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commit 7488fcf35a9875e9af0ec7805336c655209adbfd
Author: Ryan Blue <[email protected]>
AuthorDate: Tue Jul 14 15:39:15 2020 -0800
Deployed 349e8e304 with MkDocs version: 1.0.4
---
404.html | 6 -
api-quickstart/index.html | 567 --------------------------------------
api/index.html | 6 -
community/index.html | 6 -
configuration/index.html | 6 -
custom-catalog/index.html | 6 -
evolution/index.html | 8 +-
getting-started/index.html | 6 -
how-to-release/index.html | 6 -
index.html | 8 +-
java-api-quickstart/index.html | 6 -
partitioning/index.html | 6 -
performance/index.html | 6 -
presto/index.html | 6 -
python-api-intro/index.html | 6 -
python-feature-support/index.html | 6 -
python-quickstart/index.html | 6 -
releases/index.html | 6 -
reliability/index.html | 6 -
schemas/index.html | 6 -
sitemap.xml | 5 -
sitemap.xml.gz | Bin 227 -> 225 bytes
snapshots/index.html | 6 -
spark/index.html | 8 +-
spec/index.html | 6 -
terms/index.html | 6 -
trademarks/index.html | 6 -
why-iceberg/index.html | 6 -
28 files changed, 3 insertions(+), 725 deletions(-)
diff --git a/404.html b/404.html
index 5c26216..cb0bff5 100644
--- a/404.html
+++ b/404.html
@@ -164,12 +164,6 @@
<li >
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diff --git a/api-quickstart/index.html b/api-quickstart/index.html
deleted file mode 100644
index e676278..0000000
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+++ /dev/null
@@ -1,567 +0,0 @@
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- <li class="first-level active"><a href="#spark-api-quickstart">Spark
API Quickstart</a></li>
- <li class="second-level"><a href="#create-a-table">Create a
table</a></li>
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a Hive catalog</a></li>
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href="#using-a-hadoop-catalog">Using a Hadoop catalog</a></li>
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Hadoop tables</a></li>
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Spark</a></li>
- <li class="second-level"><a href="#schemas">Schemas</a></li>
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schema</a></li>
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href="#convert-a-schema-from-avro">Convert a schema from Avro</a></li>
- <li class="third-level"><a
href="#convert-a-schema-from-spark">Convert a schema from Spark</a></li>
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href="#partitioning">Partitioning</a></li>
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href="#create-a-partition-spec">Create a partition spec</a></li>
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-<!--
- - 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
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-
-<h1 id="spark-api-quickstart">Spark API Quickstart<a class="headerlink"
href="#spark-api-quickstart" title="Permanent link">¶</a></h1>
-<h2 id="create-a-table">Create a table<a class="headerlink"
href="#create-a-table" title="Permanent link">¶</a></h2>
-<p>Tables are created using either a <a
href="/javadoc/master/index.html?org/apache/iceberg/catalog/Catalog.html"><code>Catalog</code></a>
or an implementation of the <a
href="/javadoc/master/index.html?org/apache/iceberg/Tables.html"><code>Tables</code></a>
interface.</p>
-<h3 id="using-a-hive-catalog">Using a Hive catalog<a class="headerlink"
href="#using-a-hive-catalog" title="Permanent link">¶</a></h3>
-<p>The Hive catalog connects to a Hive MetaStore to keep track of Iceberg
tables. This example uses Spark’s Hadoop configuration to get a Hive
catalog:</p>
-<pre><code class="scala">import org.apache.iceberg.hive.HiveCatalog
-
-val catalog = new HiveCatalog(spark.sessionState.newHadoopConf())
-</code></pre>
-
-<p>The <code>Catalog</code> interface defines methods for working with tables,
like <code>createTable</code>, <code>loadTable</code>,
<code>renameTable</code>, and <code>dropTable</code>.</p>
-<p>To create a table, pass an <code>Identifier</code> and a
<code>Schema</code> along with other initial metadata:</p>
-<pre><code class="scala">val name = TableIdentifier.of("logging",
"logs")
-val table = catalog.createTable(name, schema, spec)
-
-// write into the new logs table with Spark 2.4
-logsDF.write
- .format("iceberg")
- .mode("append")
- .save("logging.logs")
-</code></pre>
-
-<p>The logs <a href="#create-a-schema">schema</a> and <a
href="#create-a-partition-spec">partition spec</a> are created below.</p>
-<h3 id="using-a-hadoop-catalog">Using a Hadoop catalog<a class="headerlink"
href="#using-a-hadoop-catalog" title="Permanent link">¶</a></h3>
-<p>A Hadoop catalog doesn’t need to connect to a Hive MetaStore, but can
only be used with HDFS or similar file systems that support atomic rename.
