[jira] [Updated] (SOLR-13621) Visual log parsing and data loading with for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Summary: Visual log parsing and data loading with for Streaming Expressions (was: Visual log parsing and data with for Streaming Expressions) > Visual log parsing and data loading with for Streaming Expressions > -- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, statistical analysis and visualization directly over CSV files > and log files before the data is loaded to Solr. Because of Streaming > Expressions built in paralyzation capabilities this allows Solr Cloud to > behave like a massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier to understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Description: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, statistical analysis and visualization directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier to understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. was: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, statistical analysis and visualization directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, statistical analysis and visualization directly over CSV files > and log files before the data is loaded to Solr. Because of Streaming > Expressions built in paralyzation capabilities this allows Solr Cloud to > behave like a massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier to understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Description: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, statistical analysis and visualization directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. was: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, statistical analysis and visualizations directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, statistical analysis and visualization directly over CSV files > and log files before the data is loaded to Solr. Because of Streaming > Expressions built in paralyzation capabilities this allows Solr Cloud to > behave like a massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Description: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, statistical analysis and visualizations directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. was: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, analysis and visualizations directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, statistical analysis and visualizations directly over CSV files > and log files before the data is loaded to Solr. Because of Streaming > Expressions built in paralyzation capabilities this allows Solr Cloud to > behave like a massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Description: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, analysis and visualizations directly over CSV files and log files before the data is loaded to Solr. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. was: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, analysis and visualizations over CSV files and log files. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, analysis and visualizations directly over CSV files and log > files before the data is loaded to Solr. Because of Streaming Expressions > built in paralyzation capabilities this allows Solr Cloud to behave like a > massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Description: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, analysis and visualizations over CSV files and log files. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. It also allows users to visualize data using Apache Zeppelin as part of loading process, to make it easier understand the data before it's loaded into an index. This ticket will track the sub-tickets for the different log formats that will be supported. was: Streaming Expressions and Math Expressions are now mature on the query side. This includes the ability to query, transform, analyze and visualize data. It's now time to build the data loading and log parsing capabilities to apply the full suite of mathematics and visualizations over log data and CSV files. The design is to have stream sources that read from a file system and stream decorators that parse different file and log formats. The data can be further transformed and joined with other data by stream decorators and sent to any Solr Cloud collection with the update Stream. This design also allows Streaming Expressions to perform regex filtering, aggregations, analysis and visualizations over CSV files and log files. Because of Streaming Expressions built in paralyzation capabilities this allows Solr Cloud to behave like a massively parallel *grep* engine. This ticket will track the sub-tickets for the different log formats that will be supported. > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, analysis and visualizations over CSV files and log files. > Because of Streaming Expressions built in paralyzation capabilities this > allows Solr Cloud to behave like a massively parallel *grep* engine. > It also allows users to visualize data using Apache Zeppelin as part of > loading process, to make it easier understand the data before it's loaded > into an index. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org
[jira] [Updated] (SOLR-13621) Visual log parsing and data loading framework for Streaming Expressions
[ https://issues.apache.org/jira/browse/SOLR-13621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Joel Bernstein updated SOLR-13621: -- Summary: Visual log parsing and data loading framework for Streaming Expressions (was: Log parsing and loading framework for Streaming Expressions) > Visual log parsing and data loading framework for Streaming Expressions > --- > > Key: SOLR-13621 > URL: https://issues.apache.org/jira/browse/SOLR-13621 > Project: Solr > Issue Type: New Feature > Components: streaming expressions >Reporter: Joel Bernstein >Assignee: Joel Bernstein >Priority: Major > > Streaming Expressions and Math Expressions are now mature on the query side. > This includes the ability to query, transform, analyze and visualize data. > It's now time to build the data loading and log parsing capabilities to apply > the full suite of mathematics and visualizations over log data and CSV files. > The design is to have stream sources that read from a file system and stream > decorators that parse different file and log formats. The data can be further > transformed and joined with other data by stream decorators and sent to any > Solr Cloud collection with the update Stream. > This design also allows Streaming Expressions to perform regex filtering, > aggregations, analysis and visualizations over CSV files and log files. > Because of Streaming Expressions built in paralyzation capabilities this > allows Solr Cloud to behave like a massively parallel *grep* engine. > This ticket will track the sub-tickets for the different log formats that > will be supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org For additional commands, e-mail: dev-h...@lucene.apache.org