southpaw | Streaming left joins in Kafka for change data capture | Change Data Capture library
kandi X-RAY | southpaw Summary
kandi X-RAY | southpaw Summary
Southpaw is a tool that creates denormalized records from input records based on hierarchical relationships. These relationships are similar to a LEFT OUTER JOIN defined by the following SQL statement:. In this case 'table_b' is a child relationship of 'table_a.' 'a_key' is equivalent to the parent key and 'b_key' is equivalent to the join key in a child relation. Ultimately, one 'table' is the root relation. The record key in each topic for all input and denormalized records is treated as the primary key, which is used by the various indices and within the denormalized entities themselves.
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Top functions reviewed by kandi - BETA
- Opens the RocksDB state
- Restores a database from a local path
- Lists all keys in a bucket
- Synchronizes a download from S3 to S3
- Main method
- Create a denormalized record
- Creates the denormalized records
- Removes the given foreign key from the cache
- Removes a foreign key
- Read records for the given foreign key
- Convert a byte array to a set of ByteArrays
- Builds an AmazonS3 client
- Flush state to state
- Removes the preceding zeroes from a byte array
- Gets a value from a key space
- Register an output topic
- Creates an output topic for generated records
- Test if two records are equal
- Delete backups
- Configures this class
- Close state
- Add a record to the stream
- Configures the Kafka consumers
- Gets the lag
- Register an input topic
- Backup state
southpaw Key Features
southpaw Examples and Code Snippets
Lines of Code : 83License : Permissive (Apache-2.0)
Copy{
"Record": {
"title": "I'm a playlist!",
"user_id": 4321,
"id": 1234,
},
"Children": {
"user": [{
"Record": {
"usage_type": "monthly",
"user_id": 4321,
[
{
"DenormalizedName": "DeFeed",
"Entity": "playlist",
"Children": [
{
"Entity": "user",
"JoinKey": "user_id",
"ParentKey": "user_id"
},
{
"Entity": "playlist_tag",
"JoinKey": " backup.time.s: 600
commit.time.s: 120
create.records.trigger: 1000000
index.write.batch.size: 25000
topic.lag.trigger: 100
rocks.db.backup.uri: "file:///tmp/RocksDB/southpawBackup"
rocks.db.backups.to.keep: 5
rocks.db.compaction.read.ahead.size: 209 Community Discussions
Trending Discussions on southpaw
QUESTION
this is my first time asking a question here so forgive me if this is not properly formatted.
can somebody please help me understand this error:
cvc-complex-type.2.4.a: Invalid content was found starting with element 'Team'. One of '{"":Player}' is expected.
my .xml file
...ANSWER
Answered 2021-Oct-06 at 04:14Your XML is not well-formed because it has multiple root elements. An XML document may only have a single root element.
Your options to repair this problem:
- Remove all
Teamelements after the first one, or - Wrap all
Teamelements in a single root element such asTeams.
Option #1 would be sufficient alone; option #2 would require the addition of the Teams wrapper element to your XSD.
QUESTION
My dataframe has these 2 columns: "reach" and "height". the column "reach" has a lot of missing value. But the column 'height' have all the value needed. What I see is that reach is often a function of height. Therefore, for the rows with NaN, I want to look at the height, then find another row with the same "height" and that has "reach" available, then copy this value to the 1 with missing value
