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Update README and Dockerfile (#124)
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* fix readme code samples to show working examples (#6)

* Update versions referenced in README and improve grammar

* Update Dockerfile and Docker section of README

* Use Amazon Corretto base Docker image

---------

Co-authored-by: Ivan Pavlovic <pavlovic.ivan.26@gmail.com>
Co-authored-by: Jiayu Liu <Jimexist@users.noreply.github.com>
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@adamreeve @pavlovic-ivan @jimexist
3 people committed Apr 28, 2024
1 parent e4444dd commit 58bccbd
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14 changes: 8 additions & 6 deletions .dockerignore
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@@ -1,6 +1,8 @@
build/
target/
out/
bin/
.idea/
.gradle/
Dockerfile
README.md
**/build/
**/target/
**/out/
**/bin/
**/.idea/
**/.gradle/
19 changes: 12 additions & 7 deletions Dockerfile
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@@ -1,10 +1,8 @@
FROM openjdk:11-jdk-slim-bullseye
FROM amazoncorretto:21

ENV DEBIAN_FRONTEND noninteractive

RUN apt-get update && \
apt-get -y install curl gcc && \
rm -rf /var/lib/apt/lists/*
RUN yum install -y gcc && \
yum clean all && \
rm -rf /var/cache/yum

RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y

Expand All @@ -22,4 +20,11 @@ COPY . .

RUN ./gradlew copyDevLibrary installDist

CMD ["./datafusion-examples/build/install/datafusion-examples/bin/datafusion-examples"]
# Set working directory so that the relative paths to resource files used in ExampleMain are correct
WORKDIR /usr/opt/datafusion-java/datafusion-examples

# Configure environment variables to allow loading datafusion-java in jshell
ENV CLASSPATH="/usr/opt/datafusion-java/datafusion-examples/build/install/datafusion-examples/lib/*"
ENV JDK_JAVA_OPTIONS="-Djava.library.path=/usr/opt/datafusion-java/datafusion-java/build/jni_libs/dev --add-opens=java.base/java.nio=ALL-UNNAMED"

CMD ["./build/install/datafusion-examples/bin/datafusion-examples"]
172 changes: 84 additions & 88 deletions README.md
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Expand Up @@ -8,20 +8,20 @@ A Java binding to [Apache Arrow DataFusion][1]

## Status

This project is still work in progress, and currently it works with Arrow 9.0 and DataFusion 7.0 version.
It is build and verified in CI against Java 11 and 21. You may check out the docker run instructions
This project is still a work in progress, and it currently works with Arrow 14.0 and DataFusion version 25.0.
It is built and verified in CI against Java 11 and 21. You may check out the [docker run instructions](#how-to-run-the-interactive-demo)
where Java 21 `jshell` is used to run interactively.

## How to use in your code

The artifacts are [published][2] to maven central, so you can use like any normal Java libraries:
The artifacts are [published][2] to maven central, so you can use datafusion-java like any normal Java library:

```groovy
dependencies {
implementation(
group = "io.github.datafusion-contrib",
name = "datafusion-java",
version = "0.12.0" // or latest version, checkout https://github.com/datafusion-contrib/datafusion-java/releases
version = "0.16.0" // or latest version, checkout https://github.com/datafusion-contrib/datafusion-java/releases
)
}
```
Expand All @@ -41,8 +41,8 @@ import org.apache.arrow.datafusion.SessionContexts;
public class DataFusionDemo {

public static void main(String[] args) throws Exception {
try (ExecutionContext executionContext = ExecutionContexts.create()) {
executionContext.sql("select sqrt(65536)").thenCompose(DataFrame::show).join();
try (SessionContext sessionContext = SessionContexts.create()) {
sessionContext.sql("select sqrt(65536)").thenCompose(DataFrame::show).join();
}
}
}
Expand Down Expand Up @@ -74,7 +74,7 @@ dependencies {
implementation(
group = "io.github.datafusion-contrib",
name = "datafusion-java",
version = "0.12.0"
version = "0.16.0"
)
}

