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Posted to commits@drill.apache.org by br...@apache.org on 2017/04/05 00:12:20 UTC
[2/2] drill git commit: Doc fix for DRILL-4772 and fix broken links
in various pages
Doc fix for DRILL-4772 and fix broken links in various pages
Project: http://git-wip-us.apache.org/repos/asf/drill/repo
Commit: http://git-wip-us.apache.org/repos/asf/drill/commit/1e994acc
Tree: http://git-wip-us.apache.org/repos/asf/drill/tree/1e994acc
Diff: http://git-wip-us.apache.org/repos/asf/drill/diff/1e994acc
Branch: refs/heads/gh-pages
Commit: 1e994accf4f4a2447a434d6aa5fe3973fccc6204
Parents: 4a5dbd1
Author: Bridget Bevens <bb...@maprtech.com>
Authored: Tue Apr 4 17:09:54 2017 -0700
Committer: Bridget Bevens <bb...@maprtech.com>
Committed: Tue Apr 4 17:09:54 2017 -0700
----------------------------------------------------------------------
.../020-hive-to-drill-data-type-mapping.md | 7 +-
...using-apache-drill-with-tableau-9-desktop.md | 202 ++++++++++---------
.../060-querying-the-information-schema.md | 4 +-
_docs/rn/009-1.2.0-rn.md | 2 +-
_docs/rn/030-0.9.0-rn.md | 2 +-
.../data-types/010-supported-data-types.md | 6 +-
.../data-types/020-date-time-and-timestamp.md | 4 +-
.../sql-commands/050-create-view.md | 4 +-
.../sql-commands/089-with-clause.md | 4 +-
_docs/sql-reference/sql-commands/120-use.md | 6 +-
10 files changed, 124 insertions(+), 117 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/data-sources-and-file-formats/020-hive-to-drill-data-type-mapping.md
----------------------------------------------------------------------
diff --git a/_docs/data-sources-and-file-formats/020-hive-to-drill-data-type-mapping.md b/_docs/data-sources-and-file-formats/020-hive-to-drill-data-type-mapping.md
index 7d0e433..53993be 100644
--- a/_docs/data-sources-and-file-formats/020-hive-to-drill-data-type-mapping.md
+++ b/_docs/data-sources-and-file-formats/020-hive-to-drill-data-type-mapping.md
@@ -1,6 +1,6 @@
---
title: "Hive-to-Drill Data Type Mapping"
-date: 2016-08-04 00:23:08 UTC
+date: 2017-04-05 00:09:55 UTC
parent: "Data Sources and File Formats"
---
Using Drill you can read tables created in Hive that use data types compatible with Drill. Drill currently does not support writing Hive tables. The map of SQL types and Hive types shows that several Hive types need to be cast to the supported SQL type in a Drill query:
@@ -8,7 +8,10 @@ Using Drill you can read tables created in Hive that use data types compatible w
* TINYINT and SMALLINT
Cast these types to INTEGER.
* BINARY
- Cast the Hive BINARY type to VARCHAR.
+ Cast the Hive BINARY type to VARCHAR.
+
+{% include startnote.html %}In the 1.7 release, Drill automatically converts the Hive CHAR data type to VARCHAR. You no longer need to cast the Hive CHAR data type to VARCHAR when querying Hive tables.{% include endnote.html %}
+
## Map of SQL and Hive Types
<!-- See DRILL-1570 -->
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/odbc-jdbc-interfaces/using-drill-with-bi-tools/060-using-apache-drill-with-tableau-9-desktop.md
----------------------------------------------------------------------
diff --git a/_docs/odbc-jdbc-interfaces/using-drill-with-bi-tools/060-using-apache-drill-with-tableau-9-desktop.md b/_docs/odbc-jdbc-interfaces/using-drill-with-bi-tools/060-using-apache-drill-with-tableau-9-desktop.md
index 5751768..5a48917 100644
--- a/_docs/odbc-jdbc-interfaces/using-drill-with-bi-tools/060-using-apache-drill-with-tableau-9-desktop.md
+++ b/_docs/odbc-jdbc-interfaces/using-drill-with-bi-tools/060-using-apache-drill-with-tableau-9-desktop.md
@@ -1,99 +1,103 @@
----
-title: "Using Apache Drill with Tableau 9 Desktop"
-date:
-parent: "Using Drill with BI Tools"
----
-This document describes how to connect Tableau 9 Desktop to Apache Drill and explore multiple data formats instantly on Hadoop. Use the combined power of these tools to get direct access to semi-structured data, without having to rely on IT teams for schema creation.
