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16 changes: 12 additions & 4 deletions docs/api/sql/Function.md
Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,14 @@
Introduction: Returns an array of expanded forms of the input address string. This is backed by the [libpostal](https://github.com/openvenues/libpostal) library's address expanding functionality.

!!!Note
Jpostal requires at least 2 GB of free disk space to store the data files used for address parsing and expanding. The data files are downloaded automatically when the function is called for the first time.
Jpostal requires at least 2 GB of free disk space to store the data files used for address parsing and expanding. By default, the data files are downloaded automatically to a temporary directory (`<java.io.tmpdir>/libpostal/`, e.g. `/tmp/libpostal/` on Linux/macOS) when the function is called for the first time.

!!!Note
The version of jpostal installed with this package only supports Linux and MacOS. If you are using Windows, you will need to install libjpostal and libpostal manually and ensure that they are available in your `java.library.path`.
The version of jpostal installed with this package only supports Linux and macOS. If you are using Windows, you will need to install libjpostal and libpostal manually and ensure that they are available in your `java.library.path`.

The data directory can be configured via `spark.sedona.libpostal.dataDir`. You can point it to a remote filesystem path (HDFS, S3, GCS, ABFS, etc.) such as `hdfs:///data/libpostal/` or `s3a://my-bucket/libpostal/`. When using a remote path, you must distribute the data to all executors before running queries by calling `sc.addFile("hdfs:///data/libpostal/", recursive=True)` (PySpark) or `sc.addFile("hdfs:///data/libpostal/", recursive = true)` (Scala). In this remote-URI mode, the automatic internet download performed by jpostal is disabled, so the remote directory must already contain the libpostal model files. For local filesystem paths, jpostal's download-if-needed behavior remains enabled.

To prepare the libpostal data for a remote filesystem, first download it to a local machine by following the [libpostal installation instructions](https://github.com/openvenues/libpostal#installation-maclinux). After installation, the data files will be in the directory you specified during setup (commonly `/tmp/libpostal/`). Then upload them to your remote storage.

Format: `ExpandAddress (address: String)`

Expand All @@ -48,10 +52,14 @@ Output:
Introduction: Returns an array of the components (e.g. street, postal code) of the input address string. This is backed by the [libpostal](https://github.com/openvenues/libpostal) library's address parsing functionality.

!!!Note
Jpostal requires at least 2 GB of free disk space to store the data files used for address parsing and expanding. The data files are downloaded automatically when the library is initialized.
Jpostal requires at least 2 GB of free disk space to store the data files used for address parsing and expanding. By default, the data files are downloaded automatically to a temporary directory (`<java.io.tmpdir>/libpostal/`, e.g. `/tmp/libpostal/` on Linux/macOS) when the library is initialized.

!!!Note
The version of jpostal installed with this package only supports Linux and MacOS. If you are using Windows, you will need to install libjpostal and libpostal manually and ensure that they are available in your `java.library.path`.
The version of jpostal installed with this package only supports Linux and macOS. If you are using Windows, you will need to install libjpostal and libpostal manually and ensure that they are available in your `java.library.path`.

The data directory can be configured via `spark.sedona.libpostal.dataDir`. You can point it to a remote filesystem path (HDFS, S3, GCS, ABFS, etc.) such as `hdfs:///data/libpostal/` or `s3a://my-bucket/libpostal/`. When using a remote path, you must distribute the data to all executors before running queries by calling `sc.addFile("hdfs:///data/libpostal/", recursive=True)` (PySpark) or `sc.addFile("hdfs:///data/libpostal/", recursive = true)` (Scala). In this remote-URI mode, the automatic internet download performed by jpostal is disabled, so the remote directory must already contain the libpostal model files. For local filesystem paths, jpostal's download-if-needed behavior remains enabled.

To prepare the libpostal data for a remote filesystem, first download it to a local machine by following the [libpostal installation instructions](https://github.com/openvenues/libpostal#installation-maclinux). After installation, the data files will be in the directory you specified during setup (commonly `/tmp/libpostal/`). Then upload them to your remote storage.

