My system configuration
A very lightweight semi-twitter clone programmed in Javascript and running on a strong dose of Node.js
The backend for our Furby based hack at CHD SF 2014
carlsverre/damn-simple-dns-proxy 4
For great justice
FlickrFortune is an innovative way of twisting together the massive power of the FlickrAPI and the often overlooked insight of fortune. It combines insightful (or humorous) quotes with Flickr images to create wallpapers on the fly.
JavaScript and CSS Asset Compression for Production Rails Apps
Bartlett Quote Engine
carlsverre/bash_achievements 1
Sorta like git achievements but for bash
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Carlsverre's Github Page
My standard library additions
issue commentfreecinc/freecinc-issues
Thanks for fixing this so quickly! :fire:
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issue commentfreecinc/freecinc-issues
Oh it looks like you switched to DO. Bummer - hopefully it's something simple.
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issue openedfreecinc/freecinc-issues
Seems like it's down. Another GKE issue?
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issue commentmemsql/memsql-spark-connector
V3 is too slow as compared to V2
Thanks for the reply - we will investigate, repro, and get back to you soon.
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issue commentmemsql/memsql-spark-connector
V3 is too slow as compared to V2
Thanks for the confirmation. Can you provide an example of how you are writing data? I assume you are using the same driver code to load data using each of the connector versions? Also please provide details on the following questions:
- are you using the
on duplicate keyfeature - which compression setting are you using
- provide a list of all non-sensitive (i.e. password) memsql configuration variables for each of the driver versions
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issue commentmemsql/memsql-spark-connector
V3 is too slow as compared to V2
@DeanJain thanks for the report! Can you try using the latest version of our connector (3.0.5)? We fixed a pretty big issue related to large scale ingest which may directly address this problem. If that doesn't help can you:
- experiment with different compression settings
- confirm whether or not you are using the
on duplicate keyfeature
Thanks!
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issue commentmemsql/memsql-spark-connector
load balancing for data ingestion is not working with multi aggregators
Commit for reference: https://github.com/memsql/memsql-spark-connector/commit/c74118dc05789d0229b2127f13a79c478effc012
comment created time in 5 days
issue closedmemsql/memsql-spark-connector
load balancing for data ingestion is not working with multi aggregators
even after setting right config as per doc, the ingestion load from spark connector is only going to one aggregator only from spark connector.
config set: spark.conf.set("spark.datasource.memsql.ddlEndpoint", "memsql-master.cluster.internal") spark.conf.set("spark.datasource.memsql.dmlEndpoints", "memsql-master.cluster.internal,memsql-child-1.cluster.internal:3307")
ran job multiple times and all the load infile commands are going to same aggregator.
closed time in 5 days
DeanJainissue commentmemsql/memsql-spark-connector
load balancing for data ingestion is not working with multi aggregators
Will be fixed in the next release (should be today). Thanks for the bug report!
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pull request commentmemsql/memsql-spark-connector
Bump spark-daria and spark-fast-tests versions
Thanks!
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