[jira] [Comment Edited] (SOLR-9337) Add fetch Streaming Expression
[
https://issues.apache.org/jira/browse/SOLR-9337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15513940#comment-15513940
]
Joel Bernstein edited comment on SOLR-9337 at 9/22/16 5:45 PM:
---
fetch works like this:
1) read N tuples into memory
2) use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join against the entire index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for the node set that is returned, and then running the text classifier on the
node set. This would combine graph queries and AI models to provide very
intelligent recommendations.
was (Author: joel.bernstein):
fetch works like this:
1) read N tuples into memory
2) use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join agains the index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for the node set that is returned, and then running the text classifier on the
node set. This would combine graph queries and AI models to provide very
intelligent recommendations.
> Add fetch Streaming Expression
> --
>
> Key: SOLR-9337
> URL: https://issues.apache.org/jira/browse/SOLR-9337
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
>Reporter: Joel Bernstein
>
> The fetch() Streaming Expression wraps another expression and fetches
> additional fields for documents in batches. The fetch() expression will
> stream out the Tuples after the data has been fetched. Fields can be fetched
> from any SolrCloud collection.
> Sample syntax:
> {code}
> daemon(
>update(collectionC, batchSize="100"
> fetch(collectionB,
> topic(checkpoints, collectionA, q="*:*", fl="a,b,c",
> rows="50"),
> fl="j,m,z",
> on="a=j")))
>
> {code}
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[jira] [Comment Edited] (SOLR-9337) Add fetch Streaming Expression
[
https://issues.apache.org/jira/browse/SOLR-9337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15513940#comment-15513940
]
Joel Bernstein edited comment on SOLR-9337 at 9/22/16 5:44 PM:
---
fetch works like this:
1) read N tuples into memory
2) use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join agains the index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for the node set that is returned, and then running the text classifier on the
node set. This would combine graph queries and AI models to provide very
intelligent recommendations.
was (Author: joel.bernstein):
fetch works like this:
1) read N tuples into memory
2) Use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join agains the index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for the node set that is returned, and then running the text classifier on the
node set. This would combine graph queries and AI models to provide very
intelligent recommendations.
> Add fetch Streaming Expression
> --
>
> Key: SOLR-9337
> URL: https://issues.apache.org/jira/browse/SOLR-9337
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
>Reporter: Joel Bernstein
>
> The fetch() Streaming Expression wraps another expression and fetches
> additional fields for documents in batches. The fetch() expression will
> stream out the Tuples after the data has been fetched. Fields can be fetched
> from any SolrCloud collection.
> Sample syntax:
> {code}
> daemon(
>update(collectionC, batchSize="100"
> fetch(collectionB,
> topic(checkpoints, collectionA, q="*:*", fl="a,b,c",
> rows="50"),
> fl="j,m,z",
> on="a=j")))
>
> {code}
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[jira] [Comment Edited] (SOLR-9337) Add fetch Streaming Expression
[
https://issues.apache.org/jira/browse/SOLR-9337?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15513940#comment-15513940
]
Joel Bernstein edited comment on SOLR-9337 at 9/22/16 5:43 PM:
---
fetch works like this:
1) read N tuples into memory
2) Use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join agains the index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for the node set that is returned, and then running the text classifier on the
node set. This would combine graph queries and AI models to provide very
intelligent recommendations.
was (Author: joel.bernstein):
fetch works like this:
1) read N tuples into memory
2) Use a query to fetch fields for the tuples read in step 1.
3) stream the tuples out
4) repeat steps 1-3 until the underlying stream is EOF
This is essentially a nested loop join agains the index.
Mainly used when one side of the join is very small and you want to join it
against the entire index.
One main use case I have in mind is doing a graph query, fetching text fields
for node set that is returned, and then running the classifier on the node set.
This would combine graph queries and AI models to provide very intelligent
recommendations.
> Add fetch Streaming Expression
> --
>
> Key: SOLR-9337
> URL: https://issues.apache.org/jira/browse/SOLR-9337
> Project: Solr
> Issue Type: New Feature
> Security Level: Public(Default Security Level. Issues are Public)
>Reporter: Joel Bernstein
>
> The fetch() Streaming Expression wraps another expression and fetches
> additional fields for documents in batches. The fetch() expression will
> stream out the Tuples after the data has been fetched. Fields can be fetched
> from any SolrCloud collection.
> Sample syntax:
> {code}
> daemon(
>update(collectionC, batchSize="100"
> fetch(collectionB,
> topic(checkpoints, collectionA, q="*:*", fl="a,b,c",
> rows="50"),
> fl="j,m,z",
> on="a=j")))
>
> {code}
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