Format: `ParseAddress (address: String)`

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Original file line number Diff line number Diff line change
@@ -0,0 +1,141 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.spark.sql.sedona_sql.expressions

import org.apache.spark.SparkFiles
import org.slf4j.LoggerFactory

import java.io.File
import java.net.URI

/**
* Resolves libpostal data directory paths. When the configured data directory points to a remote
* filesystem (HDFS, S3, GCS, ABFS, etc.), the data is expected to have been distributed to
* executors via `SparkContext.addFile()` and is resolved through `SparkFiles.get()`.
*/
object LibPostalDataLoader {

private val logger = LoggerFactory.getLogger(getClass)

/**
* Resolve the data directory to a local filesystem path. If the configured path already points
* to the local filesystem, it is returned as-is. If it points to a remote filesystem, the data
* is looked up via Spark's `SparkFiles` mechanism (the user must have called
* `sc.addFile(remotePath, recursive = true)` before running queries).
*
* @param configuredDir
* the data directory path from Sedona configuration (may be local or remote)
* @return
* a local filesystem path suitable for jpostal
*/
def resolveDataDir(configuredDir: String): String = {
if (isRemotePath(configuredDir)) {
resolveFromSparkFiles(configuredDir)
} else {
normalizeLocalPath(configuredDir)
}
}

/**
* Normalize a local path. Converts `file:` URIs (e.g. `file:///tmp/libpostal`) to plain
* filesystem paths (`/tmp/libpostal`) so that jpostal receives a path it can use directly.
* Non-URI paths are returned unchanged.
*/
private[expressions] def normalizeLocalPath(path: String): String = {
try {
val uri = new URI(path)
if (uri.getScheme != null && uri.getScheme.equalsIgnoreCase("file")) {
new File(uri).getAbsolutePath
} else {
path
}
} catch {
case _: Exception => path
}
}

/**
* Determine whether a path string refers to a remote (non-local) filesystem.
*/
def isRemotePath(path: String): Boolean = {
try {
val uri = new URI(path)
val scheme = uri.getScheme
scheme != null && !scheme.equalsIgnoreCase("file") && scheme.length > 1
} catch {
case _: Exception => false
}
}

/**
* Resolve a remote data directory via Spark's file distribution mechanism. Extracts the
* basename (last path component) from the remote URI and looks it up through `SparkFiles.get`.
* The user must have previously called `sc.addFile(remotePath, recursive = true)`.
*
* @throws IllegalStateException
* if the data directory was not found via SparkFiles
*/
private def resolveFromSparkFiles(remotePath: String): String = {
val basename = extractBasename(remotePath)

try {
val localPath = SparkFiles.get(basename)
val localFile = new File(localPath)
Comment on lines +98 to +99
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in contrast with the docs it seems that this code downloads the data from the hdfs itself.

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if (localFile.exists() && localFile.isDirectory) {
logger.info(
"Resolved libpostal data from SparkFiles: {} -> {}",
remotePath: Any,
localPath: Any)
ensureTrailingSlash(localPath)
} else {
throw new IllegalStateException(
s"libpostal data directory '$basename' was not found via SparkFiles. " +
"Please call sc.addFile(\"" + remotePath + "\", recursive = true) before running libpostal queries.")
}
} catch {
case e: IllegalStateException => throw e
case e: Exception =>
throw new IllegalStateException(
s"Failed to resolve libpostal data from SparkFiles for '$remotePath'. " +
"Please call sc.addFile(\"" + remotePath + "\", recursive = true) before running libpostal queries.",
e)
}
}

/**
* Extract the basename (last path component) from a URI string. Trailing slashes are stripped
* before extracting the last component.
*/
private[expressions] def extractBasename(path: String): String = {
val trimmed = path.replaceAll("/+$", "")
val uri = new URI(trimmed)
val uriPath = uri.getPath
if (uriPath == null || uriPath.isEmpty) {
trimmed.split("/").last
} else {
uriPath.split("/").last
}
}

private def ensureTrailingSlash(path: String): String = {
if (path.endsWith("/") || path.endsWith(File.separator)) path
else path + File.separator
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -23,10 +23,17 @@ import com.mapzen.jpostal.{AddressExpander, AddressParser, Config}
object LibPostalUtils {

private def getConfig(dataDir: String, useSenzing: Boolean): Config = {
// Resolve the data directory: if it points to a remote filesystem (HDFS, S3, etc.),
// copy the data locally first since jpostal requires local filesystem access.
val resolvedDir = LibPostalDataLoader.resolveDataDir(dataDir)
val isRemote = LibPostalDataLoader.isRemotePath(dataDir)

