
Finding integration vector weights
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
******************