-
-To use Apache Drill with Tableau 9 Desktop, complete the following steps:
-
-1. Install the Drill ODBC driver from MapR.
-2. Install the Tableau Data-connection Customization (TDC) file.
-3. Connect Tableau to Drill Using ODBC.
-4. Query and analyze various data formats with Tableau and Drill.
-
-----------
-
-### Step 1: Install and Configure the MapR Drill ODBC Driver
-
-Drill uses standard ODBC connectivity to provide easy data-exploration capabilities on complex, schema-less data sets. For the best experience use the latest release of Apache Drill. For Tableau 9.0 Desktop, Drill Version 0.9 or higher is recommended.
-
-Complete the following steps to install and configure the driver:
-
-1. Download the 64-bit MapR Drill ODBC Driver for Windows from the following location:<br> [http://package.mapr.com/tools/MapR-ODBC/MapR_Drill/](http://package.mapr.com/tools/MapR-ODBC/MapR_Drill/)
-**Note:** Tableau 9.0 Desktop 64 bit can use either the 32-bit driver or the 64-bit driver.
-2. [Install the ODBC driver on Windows]({{site.baseurl}}/docs/installing-the-driver-on-windows/).
-3. [Configure the driver]({{site.baseurl}}/docs/configuring-odbc-on-windows/).
-4. If Drill authentication is enabled, select **Basic Authentication** as the authentication type. Enter a valid user and password. 
-
-Note: If you select **ZooKeeper Quorum** as the ODBC connection type, the client system must be able to resolve the hostnames of the ZooKeeper nodes. The simplest way is to add the hostnames and IP addresses for the ZooKeeper nodes to the `%WINDIR%\system32\drivers\etc\hosts` file. 
-
-Also make sure to test the ODBC connection to Drill before using it with Tableau.
-
-
-----------
-
-### Step 2: Install the Tableau Data-connection Customization (TDC) File
-
-The MapR Drill ODBC Driver includes a file named `MapRDrillODBC.TDC`. The TDC file includes customizations that improve ODBC configuration and performance when using Tableau. The MapR Drill ODBC driver installer automatically installs the TDC file if the installer can find the Tableau installation. If you installed the MapR Drill ODBC driver first and then installed Tableau, the TDC file is not installed automatically. You must install the TDC file manually.
-
-**To install the MapRDrillODBC.TDC file manually:**
-
-1. Click **Start**, and locate the Install Tableau TDC File app that the MapR Drill ODBC Driver installer installed.
- For example, on Windows 8.1 in Apps, the Install Tableau TDC File appears under MaprDrill ODBC Driver:
- 
-
-2. Click **Install Tableau TDC File**.
-3. When the installation completes, press any key to continue.
-For example, you can press the SPACEBAR key.
-
-If the installation of the TDC file fails, this is likely due to your Tableau repository being in location other than the default one. In this case, manually copy the My Tableau Repository to C:\Users\<user>\Documents\My Tableau Repository. Repeat the procedure to install the MapRDrillODBC.TDC file manually.
-
-----------
-
-
-### Step 3: Connect Tableau to Drill via ODBC
-Complete the following steps to configure an ODBC data connection:
-
-To connect Tableau to Drill use the following steps:
-
-1. In a Tableau Workbook click **Data > New Data Source**.
-2. In the **Connect** list, select **Other Databases (ODBC)**. 
-3. On the Server Connection window, select the DSN configured in Step 1 from the drop-down list of ODBC data sources. Then click **Connect**. Note: You will be prompted to enter a username and password; these entries will be passed to the Server Connection window.
- 
-Tableau is now connected to Drill, and you can select various tables and views. 
