From e25dbd200f3002205dc32bda3f32673bf173ac7f Mon Sep 17 00:00:00 2001 From: Ragesh Rajagopalan Date: Wed, 30 Oct 2024 13:59:47 -0700 Subject: [PATCH] Added doc on unnesting JSON array into separate records (#389) --- .../assets/unnested-student-records-json.png | Bin 0 -> 407648 bytes SUMMARY.md | 1 + basics/data-import/README.md | 6 + basics/data-import/unnest-json-array.md | 169 ++++++++++++++++++ 4 files changed, 176 insertions(+) create mode 100644 .gitbook/assets/unnested-student-records-json.png create mode 100644 basics/data-import/unnest-json-array.md diff --git a/.gitbook/assets/unnested-student-records-json.png b/.gitbook/assets/unnested-student-records-json.png new file mode 100644 index 0000000000000000000000000000000000000000..11e40252d91416caa8b5481ed84a8f493cb2bebd GIT binary patch literal 407648 zcmb@uby!s0_cng$5ClX}X;DCl0qF(>1SAz0ngL;`p`<%hKv3yUk?!sm=?3Y}p*y61 z2Yo)@@8|lx??3OOb6qp%%$#%f;jF#(UTfX=z423&m&C^aH 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segment](basics/data-import/segment-upload.md) diff --git a/basics/data-import/README.md b/basics/data-import/README.md index 5cec5c10..d373aed2 100644 --- a/basics/data-import/README.md +++ b/basics/data-import/README.md @@ -84,6 +84,12 @@ This guide shows you how to handle the complex type in the ingested data, such a [complex-type.md](complex-type.md) {% endcontent-ref %} +This guide shows you how to unnest JSON records that are grouped into an array at the root level. + +{% content-ref url="unnest-json-array.md" %} +[unnest-json-array.md](unnest-json-array.md) +{% endcontent-ref %} + This guide shows you how to handle records with dynamic schemas, like JSON log events. {% content-ref url="schema-conforming-transformer.md" %} diff --git a/basics/data-import/unnest-json-array.md b/basics/data-import/unnest-json-array.md new file mode 100644 index 00000000..f0aa5485 --- /dev/null +++ b/basics/data-import/unnest-json-array.md @@ -0,0 +1,169 @@ +--- +description: Unnest JSON records in Apache Pinot. +--- + +# Unnest JSON records +In this example, we would look at un-nesting json records that are batched together as part of a single key at the root +level. We will make use of the [ComplexType](complex-type.md) configs to persist the individual student records as +separate rows in Pinot. + +Consider the following array of student records. +```json +{ + "students": [ + { + "firstName": "Jane", + "id": "100", + "scores": { + "physics": 91, + "chemistry": 93, + "maths": 99 + } + }, + { + "firstName": "John", + "id": "101", + "scores": { + "physics": 97, + "chemistry": 98, + "maths": 99 + } + }, + { + "firstName": "Jen", + "id": "102", + "scores": { + "physics": 96, + "chemistry": 95, + "maths": 100 + } + } + ] +} +``` + + +# Pinot Schema +The Pinot schema for this example would look as follows. + +```json +{ + "schemaName": "students001", + "enableColumnBasedNullHandling": false, + "dimensionFieldSpecs": [ + { + "name": "students.firstName", + "dataType": "STRING", + "notNull": false, + "fieldType": "DIMENSION" + }, + { + "name": "students.id", + "dataType": "STRING", + "notNull": false, + "fieldType": "DIMENSION" + }, + { + "name": "students.scores", + "dataType": "JSON", + "notNull": false, + "fieldType": "DIMENSION" + } + ], + "dateTimeFieldSpecs": [ + { + "name": "ts", + "fieldType": "DATE_TIME", + "dataType": "LONG", + "format": "1:MILLISECONDS:EPOCH", + "granularity": "1:MILLISECONDS" + } + ], + "metricFieldSpecs": [] +} +``` + +# Pinot Table Configuration + +The Pinot table configuration for this schema would look as follows. + +```json +{ + "description": "Pinot table config inferred for: S3", + "type": "PINOT", + "config": { + "tableName": "students001_OFFLINE", + "tableType": "OFFLINE", + "segmentsConfig": { + "deletedSegmentsRetentionPeriod": "7d", + "segmentPushType": "APPEND", + "minimizeDataMovement": false, + "replication": "1", + "timeColumnName": "ts", + "retentionTimeUnit": "DAYS", + "retentionTimeValue": "180" + }, + "tenants": { + "broker": "DefaultTenant", + "server": "DefaultTenant" + }, + "tableIndexConfig": { + "optimizeDictionaryForMetrics": false, + "noDictionarySizeRatioThreshold": 0, + "aggregateMetrics": false, + "columnMajorSegmentBuilderEnabled": true, + "loadMode": "MMAP", + "varLengthDictionaryColumns": [ + "students.firstName", + "students.id", + "students.scores" + ], + "enableDefaultStarTree": false, + "enableDynamicStarTreeCreation": false, + "nullHandlingEnabled": true, + "autoGeneratedInvertedIndex": false, + "createInvertedIndexDuringSegmentGeneration": true, + "rangeIndexVersion": 2, + "optimizeDictionary": false, + "invertedIndexColumns": [ + "students.firstName", + "students.id" + ] + }, + "metadata": {}, + "task": { + "taskTypeConfigsMap": { + + } + }, + "ingestionConfig": { + "complexTypeConfig": { + "fieldsToUnnest": [ + "students" + ] + }, + "transformConfigs": [ + { + "columnName": "ts", + "transformFunction": "now()" + } + ], + "rowTimeValueCheck": true, + "segmentTimeValueCheck": false, + "continueOnError": true, + "batchIngestionConfig": { + "segmentIngestionType": "APPEND", + "consistentDataPush": false + } + }, + "isDimTable": false + } +} +``` + +# Data in Pinot + +Post ingestion, the student records would appear as separate records in Pinot. Note that the nested field `scores` is +captured as a JSON field. + +![Unnested Student Records](../../.gitbook/unnested-student-records-json.png)