Expand All @@ -86,7 +86,6 @@ dependencies {
<summary>Run result</summary>

```
$ ./gradlew run
...
> Task :compileKotlin UP-TO-DATE
Expand All @@ -106,8 +105,6 @@ successfully shutdown tokio runtime
BUILD SUCCESSFUL in 2s
3 actionable tasks: 1 executed, 2 up-to-date
16:43:34: Execution finished 'run'.
```

</details>
Expand All @@ -118,87 +115,72 @@ BUILD SUCCESSFUL in 2s

First build the docker image:

<details>
<summary>docker build -t datafusion-example .</summary>
```
docker build -t datafusion-example .
```

```text
❯ docker build -t datafusion-example .
[+] Building 615.2s (14/14) FINISHED
=> [internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 598B 0.0s
=> [internal] load .dockerignore 0.0s
=> => transferring context: 81B 0.0s
=> [internal] load metadata for docker.io/library/openjdk:11-jdk-slim-bullseye 5.6s
=> [internal] load build context 66.5s
=> => transferring context: 4.01GB 66.0s
=> [1/9] FROM docker.io/library/openjdk:11-jdk-slim-bullseye@sha256:0aac7dafc37d192d744228a6b26437438 22.3s
=> => resolve docker.io/library/openjdk:11-jdk-slim-bullseye@sha256:0aac7dafc37d192d744228a6b264374389 0.0s
=> => sha256:0aac7dafc37d192d744228a6b26437438908929883fc156b761ab779819e0fbd 549B / 549B 0.0s
=> => sha256:452daa20005a0f380b34b3d71a89e06cd7007086945fe3434d2a30fc1002475c 1.16kB / 1.16kB 0.0s
=> => sha256:7c8c5acc99dd425bd4b9cc46edc6f8b1fc7abd23cd5ea4c83d622d8ae1f2230f 5.60kB / 5.60kB 0.0s
=> => sha256:214ca5fb90323fe769c63a12af092f2572bf1c6b300263e09883909fc865d260 31.38MB / 31.38MB 2.6s
1 update dockerfile, fix library path
=> => sha256:ebf31789c5c1a5e3676cbd7a34472d61217c52c819552f5b116565c22cb6d2f1 1.58MB / 1.58MB 2.3s
=> => sha256:8741521b2ba4d4d676c7a992cb54627c0eb9fdce1b4f68ad17da4f8b2abf103a 211B / 211B 2.5s
=> => sha256:2b079b63f250d1049457d0657541b735a1915d4c4a5aa6686d172c3821e3ebc9 204.24MB / 204.24MB 16.3s
=> => extracting sha256:214ca5fb90323fe769c63a12af092f2572bf1c6b300263e09883909fc865d260 2.7s
=> => extracting sha256:ebf31789c5c1a5e3676cbd7a34472d61217c52c819552f5b116565c22cb6d2f1 0.3s
=> => extracting sha256:8741521b2ba4d4d676c7a992cb54627c0eb9fdce1b4f68ad17da4f8b2abf103a 0.0s
=> => extracting sha256:2b079b63f250d1049457d0657541b735a1915d4c4a5aa6686d172c3821e3ebc9 5.9s
=> [2/9] RUN apt-get update && apt-get -y install curl gcc && rm -rf /var/lib/apt/lists/* 23.6s
=> [3/9] RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y 29.6s
=> [4/9] WORKDIR /usr/opt/datafusion-java 0.0s
=> [5/9] COPY build.gradle settings.gradle gradlew ./ 0.0s
=> [6/9] COPY gradle gradle 0.0s
=> [7/9] RUN ./gradlew --version 8.5s
=> [8/9] COPY . . 8.9s
=> [9/9] RUN ./gradlew cargoReleaseBuild build installDist 494.7s
=> exporting to image 21.9s
=> => exporting layers 21.9s
=> => writing image sha256:36cabc4e6c400adb4fa0b10f9c07c79aa9b50703bc76a5727d3e43f85cc76f36 0.0s
=> => naming to docker.io/library/datafusion-example 0.0s
Use ' 0.0s
Then you can run the example program using Docker:

