update ndjson so workflow matches patterns created (opensearch-projec…

…t#2016) (opensearch-project#2018)

(cherry picked from commit 6094e4c)

Signed-off-by: Adam Tackett <tackadam@amazon.com>
Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Adam Tackett <tackadam@amazon.com>

public/components/getting_started/getting_started_artifacts/csv_file/assets/fluent-bit-csv-upload-1.0.0.ndjson

@@ -1,4 +1,4 @@
 {"attributes":{"description":"upload a csv file example using fluent-bit agent","kibanaSavedObjectMeta":{"searchSourceJSON":"{\"query\":{\"query\":\"\",\"language\":\"kuery\"},\"filter\":[]}"},"title":"fluent-bit-csv-upload","uiStateJSON":"{}","version":1,"visState":"{\"title\":\"fluent-bit-csv-upload\",\"type\":\"markdown\",\"aggs\":[],\"params\":{\"fontSize\":12,\"openLinksInNewTab\":false,\"markdown\":\"# Uploading a CSV File into an OpenSearch Index Using Fluent Bit\\n\\nThis tutorial will guide you through the process of setting up Fluent Bit to monitor a directory for CSV files and upload their contents into an OpenSearch index.\\n\\n## Prerequisites\\n\\n- An OpenSearch instance running and accessible.\\n- Fluent Bit installed on your system.\\n- A directory containing your CSV files.\\n\\n## Step 1: Install Fluent Bit\\n\\n### On Linux:\\n\\n```bash\\ncurl -L https://fluentbit.io/releases/1.8/fluent-bit-1.8.11-linux-x86_64.tar.gz -o fluent-bit.tar.gz\\ntar -xvf fluent-bit.tar.gz\\ncd fluent-bit/bin\\n```\\n\\n### On macOS:\\n\\n```bash\\nbrew install fluent-bit\\n```\\n\\n### On Windows:\\n\\nDownload and extract Fluent Bit from [Fluent Bit releases](https://fluentbit.io/download/).\\n\\n## Step 2: Create Fluent Bit Configuration Files\\n\\n#### Create `fluent-bit.conf`\\n\\nThis is the main configuration file for Fluent Bit. It defines the input source, parser, and output destination.\\n\\n```ini\\n[SERVICE]\\n    Flush        1\\n    Log_Level    info\\n    Parsers_File parsers.conf\\n\\n[INPUT]\\n    Name         tail\\n    Path         /path/to/your/csv/files/*.csv\\n    Parser       csv\\n    Tag          csv\\n    Refresh_Interval 5\\n    Rotate_Wait 30\\n\\n[OUTPUT]\\n    Name         opensearch\\n    Match        *\\n    Host         your-opensearch-host\\n    Port         9200\\n    Index        csv-index\\n    HTTP_User    your-username\\n    HTTP_Passwd  your-password\\n    tls          off\\n    Suppress_Type_Name On\\n    tls.verify   off\\n```\\n\\n### Create `parsers.conf`\\n\\nThis file defines the CSV parser.\\n\\n```ini\\n[PARSER]\\n    Name        csv\\n    Format      regex\\n    Regex       ^(?<timestamp>[^,]+),(?<log_level>[^,]+),(?<message>[^,]+),(?<application>[^,]+),(?<host>[^,]+)$\\n    Time_Key    timestamp\\n    Time_Format %Y-%m-%d %H:%M:%S\\n```\\n\\n### Direct the CSV folder location\\n\\nEnsure this file is in the directory you specified in the `Path` of the `fluent-bit.conf` file.\\n\\n\\n## Step 3: Run Fluent Bit\\n\\nNavigate to the directory containing the Fluent Bit executable and the configuration files. Then, start Fluent Bit with the configuration files.\\n\\n```bash\\n/path/to/fluent-bit/bin/fluent-bit -c /path/to/fluent-bit.conf\\n```\\n\\n## Step 4: Verify Data in OpenSearch\\n\\nAfter starting Fluent Bit, you can verify the data ingestion by accessing OpenSearch and searching for the `csv-index` index.\\n\\nFor example, you can use OpenSearch Dashboards or the OpenSearch API to query the index:\\n\\n### Using OpenSearch Dashboards:\\n\\n1. Open OpenSearch Dashboards in your browser.\\n2. Navigate to the \\\"Discover\\\" tab.\\n3. Select the `csv-index` index pattern.\\n4. Verify that the log data from your CSV files is being ingested and displayed.\\n\\n### Using the OpenSearch API:\\n\\n```bash\\ncurl -X GET \\\"http://your-opensearch-host:9200/csv-index/_search?pretty\\\"\\n```\\n\\n---\\n## Live Testing with Docker Compose\\nIf you prefer to test this setup using Docker Compose, you can use the following docker-compose.yml file to quickly set up an OpenSearch instance along with Fluent Bit:\\n\\nUnder the `getting-started` section you can examine a live docker-compose sample:\\n```yaml\\n/csv_file/getting-started/fluent-bit\\n|-- docker-complete.yml\\n|-- data/\\n    |-- fluent-bit.conf\\n    |-- parsers.conf\\n    |-- logs.csv\\n\\n```\\nUse the [docker-compose](../getting-started/fluent-bit/docker-complete.yml) you can find a complete:\\n\\n`docker compose -f docker-complete.yml up -d` would instantiate the services and start sending the csv sample logs into an index. \\n\"}}"},"id":"0fad8910-43d9-11ef-a69e-0549ba61487e","migrationVersion":{"visualization":"7.10.0"},"references":[],"type":"visualization","updated_at":"2024-07-17T16:55:31.713Z","version":"WzEsMV0="}
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