Guido Lena Cota glenacota
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <title>Convert SFIA xlsx to JSON</title> | |
| <script lang="javascript" src="https://cdn.sheetjs.com/xlsx-0.20.2/package/dist/xlsx.full.min.js"></script> | |
| <style>pre { background-color: bisque; font-family: monospace; display: inline-block; }</style> | |
| </head> | |
| <body> |
glenacota
/ elasticsearch-bulk-load-failure
Created
March 15, 2023 14:12
https://stackoverflow.com/questions/75745299/elasticsearch-bulk-load-failure
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| curl --location --request PUT '127.0.0.1:9200/_bulk' \ | |
| --header 'Content-Type: application/json' \ | |
| --data-binary @- << EOF | |
| { "create" : { "_index" : "movies", "_id" : "135569" } } | |
| { "id": "135569", "title" : "Star Trek Beyond", "year":2016 , "genre":["Action", "Adventure", "Sci-Fi"] } | |
| { "create" : { "_index" : "movies", "_id" : "122886" } } | |
| { "id": "122886", "title" : "Star Wars: Episode VII - The Force Awakens", "year":2015 , "genre":["Action", "Adventure", "Fantasy", "Sci-Fi", "IMAX"] } | |
| { "create" : { "_index" : "movies", "_id" : "109487" } } | |
| { "id": "109487", "title" : "Interstellar", "year":2014 , "genre":["Sci-Fi", "IMAX"] } | |
| { "create": { "_index" : "movies", "_id" : "58559" } } |
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| xw-app-todos | INFO: 172.25.0.1:50016 - "POST /todos HTTP/1.1" 307 Temporary Redirect | |
| xw-app-todos | [2020-09-09 15:21:19,950] INFO redisrepo - Saved the todo with id 3 | |
| xw-app-todos | INFO: 172.25.0.1:50016 - "POST /todos/ HTTP/1.1" 200 OK | |
| xw-app-todos | [2020-09-09 15:21:24,324] INFO redisrepo - Fetched the todo with id 2 | |
| xw-app-todos | [2020-09-09 15:21:24,325] INFO redisrepo - Saved the todo with id 2 | |
| xw-app-todos | INFO: 172.25.0.1:50022 - "GET /todos/2/done HTTP/1.1" 200 OK | |
| xw-app-todos | [2020-09-09 15:21:24,354] INFO redisrepo - Fetched the todo with id 2 | |
| xw-app-todos | [2020-09-09 15:21:24,355] INFO redisrepo - Saved the todo with id 2 | |
| xw-app-todos | INFO: 172.25.0.1:50026 - "GET /todos/2/done HTTP/1.1" 200 OK | |
| xw-app-reports | INFO: 172.25.0.1:33568 - "GET /reporto HTTP/1.1" 404 Not Found |
glenacota
/ stackoverflow.com - questions -59947644
Created
January 31, 2020 23:09
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| # Based on the query pusblished in the question, I added the following documents to the index. | |
| [ | |
| { | |
| "@timestamp" : "2020-01-15", | |
| "condition" : "B", | |
| "value" : 10, | |
| "conditionType" : "ABCD" | |
| }, | |
| { |
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| POST _opendistro/_sql?format=csv&separator=%3B | |
| { | |
| "query": "SELECT * FROM *" | |
| } |
glenacota
/ elastic_exercise_eo1_01.json
Created
August 5, 2019 20:51
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| # ** EXAM OBJECTIVE: INSTALLATION AND CONFIGURATION ** | |
| # GOAL: Setup an Elasticsearch cluster that satisfies a given set of requirements | |
| # REQUIRED SETUP: / |
glenacota
/ elastic_exercise_alias_reindex_ingest_pipeline
Last active
March 3, 2019 21:57
An exercise to practice with aliases, reindexing, and ingest pipelines in Elasticsearch.
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| # GOAL: Create an alias, reindex indices, and create ingest pipelines | |
| # INITIAL SETUP: (i) a running Elasticsearch cluster with at least one node and a Kibana instance, (ii) no index or index template that starts by `hamlet` | |
| # Copy-paste the following instructions into your Kibana console, and work directly from there | |
| # Create the indices `hamlet-1` and `hamlet-2`, each with two primary shards and no replicas | |
| # Add some documents to `hamlet-1` by running the following _bulk command | |
| PUT hamlet-1/_doc/_bulk | |
| {"index":{"_index":"hamlet-1","_id":0}} | |
| {"line_number":"1.1.1","speaker":"BERNARDO","text_entry":"Whos there?"} | |
| {"index":{"_index":"hamlet-1","_id":1}} |
glenacota
/ elastic_exercise_index_templates
Last active
March 3, 2019 21:57
An exercise to practice with index templates and dynamic templates in Elasticsearch.
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| # GOAL: Create index templates that satisfy a given set of requirements | |
| # INITIAL SETUP: (i) a running Elasticsearch cluster with at least one node and a Kibana instance, (ii) no index or index template that starts by `hamlet` | |
| # Copy-paste the following instructions into your Kibana console, and work directly from there | |
| # Create the index template `hamlet_template`, so that the template (i) matches any index that starts by "hamlet_" or "hamlet-", (ii) allocates one primary shard and no replicas for each matching index | |
| # Create the indices `hamlet2` and `hamlet_test` | |
| # Verify that only `hamlet_test` applies the settings defined in `hamlet_template` | |
| # In one request, delete both `hamlet2` and `hamlet_test` | |
| # Update `hamlet_template` by defining a mapping for the type "_doc", so that (i) the type has three fields, named `speaker`, `line_number`, and `text_entry`, (ii) `speaker` and `line_number` map to a unanalysed string, (iii) `text_entry` uses an "english" analyzer | |
| # Create the index `hamlet-1` and add some |
glenacota
/ elastic_exercise_index_manipulation
Last active
March 3, 2019 21:58
An exercise to practice with the manipulation of indices in Elasticsearch.
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| # GOAL: Create, update and delete indices while satisfying a given set of requirements | |
| # INITIAL SETUP: (i) a running Elasticsearch cluster with at least one node and a Kibana instance, (ii) no index or index template that starts by `hamlet` | |
| # Copy-paste the following instructions into your Kibana console, and work directly from there | |
| # Create the index `hamlet-raw` with one primary shard and four replicas | |
| # Add a document to `hamlet-raw`, so that the document (i) has id "1", (ii) has default type, (iii) has a field named `line` with value "To be, or not to be: that is the question" | |
| # Update the document with id "1" by adding a field named `line_number` with value "3.1.64" | |
| # Add a new document to `hamlet-raw`, so that the document (i) has no explicit id, (ii) has default type, (iii) has a field named `text_entry` with value "Whether tis nobler in the mind to suffer", (iv) has a field named `line_number` with value "3.1.66" | |
| # Update the last document by setting the value of `line_number` to "3.1.65" | |
| # In one |
glenacota
/ elastic_exercise_cluster_admin
Last active
March 3, 2019 21:56
An exercise to practice with clusters administration in Elasticsearch.
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| # GOAL: Backup and cross-cluster search | |
| # INITIAL SETUP: / | |
| # Download the latest 6.x version of Elasticsearch and Kibana | |
| # Deploy the cluster `eoc-06-earth-cluster`, with one node named `node-earth` | |
| # Connect a Kibana instance to `node-earth` | |
| # Start the cluster | |
| # Create the index `hamlet` and add some documents by running the following _bulk command | |
| PUT hamlet/_doc/_bulk | |
| {"index":{"_index":"hamlet","_id":0}} |
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