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Ejemplos de Apache Arrow
Ejemplos de formato columnar en memoria Apache Arrow para procesamiento de datos y análisis de alto rendimiento
Ejemplos
Entradas de esta colección
JSONjsonSimple
Definición Básica de Esquema Arrow
Ejemplos esenciales de esquema Arrow con tipos de datos primitivos para almacenamiento de datos columnar
Etiquetas
arrow, schema, primitive, data
json
{
"schema": {
"fields": [
{
"name": "id",
"type": "int64",
"nullable": false,
"metadata": {}
},
{
"name": "name",
"type": "string",
"nullable": false,
"metadata": {
"description": "Person name"
}
},
{
"name": "age",
"type": "int32",
"nullable": true,
"metadata": {}
},
{
"name": "email",
"type": "string",
"nullable": true,
"metadata": {}
},
{
"name": "is_active",
"type": "bool",
"nullable": false,
"metadata": {}
},
{
"name": "salary",
"type": "float64",
"nullable": true,
"metadata": {
"unit": "USD"
}
},
{
"name": "created_at",
"type": "timestamp[us]",
"nullable": false,
"metadata": {}
}
],
"metadata": {
"description": "Employee data schema"
}
}
}JSONjsonSimple
Ejemplo de Lote de Registros Arrow
Lote de registros Arrow completo con datos que muestran el diseño de memoria columnar
Etiquetas
arrow, batch, columnar, memory
json
{
"schema": {
"fields": [
{
"name": "product_id",
"type": "int64",
"nullable": false
},
{
"name": "product_name",
"type": "string",
"nullable": false
},
{
"name": "price",
"type": "float64",
"nullable": false
},
{
"name": "in_stock",
"type": "bool",
"nullable": false
}
]
},
"batches": [
{
"count": 4,
"columns": [
{
"name": "product_id",
"type": "int64",
"data": [101, 102, 103, 104]
},
{
"name": "product_name",
"type": "string",
"data": ["Laptop", "Mouse", "Keyboard", "Monitor"]
},
{
"name": "price",
"type": "float64",
"data": [1299.99, 29.99, 79.99, 399.99]
},
{
"name": "in_stock",
"type": "bool",
"data": [true, true, false, true]
}
]
}
]
}JSONjsonIntermedio
Tipos de Datos Complejos Arrow
Esquema Arrow avanzado con tipos anidados, lista y mapa para estructuras de datos complejas
Etiquetas
arrow, complex, nested, struct, list, map
json
{
"schema": {
"fields": [
{
"name": "user_id",
"type": "int64",
"nullable": false
},
{
"name": "profile",
"type": {
"type": "struct",
"fields": [
{
"name": "first_name",
"type": "string",
"nullable": false
},
{
"name": "last_name",
"type": "string",
"nullable": false
},
{
"name": "age",
"type": "int32",
"nullable": true
}
]
},
"nullable": true
},
{
"name": "tags",
"type": {
"type": "list",
"item_type": "string",
"nullable": false
},
"nullable": true
},
{
"name": "metadata",
"type": {
"type": "map",
"key_type": "string",
"value_type": "string",
"value_nullable": true
},
"nullable": true
},
{
"name": "purchase_history",
"type": {
"type": "list",
"item_type": {
"type": "struct",
"fields": [
{
"name": "product_id",
"type": "int64",
"nullable": false
},
{
"name": "timestamp",
"type": "timestamp[us]",
"nullable": false
},
{
"name": "amount",
"type": "decimal(10,2)",
"nullable": false
}
]
},
"nullable": false
},
"nullable": true
}
]
}
}JSONjsonIntermedio
Codificación de Diccionario Arrow
Codificación de diccionario Arrow para almacenamiento eficiente de cadenas y compresión
Etiquetas
arrow, dictionary, encoding, compression
json
{
"schema": {
"fields": [
{
"name": "id",
"type": "int64",
"nullable": false
},
{
"name": "category",
"type": {
"type": "dictionary",
"index_type": "int32",
"value_type": "string",