Config
.builder()
.dataDir(dataDir)
.downloadDataIfNeeded(true)
.dataDir(resolvedDir)
// When data was fetched from a remote store, it is already fully populated;
// disable jpostal's built-in internet download to avoid network access on the cluster.
.downloadDataIfNeeded(!isRemote)
.senzing(useSenzing)
.build()
}
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Original file line number Diff line number Diff line change
@@ -0,0 +1,161 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.sedona.sql

import org.apache.spark.SparkFiles
import org.apache.spark.sql.sedona_sql.expressions.LibPostalDataLoader
import org.scalatest.matchers.should.Matchers

import java.io.File
import java.nio.file.Files

class LibPostalDataLoaderTest extends TestBaseScala with Matchers {

describe("LibPostalDataLoader") {

describe("isRemotePath") {
it("should return false for local paths") {
LibPostalDataLoader.isRemotePath("/tmp/libpostal/") shouldBe false
}

it("should return false for relative paths") {
LibPostalDataLoader.isRemotePath("data/libpostal/") shouldBe false
}

it("should return false for file:// URIs") {
LibPostalDataLoader.isRemotePath("file:///tmp/libpostal/") shouldBe false
}

it("should return true for hdfs:// URIs") {
LibPostalDataLoader.isRemotePath("hdfs:///data/libpostal/") shouldBe true
}

it("should return true for hdfs:// URIs with host") {
LibPostalDataLoader.isRemotePath("hdfs://namenode:9000/data/libpostal/") shouldBe true
}

it("should return true for s3a:// URIs") {
LibPostalDataLoader.isRemotePath("s3a://my-bucket/libpostal/") shouldBe true
}

it("should return true for gs:// URIs") {
LibPostalDataLoader.isRemotePath("gs://my-bucket/libpostal/") shouldBe true
}

it("should return true for abfs:// URIs") {
LibPostalDataLoader.isRemotePath(
"abfs://container@account.dfs.core.windows.net/libpostal/") shouldBe true
}

it("should return true for wasb:// URIs") {
LibPostalDataLoader.isRemotePath(
"wasb://container@account.blob.core.windows.net/libpostal/") shouldBe true
}

it("should return false for empty string") {
LibPostalDataLoader.isRemotePath("") shouldBe false
}

it("should return false for Windows-like paths") {
// Single-letter scheme like C: should not be treated as remote
LibPostalDataLoader.isRemotePath("C:\\libpostal\\data\\") shouldBe false
}
}

describe("resolveDataDir") {
it("should return local path unchanged") {
val tempDir = Files.createTempDirectory("sedona-libpostal-test").toFile
try {
val result = LibPostalDataLoader.resolveDataDir(tempDir.getAbsolutePath)
result shouldBe tempDir.getAbsolutePath
} finally {
tempDir.delete()
}
}

it("should normalize file: URI to plain local path") {
val tempDir = Files.createTempDirectory("sedona-libpostal-test").toFile
try {
val fileUri = tempDir.toURI.toString
val result = LibPostalDataLoader.resolveDataDir(fileUri)
result should not startWith "file:"
result shouldBe tempDir.getAbsolutePath
} finally {
tempDir.delete()
}
}

it("should throw IllegalStateException when remote data not found in SparkFiles") {
val remoteUri = "hdfs:///data/nonexistent-libpostal-data/"

val exception = intercept[IllegalStateException] {
LibPostalDataLoader.resolveDataDir(remoteUri)
}
exception.getMessage should include("not found via SparkFiles")
exception.getMessage should include("sc.addFile")
exception.getMessage should include("recursive = true")
}

// This test simulates the SparkFiles resolution path without actually calling
// sc.addFile, which would permanently register the remote URI in SparkContext's
// internal state and cause downstream test failures when the remote endpoint is
// no longer available. Instead, we place mock data directly in SparkFiles root.
it("should resolve remote path when data is present in SparkFiles directory") {
val sparkFilesDir = new File(SparkFiles.getRootDirectory())
val mockDataDir = new File(sparkFilesDir, "libpostal-sparkfiles-test")
try {
// Create mock libpostal data in the SparkFiles root directory
val subdirs = Seq("address_parser", "language_classifier", "transliteration")
for (subdir <- subdirs) {
val subdirFile = new File(mockDataDir, subdir)
subdirFile.mkdirs()
Files.write(new File(subdirFile, "model.dat").toPath, s"data for $subdir".getBytes)
}

// resolveDataDir should find the data via SparkFiles.get(basename)
val remotePath = "s3a://my-bucket/data/libpostal-sparkfiles-test"
val localPath = LibPostalDataLoader.resolveDataDir(remotePath)

// Verify the resolved path is local and contains all expected data
localPath should not startWith "s3a://"
val localDir = new File(localPath)
localDir.exists() shouldBe true
localDir.isDirectory shouldBe true
localPath should endWith(File.separator)

for (subdir <- subdirs) {
val localSubdir = new File(localDir, subdir)
localSubdir.exists() shouldBe true
localSubdir.isDirectory shouldBe true
new File(localSubdir, "model.dat").exists() shouldBe true
}
} finally {
// Clean up the mock data directory
if (mockDataDir.exists()) {
mockDataDir.listFiles().foreach { sub =>
sub.listFiles().foreach(_.delete())
sub.delete()
}
mockDataDir.delete()
}
}
}
}
}
}
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