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The following commit(s) were added to refs/heads/gh-pages by this push:
new 166def7 Update the Kudu FAQ
166def7 is described below
commit 166def7389ce97f85bb9801cfff7b42762e4b834
Author: Grant Henke <[email protected]>
AuthorDate: Tue Jul 2 12:13:38 2019 -0500
Update the Kudu FAQ
Change-Id: I7b0b57830a6ede9a12e3a889c918273788bc0de8
Reviewed-on: http://gerrit.cloudera.org:8080/13787
Reviewed-by: Alexey Serbin <[email protected]>
Reviewed-by: Andrew Wong <[email protected]>
Tested-by: Grant Henke <[email protected]>
---
faq.md | 40 ++++++++++++++++++++--------------------
1 file changed, 20 insertions(+), 20 deletions(-)
diff --git a/faq.md b/faq.md
index 9278e71..7443142 100644
--- a/faq.md
+++ b/faq.md
@@ -45,8 +45,7 @@ workloads.
#### Is Apache Kudu ready to be deployed into production yet?
-Yes! Although Kudu is still relatively new, as far as storage engines are
considered,
-it is ready for production workloads.
+Yes! Kudu has been battle tested in production at many major corporations.
#### Is Kudu open source?
@@ -82,12 +81,11 @@ store, and access data in Kudu tables with Apache Impala.
Aside from training, you can also get help with using Kudu through
[documentation](docs/index.html),
the [mailing lists](community.html),
-the [Kudu chat room](https://getkudu-slack.herokuapp.com/), and the
-[Cloudera beta release
forum](https://community.cloudera.com/t5/Beta-Releases-Kudu-RecordService/bd-p/Beta).
+and the [Kudu chat room](https://getkudu-slack.herokuapp.com/).
-#### Is there a quickstart VM?
+#### Is there a quickstart?
-Yes. Instructions on getting up and running on Kudu via a VM are provided in
Kudu's
+Yes. Instructions on getting up and running on Kudu via a Docker based
quickstart are provided in Kudu's
[quickstart guide](http://kudu.apache.org/docs/quickstart.html).
@@ -257,10 +255,8 @@ Kudu hasn't been publicly tested with Jepsen but it is
possible to run a set of
Kudu provides direct access via Java and C++ APIs. An experimental Python API
is
also available and is expected to be fully supported in the future. The easiest
way to load data into Kudu is to use a `CREATE TABLE ... AS SELECT * FROM ...`
-statement in Impala. Although Kudu has not been extensively tested to work with
-ingest tools such as Flume, Sqoop, or Kafka, several of these have been
-experimentally tested. Explicit support for these ingest tools is expected with
-Kudu's first generally available release.
+statement in Impala. Additionally, data is commonly ingested into Kudu using
+Spark, Nifi, and Flume.
#### What's the most efficient way to bulk load data into Kudu?
@@ -268,8 +264,8 @@ The easiest way to load data into Kudu is if the data is
already managed by Impa
In this case, a simple `INSERT INTO TABLE some_kudu_table SELECT * FROM
some_csv_table`
does the trick.
-You can also use Kudu's MapReduce OutputFormat to load data from HDFS, HBase,
or
-any other data store that has an InputFormat.
+You can also use Kudu's Spark integration to load data from or
+any other Spark compatible data store.
No tool is provided to load data directly into Kudu's on-disk data format. We
have found that for many workloads, the insert performance of Kudu is
comparable
@@ -284,7 +280,7 @@ BINARY column, but large values (10s of KB or more) are
likely to cause
performance or stability problems in current versions.
Fuller support for semi-structured types like JSON and protobuf will be added
in
-the future, contingent on demand from early adopters.
+the future, contingent on demand.
#### Is there a JDBC driver available?
@@ -324,9 +320,8 @@ direction, for the following reasons:
#### What frameworks are integrated with Kudu for data access?
-Kudu is already integrated with Impala, MapReduce, and Spark. Additional
-frameworks are expected for GA with Hive being the current highest priority
-addition.
+Kudu is integrated with Impala, Spark, Nifi, MapReduce, and more. Additional
+frameworks are expected, with Hive being the current highest priority addition.
#### Can I colocate Kudu with HDFS on the same servers?
@@ -411,13 +406,18 @@ features.
#### How can I back up my Kudu data?
-Kudu doesn't yet have a built-in backup mechanism. Similar to bulk loading
data,
-Impala can help if you have it available. You can use it to copy your data into
-Parquet format using a statement like:
+As of Kudu 1.10.0, Kudu supports both full and incremental table backups via a
+job implemented using Apache Spark. Additionally it supports restoring tables
+from full and incremental backups via a restore job implemented using Apache
Spark.
+See the [administration documentation](docs/administration.html) for details.
+
+For older versions which do not have a built-in backup mechanism, Impala can
+help if you have it available. You can use it to copy your data into Parquet
+format using a statement like:
INSERT INTO TABLE some_parquet_table SELECT * FROM kudu_table
-then use [distcp](http://hadoop.apache.org/docs/r1.2.1/distcp2.html)
+then use
[distcp](http://hadoop.apache.org/docs/current/hadoop-distcp/DistCp.html)
to copy the Parquet data to another cluster.
#### Can the WAL transaction logs be used to build a disaster recovery site?
