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Issue-ID: AAI-2806
Change-Id: I2dbb46b897b35136ac1bb802978d3f974af1b307
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Issue-ID: AAI-2528
Change-Id: I87756450c12538af3f21e4affa24ef76724d232c
Signed-off-by: Sneha Dantkale <Sneha.dantkale@amdocs.com>
Change-Id: I9437899ba1c7f2aec816a8076c954b080f9512fb
Signed-off-by: Sneha Dantkale <Sneha.dantkale@amdocs.com>
Change-Id: If3ad26f98c815e4872320b2652cf6c2e0b675de0
Signed-off-by: Sneha Dantkale <Sneha.dantkale@amdocs.com>
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Issue-ID: AAI-2432
Change-Id: Iad8da31cefb32ed88a74f712d8ff509a2a3e9b6a
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Use maven plugins from AAI-2198 to do batch reformat of aai-schema-ingest
to consistent code style.
Change-Id: I9ad7aa66edcada25fbeba7658ff8f258dab9ca93
Issue-ID: AAI-1523
Signed-off-by: Keong Lim <keong.lim@huawei.com>
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when all of the schema failed to load
so the microservice wouldn't be in a
bad state and also have the microservice
dictate what versions of schema they are using
Issue-ID: AAI-2329
Change-Id: Ie2e6e2bb3bac37b2ad57ada613e7c0e65647b64e
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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After doing some analysis using profiler
found that the most cases where memory is being
spent when doing an GET is during the conversion
from one case to another case and instead
cached that during the start of the application
Issue-ID: AAI-2331
Change-Id: I291d5f953d4158daca293198cf6fc7f5cf86d25d
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Issue-ID: AAI-1811
Change-Id: I307731ee35d8a644ae995c4b372345a7ebeca0a1
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
Signed-off-by: Harish Venkata Kajur <vk250x@att.com>
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Issue-ID: AAI-1994
Change-Id: Icc9910db0371eeb8289abd4381ae1936a281a5df
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Currently the findSubGraph is being invoked
and causing additional calls to the database by backing
a tree backed vertex and slowing the performance of GET ALLs
Original intention of both of them was to pre fetch depth 0, 1, and 2
at once so we don't have to get them at each depth but since
that was not done right there is extra amount of time
After the aai-uri migration to ensure all vertexes
have the aai-uri and also to make sure they are unique across graph
we don't need to traverse a vertex to find the parents to build aai-uri
it was done previously when there was no aai-uri to derive the uri of a
given vertex and its not necessary anymore so there would be performance
improvements of vserver when there are a lot of relationships
Currently the edge labels are retrieved for each vertex a
and b and the performance of the GET with relationships will be
propotional to the GET request and how many cousin edges it has
and the more cousin edges there are the more slower the response time
will be as for each cousin vertex its trying to get the edge in between
so the code is modified to only go to the database for the edge label
when there are multiple edge labels (cousin edges) between a and b
If there are only one edge label and its a cousin vertex then we
can use the edge rule to be able to figure out the edge label
Improve PUT on the cloud region by modifying the getEdgesBetween
method which currently was retrieving all the parent
child edges between a and b and then only using the first edge
The traversal itself was too complicated and was costly in terms of
database retrieval and calls and optimized the code to utilize the
edge information so we can modify the query to db at runtime
based on the information provided so when a 10000 vservers under a
tenant adding a new vserver under tenant would be slow because of the
old query performance as it was taking some time there but with this
optimization, its only spending at most a millisecond or 2 in that
method
Also noticed that when a PUT operation takes place, the method
calls the related objects to create a dmaap event which was in turn
calling the findParents and actually utilizing the parents to create the
dmaap event and would spend quite a lot of time here because of the
expensive call of the findParents in this case we need those vertexes
So optimized the code so based on a given vertex, we have the aai-uri
and the newly added metadata uriTemplate to break the aai-uri into
its parent aai-uri and grand parent aai-uri and so forth
With this breakdown, we can get the list of aai-uris which are parents,
grandparents and then use the aai-uri to look them up which is O(1)
lookup time due to the fact they are unique indexes
The time it takes when doing a traversal to find the parents is
propotional to the number of edges but this will be optimistic
Another area which was improved was the json path execution of the
edge rules so when the edge rules get loaded into memory it creates a
document object, it utilizes the jsonpath to query information about
the edge rules but the only thing here is each time it gets called
the query gets invoked and uses jsonpath to retrieve the edge rules when
we can cached them based on the filter so that the user executed and if
the filter is the same as before, the expected edge rules will return
the same
Too much time was spent making the query and retrieving and building the
edgerules
So a cache is a perfect way to optimize this part
Issue-ID: AAI-1987
Change-Id: Ieb8237de3fd31136ceac14bf4a8216a7ab3b7179
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Issue-ID: AAI-1523
re-indent code with spaces to clean up some checkstyle warnings
for aai-schema-ingest (part of 24k lines of output)
Change-Id: I1d3785fcbfa9cc53680129506daa2c392950de31
Signed-off-by: Keong Lim <keong.lim@huawei.com>
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Change-Id: I46029a19b3f495bebdf714b26c72739355dda8e8
Issue-ID: AAI-1559
Signed-off-by: Mohamed Asgar Samiulla <sammoham@in.ibm.com>
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Integrate the aai-core into using the aai-schema-ingest
library to be agnostic to the schema changes
Remove any references to aai-schema dependency in aai-core
Reorder the components so the aai-schema-ingest is first installed
Moved the edge rules to the aai-schema as they are linked to schema
Rework the generation of the aai-schema to using aai-schema-ingest library
Also remove the yaml and html folders as they get generated on the fly
So when maven pushes the aai-schema jar, the jar contains the generated
yaml, html and xsd files at runtime due to the gerrit limit of filesize
Issue-ID: AAI-1455
Change-Id: I87ecd9eb2fc96a09d3a6399955637674f6e7fb21
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Removed unusued imports
Change-Id: I84984a566d339a1b366fa14eb387b21d94c14a34
Issue-ID: AAI-1347
Signed-off-by: Wiktor Garbarek <wiktor.garbarek@nokia.com>
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Issue-ID: AAI-879
Change-Id: I028547c97450372252b76286a8b10f4dbed4d2bf
Signed-off-by: Threefoot, Jane (jt6620) <jt6620@att.com>
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Issue-ID: AAI-856
Change-Id: I6711ff48314133abd7d03ea4b73a4f55606442bb
Signed-off-by: Kajur, Harish (vk250x) <vk250x@att.com>
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Fixed bug where users had to have schemaIngest.properties
on the classpath even if they were using schemaIngestPropLoc
instead.
Issue-ID: AAI-887
Change-Id: Id8f15871f945d0a575203f7c3ce0679b6dbb2242
Signed-off-by: Threefoot, Jane (jt6620) <jt6620@att.com>
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New, lightweight, configurable library for
OXM and edge rules json ingest.
Allows for broken-up OXM and json
for increased model-driven capabilities.
Issue-ID: AAI-875
Change-Id: I987c7dc2ad9a68ef3ccaac8da8d3b5b0205dc264
Signed-off-by: Threefoot, Jane (jt6620) <jt6620@att.com>
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