```
docker run --rm -it datafusion-example
```

</details>
Or start an interactive jshell session:

Then run using Docker:
```
docker run --rm -it datafusion-example jshell
```

<details>
<summary>docker run --rm -it datafusion-example</summary>
<summary>Example jshell session</summary>

```text
Dec 27, 2021 2:52:22 AM java.util.prefs.FileSystemPreferences$1 run
Jan 11, 2024 1:49:28 AM java.util.prefs.FileSystemPreferences$1 run
INFO: Created user preferences directory.
| Welcome to JShell -- Version 11.0.13
| Welcome to JShell -- Version 21
| For an introduction type: /help intro
jshell> import org.apache.arrow.datafusion.*
jshell> var context = ExecutionContexts.create()
context ==> org.apache.arrow.datafusion.DefaultSessionContext@4229bb3f
jshell> var context = SessionContexts.create()
01:41:05.586 [main] DEBUG org.apache.arrow.datafusion.JNILoader -- successfully loaded datafusion_jni from library path
01:41:05.589 [main] DEBUG org.apache.arrow.datafusion.JNILoader -- datafusion_jni already loaded, returning
01:41:05.590 [main] DEBUG org.apache.arrow.datafusion.AbstractProxy -- Obtaining DefaultSessionContext@7f58383b8db0
01:41:05.591 [main] DEBUG org.apache.arrow.datafusion.AbstractProxy -- Obtaining TokioRuntime@7f58383ce110
context ==> org.apache.arrow.datafusion.DefaultSessionContext@2d209079
jshell> var df = context.sql("select 1.1 + cos(2.0)").join()
df ==> org.apache.arrow.datafusion.DefaultDataFrame@1a18644
01:41:10.961 [main] DEBUG org.apache.arrow.datafusion.AbstractProxy -- Obtaining DefaultDataFrame@7f5838209100
df ==> org.apache.arrow.datafusion.DefaultDataFrame@34ce8af7
jshell> import org.apache.arrow.memory.*
jshell> var allocator = new RootAllocator()
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
01:41:22.521 [main] INFO org.apache.arrow.memory.BaseAllocator -- Debug mode disabled. Enable with the VM option -Darrow.memory.debug.allocator=true.
01:41:22.525 [main] INFO org.apache.arrow.memory.DefaultAllocationManagerOption -- allocation manager type not specified, using netty as the default type
01:41:22.525 [main] INFO org.apache.arrow.memory.CheckAllocator -- Using DefaultAllocationManager at memory-unsafe-14.0.2.jar!/org/apache/arrow/memory/DefaultAllocationManagerFactory.class
01:41:22.531 [main] DEBUG org.apache.arrow.memory.util.MemoryUtil -- Constructor for direct buffer found and made accessible
01:41:22.536 [main] DEBUG org.apache.arrow.memory.util.MemoryUtil -- direct buffer constructor: available
01:41:22.537 [main] DEBUG org.apache.arrow.memory.rounding.DefaultRoundingPolicy -- -Dorg.apache.memory.allocator.pageSize: 8192
01:41:22.537 [main] DEBUG org.apache.arrow.memory.rounding.DefaultRoundingPolicy -- -Dorg.apache.memory.allocator.maxOrder: 11
allocator ==> Allocator(ROOT) 0/0/0/9223372036854775807 (res/actual/peak/limit)
jshell> var r = df.collect(allocator).join()
02:52:46.882 [main] INFO org.apache.arrow.datafusion.DefaultDataFrame - successfully completed with arr length=538
r ==> org.apache.arrow.vector.ipc.ArrowFileReader@5167f57d
01:41:29.635 [main] INFO org.apache.arrow.datafusion.DefaultDataFrame -- successfully completed with arr length=610
r ==> org.apache.arrow.vector.ipc.ArrowFileReader@7ac7a4e4
jshell> var root = r.getVectorSchemaRoot()
root ==> org.apache.arrow.vector.VectorSchemaRoot@4264b240
01:41:34.658 [main] DEBUG org.apache.arrow.vector.ipc.ReadChannel -- Reading buffer with size: 10
01:41:34.661 [main] DEBUG org.apache.arrow.vector.ipc.ArrowFileReader -- Footer starts at 416, length: 184
01:41:34.661 [main] DEBUG org.apache.arrow.vector.ipc.ReadChannel -- Reading buffer with size: 184
root ==> org.apache.arrow.vector.VectorSchemaRoot@6cd28fa7
jshell> r.loadNextBatch()
01:41:39.421 [main] DEBUG org.apache.arrow.vector.ipc.ArrowFileReader -- RecordBatch at 200, metadata: 192, body: 16
01:41:39.423 [main] DEBUG org.apache.arrow.vector.ipc.ReadChannel -- Reading buffer with size: 208
01:41:39.424 [main] DEBUG org.apache.arrow.vector.ipc.message.ArrowRecordBatch -- Buffer in RecordBatch at 0, length: 1
01:41:39.425 [main] DEBUG org.apache.arrow.vector.ipc.message.ArrowRecordBatch -- Buffer in RecordBatch at 8, length: 8
$8 ==> true
jshell> var v = root.getVector(0)
Expand All @@ -209,7 +191,7 @@ v ==> [0.6838531634528577]

