From 79aa1d82ca56eb847cbf4ff81de0564b339988f6 Mon Sep 17 00:00:00 2001
From: Felix Cheung <felixcheung_m@hotmail.com>
Date: Wed, 22 Jun 2016 10:37:13 +0800
Subject: [PATCH] [SQL][DOC] SQL programming guide add deprecated methods in
2.0.0
## What changes were proposed in this pull request?
Doc changes
## How was this patch tested?
manual
liancheng
Author: Felix Cheung <felixcheung_m@hotmail.com>
Closes #13827 from felixcheung/sqldocdeprecate.
---
docs/sql-programming-guide.md | 6 +++++-
1 file changed, 5 insertions(+), 1 deletion(-)
diff --git a/docs/sql-programming-guide.md b/docs/sql-programming-guide.md
index ddf8f701ca..4b52c942e5 100644
--- a/docs/sql-programming-guide.md
+++ b/docs/sql-programming-guide.md
@@ -2143,7 +2143,7 @@ options.
## Upgrading From Spark SQL 1.6 to 2.0
- `SparkSession` is now the new entry point of Spark that replaces the old `SQLContext` and
- `HiveContext`. Note that the old SQLContext and HiveContext are kept for backward compatibility.
+ `HiveContext`. Note that the old SQLContext and HiveContext are kept for backward compatibility. A new `catalog` interface is accessible from `SparkSession` - existing API on databases and tables access such as `listTables`, `createExternalTable`, `dropTempView`, `cacheTable` are moved here.
- Dataset API and DataFrame API are unified. In Scala, `DataFrame` becomes a type alias for
`Dataset[Row]`, while Java API users must replace `DataFrame` with `Dataset<Row>`. Both the typed
@@ -2153,6 +2153,10 @@ options.
APIs. Instead, `DataFrame` remains the primary programing abstraction, which is analogous to the
single-node data frame notion in these languages.
+ - Dataset and DataFrame API `unionAll` has been deprecated and replaced by `union`
+ - Dataset and DataFrame API `explode` has been deprecated, alternatively, use `functions.explode()` with `select` or `flatMap`
+ - Dataset and DataFrame API `registerTempTable` has been deprecated and replaced by `createOrReplaceTempView`
+
## Upgrading From Spark SQL 1.5 to 1.6
- From Spark 1.6, by default the Thrift server runs in multi-session mode. Which means each JDBC/ODBC
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