Page History
| Easy Heading Free | ||||||
|---|---|---|---|---|---|---|
|
Introduction
The Job Summarizer Executor can process the table data contained in an Aspire job and fetch the associated rows from an Elasticsearch index. Each extracted row will be processed by the summarizers attached to the job.
Job-based summarization
The Job Summarizers executor allows to summarize summarizing data based on the table structue structure contained by a job.
Example of supported table structure:
| Code Block | ||
|---|---|---|
| ||
{
"container": {
"repItemType": "aspire/folder",
"seed": {
"description": "s3",
"id": "a8c0c88a-d3b4-42fb-b27d-57137ab85154",
"type": "s3",
"properties": {
"tag1": "value1",
"seed": "/qa-s3-storage/test-level1/split container/",
"processSplitFiles": "true",
"usePrefixesForSplitCheck": "true",
"splitCheckPrefix": "part-"
},
"tags": [
"darwin"
]
},
"isContainer": "TYPE-NOT-PROVIDED",
"connectorSpecific": {
"skippedRows": "0",
"rowCount": "32622",
"childId": [
"/qa-s3-storage/test-level1/split container/part-00000-d91360fd-0995-4af2-9998-39454c778297-c000.parquet",
"/qa-s3-storage/test-level1/split container/part-00002-d91360fd-0995-4af2-9998-39454c778297-c000.parquet",
"/qa-s3-storage/test-level1/split container/part-00001-d91360fd-0995-4af2-9998-39454c778297-c000.parquet"
]
},
"title": "split container",
"url": "/qa-s3-storage/test-level1/split container/",
"samples": [{
"Column1": "text",
"Column2": null,
"Column3": 5,
"Column4": "text"
"Column5": "745286400000000"
},
],
"displayurl": "/qa-s3-storage/test-level1/split container/",
"crawlStart": "2022-06-07T19:58:20Z",
"ingestionEnd": "2022-06-07T19:58:54Z",
"submitTime": "2022-06-07T19:58:55+0000",
"ingestionStart": "2022-06-07T19:58:50Z",
"dataProfile": {
"columns": [{
"technical_tags": "OPTIONAL",
"nullCount": "0",
"column_type": "STRING",
"columnName": "Column1",
"uniqueCount": "50"
}, {
"technical_tags": "OPTIONAL",
"nullCount": "8472",
"column_type": "STRING",
"columnName": "Column2",
"uniqueCount": "154"
}, {
"technical_tags": "OPTIONAL",
"minValue": "0.0",
"maxValue": "33.0",
"meanValue": "11.41498260725533",
"nullCount": "8472",
"column_type": "INT32",
"stdDev": "3.785881246274845",
"columnName": "Column3",
"uniqueCount": "30"
}, {
"technical_tags": "OPTIONAL",
"nullCount": "0",
"column_type": "STRING",
"columnName": "Column4",
"uniqueCount": "3"
}, {
"technical_tags": [
"OPTIONAL",
"AdjustedToUTC",
"MICROS"
],
"column_type": "TIMESTAMP",
"columnName": "Column5"
}
]
}
},
"name": "data-container"
} |
The table structure must contain information regarding the columns, such as the type and name.
Fetch rows from Elasticsearch
The table rows are extracted from an Elasticsearch index, there are two formats of supported rows:
Based on published unique values:
| Code Block | ||
|---|---|---|
| ||
{
"name": "column-value",
"value": {
"pctg": "0.04966430607927895",
"seedId": "a8c0c88a-d3b4-42fb-b27d-57137ab85154",
"count": "1620",
tableId "": "/qa-s3-storage/test-level1/split container/",
"value": "text",
"columnName": "Column1"
}
} |
Single level key-value objects:
| Code Block | ||
|---|---|---|
| ||
{
"Column1": "text",
"Column2": null,
"Column3": 5,
"Column4": "text"
"Column5": "745286400000000"
} |
Rows Filtering
The Job Summarizer Executor has the option to configure a groovy script to filter which rows will be processed.
Example:
| Code Block | ||||
|---|---|---|---|---|
| ||||
// This script must return a boolean.
// The references of the job, doc, component, row and table objects are available.
// Javadoc references
// Row (row) - http://{manager}/javadocs/com/accenture/aspire/services/summarization/Row.html
// Table (table) - http://{manager}/javadocs/com/accenture/aspire/services/summarization/Table.html
row.getBoolean("sensitive") == true |
Overview
Content Tools