Concurrent writes with a Hadoop catalog are not safe with a local FS or S3. To
create a Hadoop catalog:</p>
-<pre><code class="scala">import org.apache.hadoop.conf.Configuration;
-import org.apache.iceberg.hadoop.HadoopCatalog;
-
-val conf = new Configuration();
-val warehousePath = "hdfs://host:8020/warehouse_path";
-val catalog = new HadoopCatalog(conf, warehousePath);
-</code></pre>
-
-<p>Like the Hive catalog, <code>HadoopCatalog</code> implements
<code>Catalog</code>, so it also has methods for working with tables, like
<code>createTable</code>, <code>loadTable</code>, and
<code>dropTable</code>.</p>
-<p>This example creates a table with the Hadoop catalog:</p>
-<pre><code class="scala">val name = TableIdentifier.of("logging",
"logs")
-val table = catalog.createTable(name, schema, spec)
-
-// write into the new logs table with Spark 2.4
-logsDF.write
- .format("iceberg")
- .mode("append")
- .save("hdfs://host:8020/warehouse_path/logging.db/logs")
-</code></pre>
-
-<p>The logs <a href="#create-a-schema">schema</a> and <a
href="#create-a-partition-spec">partition spec</a> are created below.</p>
-<h3 id="using-hadoop-tables">Using Hadoop tables<a class="headerlink"
href="#using-hadoop-tables" title="Permanent link">¶</a></h3>
-<p>Iceberg also supports tables that are stored in a directory in HDFS.
Concurrent writes with a Hadoop tables are not safe when stored in the local FS
or S3. Directory tables don’t support all catalog operations, like
rename, so they use the <code>Tables</code> interface instead of
<code>Catalog</code>.</p>
-<p>To create a table in HDFS, use <code>HadoopTables</code>:</p>
-<pre><code class="scala">import org.apache.iceberg.hadoop.HadoopTables
-
-val tables = new HadoopTables(spark.sessionState.newHadoopConf())
-
-val table = tables.create(schema, spec, "hdfs:/tables/logging/logs")
-
-// write into the new logs table with Spark 2.4
-logsDF.write
- .format("iceberg")
- .mode("append")
- .save("hdfs:/tables/logging/logs")
-</code></pre>
-
-<div class="admonition warning">
-<p class="admonition-title">Warning</p>
-<p>Hadoop tables shouldn’t be used with file systems that do not support
atomic rename. Iceberg relies on rename to synchronize concurrent commits for
directory tables.</p>
-</div>
-<h3 id="tables-in-spark">Tables in Spark<a class="headerlink"
href="#tables-in-spark" title="Permanent link">¶</a></h3>
-<p>Spark uses both <code>HiveCatalog</code> and <code>HadoopTables</code> to
load tables. Hive is used when the identifier passed to <code>load</code> or
<code>save</code> is not a path, otherwise Spark assumes it is a path-based
table.</p>
-<p>To read and write to tables from Spark see:</p>
-<ul>
-<li><a href="../spark#reading-an-iceberg-table">Reading a table in
Spark</a></li>
-<li><a href="../spark#appending-data">Appending to a table in Spark</a></li>
-<li><a href="../spark#overwriting-data">Overwriting data in a table in
Spark</a></li>
-</ul>
-<h2 id="schemas">Schemas<a class="headerlink" href="#schemas" title="Permanent
link">¶</a></h2>
-<h3 id="create-a-schema">Create a schema<a class="headerlink"
href="#create-a-schema" title="Permanent link">¶</a></h3>
-<p>This example creates a schema for a <code>logs</code> table:</p>
-<pre><code class="scala">import org.apache.iceberg.Schema
-import org.apache.iceberg.types.Types._
-
-val schema = new Schema(
