>From my past experience with Spark Data Frame API, the thick client approach
leads to many usability problems.
Ex.
http://apache-ignite-users.70518.x6.nabble.com/Local-node-SEGMENTED-error-causing-node-goes-down-for-no-obvious-reason-td25061.html
I think it makes a lot of sense to change to thin
When user performs column and index modification operation in SQL(ex create
index, drop index, add column, drop column), QueryEntity in
CacheConfiguration for the modified cache is not updated.
Here's my analysis
QueryEntity in QuerySchema is a local copy of the original QueryEntity, so
the ori
Currently, when user performs add/remove column DDL, the QueryEntity will not
change.
This result in Spark getting wrong schema because Spark relies on
QueryEntity to construct data frame schema.
In Vladimir Ozerov's reply in dev list,
http://apache-ignite-developers.2346864.n4.nabble.com/Schema-
Hi Nikolay,
Could you also implement the DataFrame support for spark-2.10 module?
There's still some legacy users who still uses spark 1.6, they need
DataFrame feature too.
Thanks
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Hi Nikolay,
Could you also implement the DataFrame support for spark-2.10 module?
There's some legacy spark users still using Spark 1.6, they need the
DataFrame features too.
Thanks
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Currently the only way to join data is nested loops approach stated in this
two tickets.
https://issues.apache.org/jira/browse/IGNITE-6201
https://issues.apache.org/jira/browse/IGNITE-6202
So we can anticipate the SQL join performance will degrade a lot after the
data size reached certain amount.
Hi Vladimir,
What's the purpose of this ticket?
Does it mean in the future Ignite will have its own SQL parser instead of
H2's parser Ignite is using now?
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Hi Vladimir,
Thanks for the reply.
Is there any roadmap for this new execution engine?
For example, in version 2.4 the new engine will process select commands and
the rest commands will still be handled by H2.
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Hello Ignite community,
I'd like to do an enhancement on Ignite, my JIRA id is ldzhjn.
Please grant permissions.
Thanks
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Hello Alexey,
My jira id is ldz, sorry for the confusion.
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Spark released its newest version 2.3.0 on Feb 28th, so I'd like to open a
discussion about whether we should upgrade Ignite Spark module to to the
latest version.
In the release notes
https://spark.apache.org/releases/spark-release-2-3-0.html, spark 2.3
introduced many useful new features and as w
I try to run an Ignite ndoe inside Intellij Idea for debug reasons.
I ran the mvn clean install -Pall-java,all-scala,licenses -DskipTests
command from devnotes and it completed without error.
But when I try to run Ignite node from this class CommandLineStartup and
selected default xml config.
But I
I tried change .level=INFO to FINE in config/java.util.logging.properties
file and disable quite mode using -DIGNITE_QUIET=false, but it still didn't
work and there's no DEBUG or TRACE level log in the console.
Please advice me how to turn debug log on in Intellij Idea console for
ignite core modul
Thanks for the reply.
But your approach seems only to be working for tests in Ignite core module.
What I'm looking for is a way to open DEBUG mode when starting an Ignite
node from
modules/core/src/main/java/org/apache/ignite/startup/cmdline/CommandLineStartup.java.
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Hello Vladimir.
>From the https://apacheignite-sql.readme.io/docs/query-cancellation, it is
only possible to cancel select query in java API.
So select query submitted from thin client(sqlline)/jdbc/odbc is not
cancellable, is my understanding correct?
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Thanks for the reply, Vladimir.
Is there a ticket to track the cancel feature described by you?
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Not yet.
I tried your way, but seems it's not working.
The default logger is JavaLogger when I started Ignite node from
CommandLineStartup.
And the ignite core module does not contain Log4JLogger so it will not load
\ignite\config\ignite-log4j.xml.
I tried adding the ignite-log4j module into igni
scala 2.10.
https://issues.apache.org/jira/browse/SPARK-19810
Also, please find the dev list discussion thread here.
http://apache-ignite-developers.2346864.n4.nabble.com/Discussion-Upgrade-Ignite-Spark-Module-s-Spark-version-to-2-3-0-td30762.html
Ray
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Hi Dmitriy,
Thanks for the reply.
I have resolved conflicts in PR and changed the ticket status to path
available.
Please review and leave comments.
Thanks
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Before spark 2.3, spark is compiled using scala 2.11 and 2.10 separately.
Spark-2.10 module in Ignite exists to accommodate this, it's not used
anywhere else in project.
Now spark 2.3 decided to remove support for scala 2.10, so we can safely
remove spark-2.10 module in Ignite.
It won't affect vis
Igniters,
Can you squeeze this ticket into 2.6 scope?
https://issues.apache.org/jira/browse/IGNITE-8534
As ignite-spark module is relatively independent module, and there're
already two users in the user list trying to use spark 2.3 with Ignite last
week only.
http://apache-ignite-users.70518.x6
Hi Saikat,
The results flink calculated before sending to sink is correct, but the
results in Ignite is not correct.
You can remove the sink and print the stream content to validate my point.
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Hello, Igniters.
Is there any specific reason why this ticket is removed from 2.7 scope?
I think this ticket is important for both usability and performance.
Without this ticket, we have to create an index manually identical to
primary key if we want to use SQL query.
https://issues.apache.org/ji
Ray created IGNITE-10314:
Summary: QueryEntity is not updated when column and index added or
dropped
Key: IGNITE-10314
URL: https://issues.apache.org/jira/browse/IGNITE-10314
Project: Ignite
Issue
Ray created IGNITE-10356:
Summary: JDBC thin driver returns wrong data type for Date and
Decimal SQL type
Key: IGNITE-10356
URL: https://issues.apache.org/jira/browse/IGNITE-10356
Project: Ignite
Ray created IGNITE-10569:
Summary: Null meta information when getting meta for a customized
schema cache through JDBC driver
Key: IGNITE-10569
URL: https://issues.apache.org/jira/browse/IGNITE-10569
Project
Ray created IGNITE-10585:
Summary: JDBC driver returns Double in column metadata for Float
type
Key: IGNITE-10585
URL: https://issues.apache.org/jira/browse/IGNITE-10585
Project: Ignite
Issue Type
Ray created IGNITE-8534:
---
Summary: Upgrade Ignite Spark Module's Spark version to 2.3.0
Key: IGNITE-8534
URL: https://issues.apache.org/jira/browse/IGNITE-8534
Project: Ignite
Issue Type: Improv
Ray created IGNITE-8697:
---
Summary: Flink sink throws java.lang.IllegalArgumentException when
running in flink cluster mode.
Key: IGNITE-8697
URL: https://issues.apache.org/jira/browse/IGNITE-8697
Project
Ray Liu created IGNITE-10818:
Summary: GridQueryTypeDescriptor should have cacheName and alias
field
Key: IGNITE-10818
URL: https://issues.apache.org/jira/browse/IGNITE-10818
Project: Ignite
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