### 2. Build from source

Note you must have local Rust and Java environment setup.
Note you must have a local Rust and Java environment setup.

Run the example in one line:

Expand All @@ -220,32 +202,46 @@ Run the example in one line:
Or roll your own test example:

```java
// public class ExampleMain {
public static void main(String[] args) throws Exception {
try (ExecutionContext context = ExecutionContexts.create();
BufferAllocator allocator = new RootAllocator()) {
DataFrame dataFrame = context.sql("select 1.5 + sqrt(2.0)");
dataFrame.collect(allocator).thenAccept(ExampleMain::onReaderResult);
}
}
import org.apache.arrow.datafusion.DataFrame;
import org.apache.arrow.datafusion.SessionContext;
import org.apache.arrow.datafusion.SessionContexts;
import org.apache.arrow.memory.BufferAllocator;
import org.apache.arrow.memory.RootAllocator;
import org.apache.arrow.vector.Float8Vector;
import org.apache.arrow.vector.VectorSchemaRoot;
import org.apache.arrow.vector.ipc.ArrowReader;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;

public class ExampleMain {

private static final Logger logger = LoggerFactory.getLogger(ExampleMain.class);

private void onReaderResult(ArrowReader reader) {
try {
VectorSchemaRoot root = reader.getVectorSchemaRoot();
Schema schema = root.getSchema();
while (reader.loadNextBatch()) {
Float8Vector vector = (Float8Vector) root.getVector(0);
for (int i = 0; i < root.getRowCount(); i += 1) {
logger.info("value {}={}", i, vector.getValueAsDouble(i));
}
public static void main(String[] args) throws Exception {
try (SessionContext sessionContext = SessionContexts.create(); BufferAllocator allocator = new RootAllocator()) {
DataFrame dataFrame = sessionContext.sql("select 1.5 + sqrt(2.0)").get();
dataFrame.collect(allocator).thenAccept(ExampleMain::onReaderResult).get();
}
}

private static void onReaderResult(ArrowReader reader) {
try {
VectorSchemaRoot root = reader.getVectorSchemaRoot();
while (reader.loadNextBatch()) {
Float8Vector vector = (Float8Vector) root.getVector(0);
for (int i = 0; i < root.getRowCount(); i += 1) {
logger.info("value {}={}", i, vector.getValueAsDouble(i));
}
}
// close to release resource
reader.close();
} catch (IOException e) {
logger.warn("got IO Exception", e);
}
}
// close to release resource
reader.close();
} catch (IOException e) {
logger.warn("got IO Exception", e);
}
}
// } /* end of ExampleMain */
```

To build the library:
Expand Down

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