Interview editing question - is there a better way than what I am doing?

I've got a skype interview I am editing, and I want to cut between a side by side shot (shown below, exhibit A) and a centered full screen shot (shown below, exhibit B).
I need to keep the audio and images synced across all shots. Additionally, I'll have a motion background that I want to keep synced as well.
What I am planning to do is just stack all the shots on top of each other, so that all the motion and audio stays in sync.
Then to change between shots, I was thinking I might just "Blade all" at the spot in time where I want the different angle, and then delete the unwanted portion of footage.
I wonder if there is an easier way?
Actually in thinking about it, I wonder if I can take the two side by side shots, make a compound shot, then combine that shot back with the two orignals for a multicam clip?
If that works, it would be easier for sure!.
Any other ways this would commonly be achieved?
Oh and one more question...
My whole reason for wanting to switch from the side by side view to the individual views, is that I want to put in some lower thirds and I couldn't come up with a good way to do that on the side by side and have it look right - Are there any commonly accepted techniques for dealing with lower thirds with side by side interview footage?
Exhibit A:
Exhibit B:

Thanks Russ H and Ross H!
I'm finding Multicam, combined with Compound Clips to be extrememly efficient.
I started with 2 different video clips, along with 2 different audio clips.
Layed out both clips side by side (visually, they are on top of each other on the timeline),and made that a single compound clip.
Then I laid out both audio clips on top of each other on the timeline and made those a compound clip.
So now I have
2 original individual Video shots
1 compound video shot of the 2 above side by side.
2 original audio tracks
1 compound audio track
Next I made a multicam track, and added to it all 3 video shots (2 original + 1 compound) And I added the compound audio track. I set that audio track to be "the" track.
It's just a little bit of setup, but really not that bad, and the ability to use the multicam feature to switch between shots, while keeping everything in sync is fantastic!
- Jack

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Stephen Bennett wrote:
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Hi,
Summary:
Can anyone offer advice on how best to use JDO to perform
projection/aggregate queries? Is there a better way of doing what is
described below?
Details:
The web application I'm developing includes a GUI for ad-hoc reports on
JDO's. Unlike 3rd party tools that go straight to the database we can
implement business rules that restrict access to objects (by adding extra
predicates) and provide extra calculated fields (by adding extra get methods
to our JDO's - no expression language yet). We're pleased with the results
so far.
Now I want to make it produce reports with aggregates and projections
without instantiating JDO instances. Here is an example of the sort of thing
I want it to be capable of doing:
Each asset has one associated t.description and zero or one associated
d.description.
For every distinct combination of t.description and d.description (skip
those for which there are no assets)
calculate some aggregates over all the assets with these values.
and here it is in SQL:
select t.description type, d.description description, count(*) count,
sum(a.purch_price) sumPurchPrice
from assets a
left outer join asset_descriptions d
on a.adesc_no = d.adesc_no,
asset_types t
where a.atype_no = t.atype_no
group by t.description, d.description
order by t.description, d.description
it takes <100ms to produce 5300 rows from 83000 assets.
The nearest I have managed with JDO is (pseodo code):
perform projection query to get t.description, d.description for every asset
loop on results
if this is first time we've had this combination of t.description,
d.description
perform aggregate query to get aggregates for this combination
The java code is below. It takes about 16000ms (with debug/trace logging
off, c.f. 100ms for SQL).
If the inner query is commented out it takes about 1600ms (so the inner
query is responsible for 9/10ths of the elapsed time).
Timings exclude startup overheads like PersistenceManagerFactory creation
and checking the meta data against the database (by looping 5 times and
averaging only the last 4) but include PersistenceManager creation (which
happens inside the loop).
It would be too big a job for us to directly generate SQL from our generic
ad-hoc report GUI, so that is not really an option.
KodoQuery q1 = (KodoQuery) pm.newQuery(Asset.class);
q1.setResult(
"assetType.description, assetDescription.description");
q1.setOrdering(
"assetType.description ascending,
assetDescription.description ascending");
KodoQuery q2 = (KodoQuery) pm.newQuery(Asset.class);
q2.setResult("count(purchPrice), sum(purchPrice)");
q2.declareParameters(
"String myAssetType, String myAssetDescription");
q2.setFilter(
"assetType.description == myAssetType &&
assetDescription.description == myAssetDescription");
q2.compile();
Collection results = (Collection) q1.execute();
Set distinct = new HashSet();
for (Iterator i = results.iterator(); i.hasNext();) {
Object[] cols = (Object[]) i.next();
String assetType = (String) cols[0];
String assetDescription = (String) cols[1];
String type_description =
assetDescription != null
? assetType + "~" + assetDescription
: assetType;
if (distinct.add(type_description)) {
Object[] cols2 =
(Object[]) q2.execute(assetType,
assetDescription);
// System.out.println(
// "type "
// + assetType
// + ", description "
// + assetDescription
// + ", count "
// + cols2[0]
// + ", sum "
// + cols2[1]);
q2.closeAll();
q1.closeAll();

