mongo-connector | MongoDB data stream pipeline tools by YouGov | Pub Sub library
kandi X-RAY | mongo-connector Summary
kandi X-RAY | mongo-connector Summary
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
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Top functions reviewed by kandi - BETA
- Return a list of configuration options
- Merge namespace options
- Validate namespace options
- Add CLI options
- Start the oplog thread
- Return the namespace for a given plain source namespace
- Given a plain source namespace return a Namespace object
- Determine if an entry should be skipped
- Read the last checkpoint from oplog
- Log startup information
- Update document with given spec
- Map command to MongoDB
- Decorator to wrap an exception
- Remove document from MongoDB
- Yield all documents that match the given ts
- Insert a file into the database
- Get the most recent doc from the collection
- Create a RegexSet from a list of namespaces
- Register a new Namespace and command
- Bulk upsert documents
- Parse the command line arguments
- Rolls the last document to the oplog
- Run MongoDB
- Setup logging
- Create a connection object from a configuration
- Find fields in a document
mongo-connector Key Features
mongo-connector Examples and Code Snippets
Lines of Code : 140
License : No License
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{
"my_mongo_database":{
"my_mongo_collection":{
"pk":"id",
"indices":[
"UNIQUE INDEX subproperty_idx ON my_postgre_table(subproperty)"
],
"_i
load_entry_point('mongo-connector==2.3', 'console_scripts', 'mongo-connector')()
File "/Library/Python/2.7/site-packages/mongo_connector-2.3-py2.7.egg/mongo_connector/util.py", line 85, in wrapped
func(*args, **kwargs)
File "/Library/Py mvn install
java -jar target/mongo-postgresql-streamer*.jar
PUT /your_index/_mapping
{
"properties": {
"name": {
"type": "keyword",
"ignore_above": 256,
"fields": {
"str_search_analyzer": {
"type": "text",
"analyzer": "str_search_analyzer"
import pyspark.sql.functions as sfunc
from pyspark.sql.types import *
# This user defined function creates from an str ID like "5b8f7fe430c49e04fdb91599"
# the following Object : { "oid" : "5b8f7fe430c49e04fdb91599"}
# which will be recogspark.driver.extraClassPath /opt/mongo-spark-connector_2.11-2.0.0.jar,/opt/mongo-java-driver-3.2.2.jar
spark.executor.extraClassPath /opt/mongo-spark-connector_2.11-2.0.0.jar,/opt/mongo-java-driver-3.2.2.jar
spark.driver.extraLibraryPath /df = sqlContext.read.format("com.mongodb.spark.sql.DefaultSource")
.option("spark.mongodb.input.uri", "mongodb://host101:27017/dbName.collName").load()
df.first()
> Row(_id=1.0, age=10.0, foo=20.0)
# Create a dataframe spark = SparkSession \
.builder \
.appName("data_pull") \
.master("local") \
.config("spark.mongodb.input.partitioner" ,"MongoPaginateBySizePartitioner") \
.getOrCreate()
Community Discussions
Trending Discussions on mongo-connector
QUESTION
I have created a build of https://github.com/mongodb/mongo-kafka
But how does this run to connect with my running kafka instance.
Even how stupid this question sound. But there is no documentation seems to be available to make this working with locally running replicaset of mongodb.
All blogs point to using mongo atlas instead.
If you have a good resource, please guide me towards it.
UPDATE 1 --
Used maven plugin - https://search.maven.org/artifact/org.mongodb.kafka/mongo-kafka-connect
Placed it in kafka plugins, restarted kafka.
UPDATE 2 -- How to enable mongodb as source for kafka?
https://github.com/mongodb/mongo-kafka/blob/master/config/MongoSourceConnector.properties
file to be used as a configuration for Kafka
...ANSWER
Answered 2020-Dec-22 at 19:49Port 8083 is Kafka Connect, which you start with one of the connect-*.sh scripts.
It is standalone from the broker, and properties do not get set from kafka-server-start
QUESTION
Im writing a custom doc manager for mongo-connector to replicate mongodb documents to neo4j. Here I would like to create bulk relationships. Im using py2neo2020.0.
It seems there are some options in previous versions but not in this version. Is there any way to create bulk nodes and relationships in py2neo
...ANSWER
Answered 2020-Dec-19 at 12:04I am currently working on bulk load functionality. There will be some new functions available in the next release. Until then, Cypher UNWIND...CREATE queries are your best bet for performance.
QUESTION
I am connecting MongoDB with solr,
Following this document for integration: https://blog.toadworld.com/2017/02/03/indexing-mongodb-data-in-apache-solr
DB.Collection: solr.wlslog
D:\path to solr\bin>
...ANSWER
Answered 2020-Jun-17 at 12:38Finally the issue is resolved :)
My system OS is windows and i have installed mongodb in C:\Program Files\MongoDB\ (system's drive),
Before this mongo-connector connection, i have initiated replica set for mongodb using below command as per this blog:
QUESTION
I am using kafka connect in order to read data from mongo and write them to kafka topic.
I am using the mongo kafka source connector.
I am getting the following error :
...ANSWER
Answered 2020-Mar-01 at 19:26Im creating this answer as I tooksome time to find out the solution, as pointed out by scalacode, the easiest solution is to download the jar from confluent, not from maven.
QUESTION
New to elasticsearch and mongodb, i ma facing problem ingesting data from mongodb to es in bulk indexing. To sync up the data i m using mongo-connector and elastic2-doc-manager. I am able to successfuly ingest data from one collection. But when it comes to metadata collections created by django2_tables in the mongodb. Elasticsearch errors out. By the way it worked fine earlier not sure why and how. Perhaps i m missing or forgot some es bulk configuration. Any help would be highly appreciated.
Thanks, Attaching logs from elasticsearch and mongo-connector. log from elasticsearch:
...ANSWER
Answered 2020-Jan-24 at 01:25In recent versions, elasticsearch only supports one mapping type per index. Here are the details.
The issue you are facing is still open: https://github.com/yougov/mongo-connector/issues/770
Here is a potential workaround. If this won´t work, consider downgrading ES to version 5.X, where multiple mappings have been allowed. After the import from mongo, you will be able to upgrade to version 6.X. Here is some background.
QUESTION
Currently I've indexed my mongoDB collection into Elasticsearch running in a docker container. I am able to query a document by it's exact name, but Elasticsearch is unable to match the query if it is only part of the name. Here is an example:
...ANSWER
Answered 2020-Jan-22 at 01:33Updated after checked your gist:
You need to apply the mapping to your field as written in the doc, cf the first link I share in the comment.
You need to do it after applying the settings on your index according to the gist it's line 11.
Something like:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install mongo-connector
You can use mongo-connector like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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