lambda-arch | Applying Lambda Architecture with Spark Kafka
kandi X-RAY | lambda-arch Summary
kandi X-RAY | lambda-arch Summary
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Top functions reviewed by kandi - BETA
- Main entry point
- Calculate heat map
- Gets the point of interest data
- Get window traffic counts
- Starts streaming
- Returns a map of kafka s parameters
- Starts Spark session
- Compares two Measurements
- Compares this object to another
- Serialize an IoTData object to bytes
- Returns a hashCode of this route
- Convert an array of columns to an IoTData object
- Entry point for the producer
- Compare two IoTData data
- Compare two Measurements
- Update the running sum by the given key
- Filter the streams of the vehicle
- Rounds the given measurement by rounding the coordinates
- Evaluate model
- Convert the dataframe to a model
- Creates the window traffic data object
- Map tuples to TrafficData
- Transform the TrafficData object to TotalTrafficData object
- Transform to POITraData object
- Train the model
- Trigger traffic data message
lambda-arch Key Features
lambda-arch Examples and Code Snippets
Community Discussions
Trending Discussions on lambda-arch
QUESTION
I am trying to build a real-time big data pipeline with the Lambda-Architecture. I have so far been able to create the data ingestion module with Kafka as well as the Batch-Layer with S3 and Redshift. However I can't seem to connect to my kafka server through PySpark. I am very new at Spark and I've looked for solutions around the Internet, but none seem to deal with the Python environment.
Here is my code:
...ANSWER
Answered 2019-Sep-25 at 03:20Thanks to the observatoins from the user pissall I was able to solve the issue. It was a version issue. I got it to run by running pyspark from the terminal with the following command:
QUESTION
I'd like to understand better the consistency model of Spark 2.2 structured streaming in the following case :
- one source (Kinesis)
- 2 queries from this source towards 2 different sinks : one file sink for archive purpose (S3), and another sink for processed data (DB or file, not yet decided)
I'd like to understand if there's any consistency guarantee across sinks, at least under certain circumstances :
- Can one of the sink be way ahead of the other ? Or are they consuming data at the same speed on the source (since its the same source) ? Can they be synchronous ?
- If I (gracefully) stop the stream application, will the data on the 2 sinks consistent ?
The reason is I'd like to build a Kappa-like processing app, with the ability to suspend/shutdown the streaming part when I want to reprocess some history, and, when I resume the streaming, avoid reprocessing something that has already been processed (as being in the history), or missing some (eg. some data that has not been committed to the archive, and then skipped as already processed when the streaming resume)
...ANSWER
Answered 2019-Aug-23 at 00:36One important thing to keep in mind is the 2 sinks will be used from 2 distinct queries, each reading independently from the source. So checkpointing is done per-query.
Whenever you call start
on a DataStreamWriter
that results in a new query and if you set checkpointLocation
each query will have its own checkpointing to track offsets from the sink.
QUESTION
We run PostgreSQL (v9.5) as a Serving DB in a variant of the Kappa architecture:
- Every instance of a compute job creates and populates its own result table, e.g. "t_jobResult_instanceId".
- Once a job finishes, its output table is made available for access. Multiple result tables for the same job type may be in use concurrently.
- When an output table is not needed, it is dropped.
Compute results are not the only kind of tables in this database instance, and we need to take periodic hot backups. Here lies our problem. When tables come and go, pg_dump dies. Here's a simple test that reproduces our failure mode (it involves 2 sessions, S1 and S2):
...ANSWER
Answered 2019-Jan-23 at 09:00That should be possible using the -T
option of pg_dump:
-T table
--exclude-table=table
Do not dump any tables matching thetable
pattern.
The psql
documentation has details about these patterns:
Within a pattern,
*
matches any sequence of characters (including no characters) and?
matches any single character. (This notation is comparable to Unix shell file name patterns.) For example,\dt int*
displays tables whose names begin withint
. But within double quotes,*
and?
lose these special meanings and are just matched literally.A pattern that contains a dot (
.
) is interpreted as a schema name pattern followed by an object name pattern. For example,\dt foo*.*bar*
displays all tables whose table name includesbar
that are in schemas whose schema name starts withfoo
. When no dot appears, then the pattern matches only objects that are visible in the current schema search path. Again, a dot within double quotes loses its special meaning and is matched literally.Advanced users can use regular-expression notations such as character classes, for example
[0-9]
to match any digit. All regular expression special characters work as specified in Section 9.7.3, except for.
which is taken as a separator as mentioned above,*
which is translated to the regular-expression notation.*
,?
which is translated to.
, and$
which is matched literally. You can emulate these pattern characters at need by writing?
for.
,(R+|)
forR*
, or(R|)
forR?
.$
is not needed as a regular-expression character since the pattern must match the whole name, unlike the usual interpretation of regular expressions (in other words,$
is automatically appended to your pattern). Write*
at the beginning and/or end if you don't wish the pattern to be anchored. Note that within double quotes, all regular expression special characters lose their special meanings and are matched literally.
QUESTION
I am using vagrant for first time.
I am trying to download a VM by running "vagrant up" command. corresponding vagrant file is https://github.com/aalkilani/spark-kafka-cassandra-applying-lambda-architecture/tree/master/vagrant
i have a slow internet connection ..., its been around 1 hour i am not sure how much of download has happened .... few questions
- How to check the % of download completed ( i know it will tell me when it reaches 20% ... but how to check % of downloaded )
- Which temp directory does the vagrant download to ( if i have to stop download in between and resume tomorrow ... not sure if i need to cleanup or it will resume from where it left)
I am using Vagrant2.0.0 on windows7
looking forward to learn from your experience.
...ANSWER
Answered 2017-Sep-13 at 06:06Acutally when you execute the vagrant up
in the console, it will show the download processes.
But for your question, all the downloaded boxes are house in "C:\Users\USERNAME\.vagrant.d\boxes" folder.
Baically due to the poor connection, vagrant download the boxes very slow, so it is high recommand to download your base box in http://www.vagrantbox.es/ or https://app.vagrantup.com/boxes/search with the download tool, then you can add it by
vagrant box add
vagrant init
vagrant up
</code></p>
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install lambda-arch
You can use lambda-arch like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the lambda-arch component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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