Quick Start Guide#

Arrow Java provides several building blocks. Data types describe the types of values; ValueVectors are sequences of typed values; fields describe the types of columns in tabular data; schemas describe a sequence of columns in tabular data, and VectorSchemaRoot represents tabular data. Arrow also provides readers and writers for loading data from and persisting data to storage.

Create a ValueVector#

ValueVectors represent a sequence of values of the same type. They are also known as “arrays” in the columnar format.

Example: create a vector of 32-bit integers representing [1, null, 2]:

import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.IntVector;

try(
    BufferAllocator allocator = new RootAllocator();
    IntVector intVector = new IntVector("fixed-size-primitive-layout", allocator);
){
    intVector.allocateNew(3);
    intVector.set(0,1);
    intVector.setNull(1);
    intVector.set(2,2);
    intVector.setValueCount(3);
    System.out.println("Vector created in memory: " + intVector);
}

Vector created in memory: [1, null, 2]

Example: create a vector of UTF-8 encoded strings representing ["one", "two", "three"]:

import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.VarCharVector;

try(
    BufferAllocator allocator = new RootAllocator();
    VarCharVector varCharVector = new VarCharVector("variable-size-primitive-layout", allocator);
){
    varCharVector.allocateNew(3);
    varCharVector.set(0, "one".getBytes());
    varCharVector.set(1, "two".getBytes());
    varCharVector.set(2, "three".getBytes());
    varCharVector.setValueCount(3);
    System.out.println("Vector created in memory: " + varCharVector);
}

Vector created in memory: [one, two, three]

Create a Field#

Fields are used to denote the particular columns of tabular data. They consist of a name, a data type, a flag indicating whether the column can have null values, and optional key-value metadata.

Example: create a field named “document” of string type:

import org.apache.arrow.vector.types.pojo.ArrowType;
import org.apache.arrow.vector.types.pojo.Field;
import org.apache.arrow.vector.types.pojo.FieldType;
import java.util.HashMap;
import java.util.Map;

Map<String, String> metadata = new HashMap<>();
metadata.put("A", "Id card");
metadata.put("B", "Passport");
metadata.put("C", "Visa");
Field document = new Field("document",
        new FieldType(true, new ArrowType.Utf8(), /*dictionary*/ null, metadata),
        /*children*/ null);
System.out.println("Field created: " + document + ", Metadata: " + document.getMetadata());

Field created: document: Utf8, Metadata: {A=Id card, B=Passport, C=Visa}

Create a Schema#

Schemas hold a sequence of fields together with some optional metadata.

Example: Create a schema describing datasets with two columns: an int32 column “A” and a UTF8-encoded string column “B”

import org.apache.arrow.vector.types.pojo.ArrowType;
import org.apache.arrow.vector.types.pojo.Field;
import org.apache.arrow.vector.types.pojo.FieldType;
import org.apache.arrow.vector.types.pojo.Schema;
import java.util.HashMap;
import java.util.Map;
import static java.util.Arrays.asList;

Map<String, String> metadata = new HashMap<>();
metadata.put("K1", "V1");
metadata.put("K2", "V2");
Field a = new Field("A", FieldType.nullable(new ArrowType.Int(32, true)), /*children*/ null);
Field b = new Field("B", FieldType.nullable(new ArrowType.Utf8()), /*children*/ null);
Schema schema = new Schema(asList(a, b), metadata);
System.out.println("Schema created: " + schema);

Schema created: Schema<A: Int(32, true), B: Utf8>(metadata: {K1=V1, K2=V2})

Create a VectorSchemaRoot#

A VectorSchemaRoot combines ValueVectors with a Schema to represent tabular data.

Example: Create a dataset of names (strings) and ages (32-bit signed integers).

import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.IntVector;
import org.apache.arrow.vector.VarCharVector;
import org.apache.arrow.vector.VectorSchemaRoot;
import org.apache.arrow.vector.types.pojo.ArrowType;
import org.apache.arrow.vector.types.pojo.Field;
import org.apache.arrow.vector.types.pojo.FieldType;
import org.apache.arrow.vector.types.pojo.Schema;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import static java.util.Arrays.asList;