Neil,
It sounds like the problem that you're running into is that Kodo doesn't
yet support the JDO2 grouping constructs, so you're doing your own
grouping in the Java code. Is that accurate?
We do plan on adding direct grouping support to our aggregate/projection
capabilities in the near future, but as you've noticed, those
capabilities are not there yet.
-Patrick
Neil Bacon wrote:
Hi,
Summary:
Can anyone offer advice on how best to use JDO to perform
projection/aggregate queries? Is there a better way of doing what is
described below?
Details:
The web application I'm developing includes a GUI for ad-hoc reports on
JDO's. Unlike 3rd party tools that go straight to the database we can
implement business rules that restrict access to objects (by adding extra
predicates) and provide extra calculated fields (by adding extra get methods
to our JDO's - no expression language yet). We're pleased with the results
so far.
Now I want to make it produce reports with aggregates and projections
without instantiating JDO instances. Here is an example of the sort of thing
I want it to be capable of doing:
Each asset has one associated t.description and zero or one associated
d.description.
For every distinct combination of t.description and d.description (skip
those for which there are no assets)
calculate some aggregates over all the assets with these values.
and here it is in SQL:
select t.description type, d.description description, count(*) count,
sum(a.purch_price) sumPurchPrice
from assets a
left outer join asset_descriptions d
on a.adesc_no = d.adesc_no,
asset_types t
where a.atype_no = t.atype_no
group by t.description, d.description
order by t.description, d.description
it takes <100ms to produce 5300 rows from 83000 assets.
The nearest I have managed with JDO is (pseodo code):
perform projection query to get t.description, d.description for every asset
loop on results
if this is first time we've had this combination of t.description,
d.description
perform aggregate query to get aggregates for this combination
The java code is below. It takes about 16000ms (with debug/trace logging
off, c.f. 100ms for SQL).
If the inner query is commented out it takes about 1600ms (so the inner
query is responsible for 9/10ths of the elapsed time).
Timings exclude startup overheads like PersistenceManagerFactory creation
and checking the meta data against the database (by looping 5 times and
averaging only the last 4) but include PersistenceManager creation (which
happens inside the loop).
It would be too big a job for us to directly generate SQL from our generic
ad-hoc report GUI, so that is not really an option.
KodoQuery q1 = (KodoQuery) pm.newQuery(Asset.class);
q1.setResult(
"assetType.description, assetDescription.description");
q1.setOrdering(
"assetType.description ascending,
assetDescription.description ascending");
KodoQuery q2 = (KodoQuery) pm.newQuery(Asset.class);
q2.setResult("count(purchPrice), sum(purchPrice)");
q2.declareParameters(
"String myAssetType, String myAssetDescription");
q2.setFilter(
"assetType.description == myAssetType &&
assetDescription.description == myAssetDescription");
q2.compile();
Collection results = (Collection) q1.execute();
Set distinct = new HashSet();
for (Iterator i = results.iterator(); i.hasNext();) {
Object[] cols = (Object[]) i.next();
String assetType = (String) cols[0];
String assetDescription = (String) cols[1];
String type_description =
assetDescription != null
? assetType + "~" + assetDescription
: assetType;
if (distinct.add(type_description)) {
Object[] cols2 =
(Object[]) q2.execute(assetType,
assetDescription);
// System.out.println(
// "type "
// + assetType
// + ", description "
// + assetDescription
// + ", count "
// + cols2[0]
// + ", sum "
// + cols2[1]);
q2.closeAll();
q1.closeAll();

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is there any better way to do this?

sorry for not defining it better
2A ={ a + a' | a,a' E A}
that means for A = { 0 1 3} , 2A ={ 0 1 2 3 4 6}
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