name SApM SLpM height reach record stance strAcc strDef subAvg tdAcc tdAvg tdDef weight born_year win lose draw nc Justin Frazier 6.11 1.11 6' 0" 75 10-3-0 Southpaw 0.66 0.04 0 0 0 0 265 1989 10 3 0 Gleidson Cutis 8.28 2.99 5' 9" nan 7-4-0 Orthodox 0.52 0.59 0 0 0 0 155 1989 7 4 0 Xavier Foupa-Pokam 2.5 1.47 6' 1" nan 32-22-0 Open Stance 0.43 0.49 0 0 0 0.16 185 1982 32 22 0 Mirko Filipovic 1.89 2.11 6' 2" 73 35-11-2-(1 NC) Southpaw 0.5 0.63 0.3 0.4 0.19 0.78 230 1974 35 11 2 1 Jordan Johnson 2.64 3.45 6' 2" 79 10-0-0 Orthodox 0.47 0.53 1.2 0.42 3.25 1 205 1988 10 0 0 Martin Kampmann 3.28 3.22 6' 0" 72 20-7-0 Orthodox 0.42 0.62 2 0.41 1.86 0.78 170 1982 20 7 0 Darren Elkins 3.05 3.46 5' 10" 71 27-9-0 Orthodox 0.38 0.52 1.1 0.33 2.67 0.56 145 1984 27 9 0 Austen Lane 6.32 5.26 6' 6" nan 2-1-0 Orthodox 0.35 0.6 0 0 0 0 245 1987 2 1 0 Rachael Ostovich 3.97 2.54 5' 3" 62 4-6-0 Orthodox 0.43 0.57 0.8 0.83 2.03 0.66 125 1991 4 6 0 Travis Lutter 2.42 0.41 5' 11" 75 10-6-0 Orthodox 0.32 0.42 0.7 0.24 1.95 0.3 185 1973 10 6 0 Tom Murphy 0.17 2.5 6' 2" nan 8-0-0 Southpaw 0.71 0.84 2.5 0.85 7.51 0 227 1974 8 0 0 Darrell Montague 5.38 1.92 5' 6" 67 13-5-0 Southpaw 0.25 0.52 1.4 0.25 0.72 0.33 125 1987 13 5 0 Lauren Murphy 4.25 3.95 5' 5" 67 15-4-0 Orthodox 0.4 0.61 0.1 0.34 1.16 0.7 125 1983 15 4 0 Bill Mahood 3.59 1.54 6' 3" nan 20-7-1-(1 NC) Orthodox 0.85 0.17 3.9 0 0 0 200 1967 20 7 1 1 Nate Marquardt 2.32 2.71 6' 0" 74 35-19-2 Orthodox 0.49 0.55 0.8 0.51 1.87 0.7 185 1979 35 19 2 Mike Polchlopek 1.33 2 6' 4" nan 1-1-0 Orthodox 0.38 0.57 0 0 0 0 285 1965 1 1 0 Harvey Park 7.21 3.77 6' 0" 70 12-3-0 Orthodox 0.5 0.33 0 0 0 0 155 1986 12 3 0 Junyong Park 3.17 4.37 5' 10" 73 13-4-0 Orthodox 0.47 0.58 0.6 0.57 3.02 0.46 185 1991 13 4 0 Ricco Rodriguez 1.15 1.85 6' 4" nan 53-25-0-(1 NC) Orthodox 0.51 0.61 1 0.39 2.3 0.4 265 1977 53 25 0 1 Aaron Riley 3.78 3.45 5' 8" 69 30-14-1 Southpaw 0.34 0.61 0.1 0.34 1.18 0.6 155 1980 30 14 1 ...ANSWER
Answered 2021-Sep-13 at 15:04I think that a method does not exist to do that in a simple step. If i were in your shoes I would:
- Create a support dataset made up of
height|reachfully populated, in which I would store my best guess values - Join the support dataframe with the existing ones, using
heightas key - Coalesce the values where
NaNappears:df.reach = df.reach.fillna(df.from_support_dataset_height)
QUESTION
The below code is from my NewFighterForm.js file within my app's component folder:
...ANSWER
Answered 2020-Nov-13 at 16:31Yes, destructure lists from the props object and, assuming lists is an array, map as normal JSX. Here I'm assuming the lists array contains element objects that have a value and label property to display from, this will need to be tweaked to fit your actual lists array element shape.
QUESTION
I need to sign documents, but for that I need to pass the password and the certificate path via json
is it really safe to use this? how could i implement these arrays in a php configuration file? so that nobody (external public) has access to the data, I know that php can do that.
I am configuring an api that has the following in its documentation:
...Configuring the API The API configuration is done through a file or even an array in JSON format.
This JSON array contains the data necessary for the API to know where important files are, such as digital certificates and other relevant information.
ANSWER
Answered 2020-Jul-02 at 03:25If you're posting it over https you should be fine and it's not unlike a bearer token. If you include anything in the query string that would be recorded in things like access logs, etc.
Edit: for any question about security, it does depend on how far down the rabbit hole you want to go. POST/PUTing data is more secure than using GET becuase of how it gets processed by the server. But from the question becomes how secure is your server, your ssl setup, etc. So you end up weighing how secure it needs to be based on the importance of the data remaining secure.
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Vulnerabilities
No vulnerabilities reported
Install southpaw
You can use southpaw 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 southpaw 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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