Field age = new Field("age",
        FieldType.nullable(new ArrowType.Int(32, true)),
        /*children*/null
);
Field name = new Field("name",
        FieldType.nullable(new ArrowType.Utf8()),
        /*children*/null
);
Schema schema = new Schema(asList(age, name), /*metadata*/ null);
try(
    BufferAllocator allocator = new RootAllocator();
    VectorSchemaRoot root = VectorSchemaRoot.create(schema, allocator);
    IntVector ageVector = (IntVector) root.getVector("age");
    VarCharVector nameVector = (VarCharVector) root.getVector("name");
){
    root.setRowCount(3);
    ageVector.allocateNew(3);
    ageVector.set(0, 10);
    ageVector.set(1, 20);
    ageVector.set(2, 30);
    nameVector.allocateNew(3);
    nameVector.set(0, "Dave".getBytes(StandardCharsets.UTF_8));
    nameVector.set(1, "Peter".getBytes(StandardCharsets.UTF_8));
    nameVector.set(2, "Mary".getBytes(StandardCharsets.UTF_8));
    System.out.println("VectorSchemaRoot created: \n" + root.contentToTSVString());
}

VectorSchemaRoot created:
age     name
10      Dave
20      Peter
30      Mary

Interprocess Communication (IPC)#

Arrow data can be written to and read from disk, and both of these can be done in a streaming and/or random-access fashion depending on application requirements.

Write data to an arrow file

Example: Write the dataset from the previous example to an Arrow random-access file.

import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.IntVector;
import org.apache.arrow.vector.VarCharVector;
import org.apache.arrow.vector.VectorSchemaRoot;
import org.apache.arrow.vector.ipc.ArrowFileWriter;
import org.apache.arrow.vector.types.pojo.ArrowType;
import org.apache.arrow.vector.types.pojo.Field;
import org.apache.arrow.vector.types.pojo.FieldType;
import org.apache.arrow.vector.types.pojo.Schema;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import static java.util.Arrays.asList;

Field age = new Field("age",
        FieldType.nullable(new ArrowType.Int(32, true)),
        /*children*/ null);
Field name = new Field("name",
        FieldType.nullable(new ArrowType.Utf8()),
        /*children*/ null);
Schema schema = new Schema(asList(age, name));
try(
    BufferAllocator allocator = new RootAllocator();
    VectorSchemaRoot root = VectorSchemaRoot.create(schema, allocator);
    IntVector ageVector = (IntVector) root.getVector("age");
    VarCharVector nameVector = (VarCharVector) root.getVector("name");
){
    ageVector.allocateNew(3);
    ageVector.set(0, 10);
    ageVector.set(1, 20);
    ageVector.set(2, 30);
    nameVector.allocateNew(3);
    nameVector.set(0, "Dave".getBytes(StandardCharsets.UTF_8));
    nameVector.set(1, "Peter".getBytes(StandardCharsets.UTF_8));
    nameVector.set(2, "Mary".getBytes(StandardCharsets.UTF_8));
    root.setRowCount(3);
    File file = new File("random_access_file.arrow");
    try (
        FileOutputStream fileOutputStream = new FileOutputStream(file);
        ArrowFileWriter writer = new ArrowFileWriter(root, /*provider*/ null, fileOutputStream.getChannel());
    ) {
        writer.start();
        writer.writeBatch();
        writer.end();
        System.out.println("Record batches written: " + writer.getRecordBlocks().size()
                + ". Number of rows written: " + root.getRowCount());
    } catch (IOException e) {
        e.printStackTrace();
    }
}

Record batches written: 1. Number of rows written: 3

Read data from an arrow file

Example: Read the dataset from the previous example to an Arrow random-access file.

import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.ipc.ArrowFileReader;
import org.apache.arrow.vector.ipc.message.ArrowBlock;
import org.apache.arrow.vector.VectorSchemaRoot;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;

try(
    BufferAllocator allocator = new RootAllocator(Long.MAX_VALUE);
    FileInputStream fileInputStream = new FileInputStream(new File("random_access_file.arrow"));
    ArrowFileReader reader = new ArrowFileReader(fileInputStream.getChannel(), allocator);
){
    System.out.println("Record batches in file: " + reader.getRecordBlocks().size());
    for (ArrowBlock arrowBlock : reader.getRecordBlocks()) {
        reader.loadRecordBatch(arrowBlock);
        VectorSchemaRoot root = reader.getVectorSchemaRoot();
        System.out.println("VectorSchemaRoot read: \n" + root.contentToTSVString());
    }
} catch (IOException e) {
    e.printStackTrace();
}

Record batches in file: 1
VectorSchemaRoot read:
age     name
10      Dave
20      Peter
30      Mary

More examples available at Arrow Java Cookbook.

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