- NestedField.required(1, "level", StringType.get()),
- NestedField.required(2, "event_time", TimestampType.withZone()),
- NestedField.required(3, "message", StringType.get()),
- NestedField.optional(4, "call_stack", ListType.ofRequired(5,
StringType.get()))
- )
-</code></pre>
-
-<p>When using the Iceberg API directly, type IDs are required. Conversions
from other schema formats, like Spark, Avro, and Parquet will automatically
assign new IDs.</p>
-<p>When a table is created, all IDs in the schema are re-assigned to ensure
uniqueness.</p>
-<h3 id="convert-a-schema-from-avro">Convert a schema from Avro<a
class="headerlink" href="#convert-a-schema-from-avro" title="Permanent
link">¶</a></h3>
-<p>To create an Iceberg schema from an existing Avro schema, use converters in
<code>AvroSchemaUtil</code>:</p>
-<pre><code class="scala">import org.apache.avro.Schema.Parser
-import org.apache.iceberg.avro.AvroSchemaUtil
-
-val avroSchema = new Parser().parse("""{"type":
"record", ... }""")
-
-val icebergSchema = AvroSchemaUtil.toIceberg(avroSchema)
-</code></pre>
-
-<h3 id="convert-a-schema-from-spark">Convert a schema from Spark<a
class="headerlink" href="#convert-a-schema-from-spark" title="Permanent
link">¶</a></h3>
-<p>To create an Iceberg schema from an existing table, use converters in
<code>SparkSchemaUtil</code>:</p>
-<pre><code class="scala">import org.apache.iceberg.spark.SparkSchemaUtil
-
-val schema = SparkSchemaUtil.convert(spark.table("db.table").schema)
-</code></pre>
-
-<h2 id="partitioning">Partitioning<a class="headerlink" href="#partitioning"
title="Permanent link">¶</a></h2>
-<h3 id="create-a-partition-spec">Create a partition spec<a class="headerlink"
href="#create-a-partition-spec" title="Permanent link">¶</a></h3>
-<p>Partition specs describe how Iceberg should group records into data files.
Partition specs are created for a table’s schema using a builder.</p>
-<p>This example creates a partition spec for the <code>logs</code> table that
partitions records by the hour of the log event’s timestamp and by log
level:</p>
-<pre><code class="scala">import org.apache.iceberg.PartitionSpec
-
-val spec = PartitionSpec.builderFor(schema)
- .hour("event_time")
- .identity("level")
- .build()
-</code></pre></div>
-
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diff --git a/api/index.html b/api/index.html
index d9177c3..9333d3a 100644
--- a/api/index.html
+++ b/api/index.html
@@ -164,12 +164,6 @@
<li >
- <a href="../api-quickstart/">Spark Quickstart</a>
-</li>
-
-
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diff --git a/community/index.html b/community/index.html
index 5d7cabe..d132185 100644
--- a/community/index.html
+++ b/community/index.html
@@ -164,12 +164,6 @@
<li >
- <a href="../api-quickstart/">Spark Quickstart</a>
-</li>
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diff --git a/configuration/index.html b/configuration/index.html
index 6850861..58aa1fb 100644
--- a/configuration/index.html
+++ b/configuration/index.html
@@ -164,12 +164,6 @@
<li >
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@@ -164,12 +164,6 @@
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@@ -164,12 +164,6 @@
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@@ -164,12 +164,6 @@
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@@ -164,12 +164,6 @@
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