"ordered": false
},
"nullable": false,
"dictionary": {
"type": "string",
"values": ["Electronics", "Clothing", "Books", "Home", "Sports"]
}
},
{
"name": "status",
"type": {
"type": "dictionary",
"index_type": "int8",
"value_type": "string",
"ordered": true
},
"nullable": false,
"dictionary": {
"type": "string",
"values": ["Active", "Inactive", "Pending", "Deleted"]
}
}
]
},
"batches": [
{
"count": 5,
"columns": [
{
"name": "id",
"type": "int64",
"data": [1, 2, 3, 4, 5]
},
{
"name": "category",
"type": "dictionary[int32]",
"data": [0, 1, 0, 3, 2]
},
{
"name": "status",
"type": "dictionary[int8]",
"data": [0, 0, 2, 0, 1]
}
]
}
]
}JSONjsonComplejo
Datos de Series Temporales con Arrow
Esquema Arrow optimizado para datos de series temporales con tipos temporales y funciones de ventana
Etiquetas
arrow, time-series, temporal, metrics
json
{
"schema": {
"fields": [
{
"name": "timestamp",
"type": "timestamp[ns]",
"nullable": false,
"metadata": {
"timezone": "UTC",
"unit": "nanoseconds"
}
},
{
"name": "metric_name",
"type": "string",
"nullable": false
},
{
"name": "value",
"type": "float64",
"nullable": true,
"metadata": {
"precision": "double"
}
},
{
"name": "tags",
"type": {
"type": "map",
"key_type": "string",
"value_type": "string",
"value_nullable": true
},
"nullable": true
},
{
"name": "window_start",
"type": "timestamp[us]",
"nullable": true
},
{
"name": "window_end",
"type": "timestamp[us]",
"nullable": true
},
{
"name": "aggregation_type",
"type": {
"type": "dictionary",
"index_type": "int8",
"value_type": "string",
"ordered": false
},
"nullable": true,
"dictionary": {
"type": "string",
"values": ["sum", "avg", "min", "max", "count"]
}
}
],
"metadata": {
"description": "Time series metrics schema",
"compression": "lz4",
"partitioning": "by_hour"
}
},
"metadata": {
"name": "timeseries_metrics",
"created_at": "2025-11-30T12:00:00Z",
"version": "1.0",
"creator": "Arrow Time Series Pipeline"
}
}JSONjsonComplejo
Optimización de Rendimiento Arrow
Técnicas avanzadas de optimización Arrow para análisis de alto rendimiento y eficiencia de memoria
Etiquetas
arrow, performance, optimization, memory, simd
json
{
"schema": {
"fields": [
{
"name": "partition_key",
"type": "int64",
"nullable": false,
"metadata": {
"partition_key": true
}
},
{
"name": "compressed_strings",
"type": {
"type": "dictionary",
"index_type": "int32",
"value_type": "string",
"ordered": false
},
"nullable": false,
"metadata": {
"compression": "dictionary"
}
},
{
"name": "dense_numeric",
"type": "float32",
"nullable": false,
"metadata": {
"precision": "single",
"compression": "bitshuffle"
}
},
{
"name": "sparse_boolean",
"type": "bool",
"nullable": true,
"metadata": {
"encoding": "run_length"
}
},
{
"name": "large_array",
"type": {
"type": "list",
"item_type": "int64",
"nullable": false
},
"nullable": true,
"metadata": {
"large_list": true,
"offset_size": "64bit"
}
},
{
"name": "union_field",
"type": {
"type": "union",
"mode": "dense",
"types": [
{
"type": "int64",
"id": 0
},
{
"type": "string",
"id": 1
},
{
"type": "float64",
"id": 2
}
]
},
"nullable": true
}
],
"metadata": {
"optimization": "performance",
"memory_layout": "columnar",
"alignment": 64
}
},
"performance_hints": {
"batch_size": 65536,
"memory_pool": "default",
"thread_safety": true,
"zero_copy": true,
"simd_optimized": true
}
}Herramientas
Herramientas que suelen usarse con este ejemplo
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