After upgrading Elasticsearch 2.2.0 from 1.7.2, Other hosts can't connect to it.

After upgrading Elasticsearch 2.2.0 from 1.7.2, Other hosts can't connect to it.

In 1.7.2, it is binding to `0.0.0.0`, so you can access to it from any host:

The network.bind_host setting allows to control the host different network components will bind on. By default, the bind host will be anyLocalAddress (typically 0.0.0.0 or ::0).

But in 2.2.0, it is binding to `127.0.0.1`, so you can't access to it from other hosts:

Defaults to _local_.

To access from other hosts, you have to add the following to `config/elasticsearch.yml`:

network:
  host:
    - _en0_
    - _local_

`en0` will be your network interface.

References:
https://www.elastic.co/guide/en/elasticsearch/reference/1.7/modules-network.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-network.html
https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-network.html#network-interface-values

error: expected body of lambda expression

When building TensorFlow with Bazel, you might encounter the following error:

$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
...
tensorflow/core/kernels/fifo_queue.cc:59:43: error: expected body of lambda expression
          [tuple, this](Attempt* attempt) EXCLUSIVE_LOCKS_REQUIRED(mu_) {
                                          ^
./tensorflow/core/platform/default/thread_annotations.h:89:3: note: expanded from macro 'EXCLUSIVE_LOCKS_REQUIRED'
  THREAD_ANNOTATION_ATTRIBUTE__(exclusive_locks_required(__VA_ARGS__))
  ^
./tensorflow/core/platform/default/thread_annotations.h:42:42: note: expanded from macro 'THREAD_ANNOTATION_ATTRIBUTE__'
#define THREAD_ANNOTATION_ATTRIBUTE__(x) __attribute__((x))
                                         ^
...
6 warnings and 4 errors generated.
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
...
$

Check your gcc version as follows:

$ gcc --version
Configured with: --prefix=/Applications/Xcode.app/Contents/Developer/usr --with-gxx-include-dir=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.10.sdk/usr/include/c++/4.2.1
Apple LLVM version 6.0 (clang-600.0.56) (based on LLVM 3.5svn)
Target: x86_64-apple-darwin14.5.0
Thread model: posix
$

Upgrade your gcc version by upgrading Xcode to the latest version (in my case, 7.2.1):

$ gcc --version
Configured with: --prefix=/Applications/Xcode.app/Contents/Developer/usr --with-gxx-include-dir=/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.11.sdk/usr/include/c++/4.2.1
Apple LLVM version 7.0.2 (clang-700.1.81)
Target: x86_64-apple-darwin14.5.0
Thread model: posix
$

Reference:
https://github.com/tensorflow/tensorflow/issues/1192

ERROR: Cannot find './util/python/python_include'. Did you run configure?

When building TensorFlow with Bazel, you might encounter the following error:

$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
...
ERROR: /Users/izeye/IdeaProjects/tensorflow/util/python/BUILD:14:1: Executing genrule //util/python:python_check failed: bash failed: error executing command /bin/bash -c ... (remaining 1 argument(s) skipped): com.google.devtools.build.lib.shell.BadExitStatusException: Process exited with status 1.


ERROR: Cannot find './util/python/python_include'.  Did you run configure?


Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
...
$

Just configure as follows:

./configure

Reference:
https://github.com/tensorflow/tensorflow/issues/427

Extension file not found. Unable to load package for '//google/protobuf:protobuf.bzl'

When building TensorFlow with Bazel, you might encounter the following error:

$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
Sending SIGTERM to previous Bazel server (pid=6711)... done.
...........
ERROR: /Users/izeye/IdeaProjects/tensorflow/tensorflow/tools/pip_package/BUILD:23:1: error loading package 'tensorflow/core': Extension file not found. Unable to load package for '//google/protobuf:protobuf.bzl': BUILD file not found on package path and referenced by '//tensorflow/tools/pip_package:build_pip_package'.
ERROR: Loading failed; build aborted.
INFO: Elapsed time: 0.759s
$

If you didn't add the following option when you were cloning the TensorFlow GitHub project:

--recurse-submodules

Use the following command:

git submodule update --init

References:
https://github.com/tensorflow/tensorflow/issues/1069
https://www.tensorflow.org/versions/r0.7/get_started/os_setup.html

First argument of load() is a path, not a label. It should start with a single slash if it is an absolute path.

When using Bazel for building TensorFlow, you might encounter the following error:

$ bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
ERROR: /Users/izeye/IdeaProjects/tensorflow/tensorflow/tools/pip_package/BUILD:6:6: First argument of load() is a path, not a label. It should start with a single slash if it is an absolute path.
ERROR: /Users/izeye/IdeaProjects/tensorflow/tensorflow/tools/pip_package/BUILD:6:6: file '/tensorflow:tensorflow.bzl.bzl' was not correctly loaded. Make sure the 'load' statement appears in the global scope in your file.
ERROR: /Users/izeye/IdeaProjects/tensorflow/tensorflow/tools/pip_package/BUILD:8:1: name 'transitive_hdrs' is not defined.
ERROR: no such package 'tensorflow/tools/pip_package': Package 'tensorflow/tools/pip_package' contains errors.
INFO: Elapsed time: 0.060s.
$

Check your Bazel version as follows:

$ bazel version
Build label: 0.1.2-homebrew
Build target: bazel-out/local_darwin-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel-main_deploy.jar
Build time: Sat Dec 5 08:46:47 2015 (1449305207)
Build timestamp: 1449305207
Build timestamp as int: 1449305207
$

If the version is lower than 0.1.4 as the above, upgrade to at least 0.1.4.

You can find Bazel releases in: https://github.com/bazelbuild/bazel/releases

If you're using Mac, download an install script and run it with sudo.

Reference:
https://github.com/tensorflow/tensorflow/issues/843