-4. Click the **Schema** drop-down list and choose a schema by clicking the search icon: all available Drill schemas will be displayed. When you have selected the schema, click the search icon in the Table dialog box: all available tables or views will be displayed.
-
-You can select tables and views to build a Tableau Visualization. You can also use custom SQL by clicking the **New Custom SQL** option.
-
-Tableau can natively work with Hive tables and Drill views. For Drill data sources, including directly accessible file systems or HBase/MapR-DB tables, you can either use the Custom SQL option, or you can create a view in Drill to easily represent the complex data to Tableau. For more information, see the following links:
-http://drill.apache.org/docs/step-3-connect-to-drill-data-sources-from-a-bi-tool/
-http://drill.apache.org/docs/tableau-examples/
-
-Note: If Drill authentication and impersonation is enabled, only the views that the user has access to will be displayed in the Table dialog box. Also, if custom SQL is being used to try and access data sources that the user does not have access to, an error message will be displayed. 
-
-----------
-
-### Step 4: Query and Analyze the Data
-
-Tableau Desktop can now use Drill to query various data sources and visualize the information.
-
-Assume that a retailer has weblog data stored as JSON files in a nested directory structure and product information stored in a Hive table. Using Drill and Tableau, users would like to understand the volume of product sold by state and product category.
-
-1. Using the New Custom SQL function in Tableau, write a Drill query to read the JSON files without the need for ETL. Casting data types is recommended when you are working directly with files.
-For example: 
-
-2. Next select the Hive products table: 
-
-3. Verify that Tableau is joining the two data sources (JSON files and Hive table) on the prod_id key:
-The data sources are now configured and ready to be used in the visualization.
-4. Drag State from the Custom SQL (JSON files) to **Columns**, and drag Category from the Hive products table to **Rows**.
-5. Create a calculated field called `Total Number of Products` and enter `count(prod_id)` for the `prod_id` field from the weblog files (Custom SQL), then drag it to **Rows** next to Category. The visualization will now show the total products by category and state.
-6. To filter out weblog data where products were not bought, drag the `purch_flag` field from the weblog files to **Filters**. Select only data where the `purch_flag` was true.
-7. Finally, order the data from the state with the most products sold to the one with the least.
-8. Add a grand total row by clicking **Analysis > Totals > Show Column Grand Totals**. 
-
-----------
-
-In this quick tutorial, you saw how you can configure Tableau Desktop 9.0 to work with Apache Drill.
-
+---
+title: "Using Apache Drill with Tableau 9 Desktop"
+date: 2017-04-05 00:09:55 UTC
+parent: "Using Drill with BI Tools"
+---
+This document describes how to connect Tableau 9 Desktop to Apache Drill and explore multiple data formats instantly on Hadoop. Use the combined power of these tools to get direct access to semi-structured data, without having to rely on IT teams for schema creation.
+
+To use Apache Drill with Tableau 9 Desktop, complete the following steps:
+
+1. Install the Drill ODBC driver from MapR.
+2. Install the Tableau Data-connection Customization (TDC) file.
+3. Connect Tableau to Drill Using ODBC.
+4. Query and analyze various data formats with Tableau and Drill.
+
+----------
+
+### Step 1: Install and Configure the MapR Drill ODBC Driver
+
+Drill uses standard ODBC connectivity to provide easy data-exploration capabilities on complex, schema-less data sets. For the best experience use the latest release of Apache Drill. For Tableau 9.0 Desktop, Drill Version 0.9 or higher is recommended.
+
+Complete the following steps to install and configure the driver:
+
+1. Download the 64-bit MapR Drill ODBC Driver for Windows from the following location:<br> [http://package.mapr.com/tools/MapR-ODBC/MapR_Drill/](http://package.mapr.com/tools/MapR-ODBC/MapR_Drill/)
+**Note:** Tableau 9.0 Desktop 64 bit can use either the 32-bit driver or the 64-bit driver.
+2. [Install the ODBC driver on Windows]({{site.baseurl}}/docs/installing-the-driver-on-windows/).
+3. [Configure the driver]({{site.baseurl}}/docs/configuring-odbc-on-windows/).
+4. If Drill authentication is enabled, select **Basic Authentication** as the authentication type. Enter a valid user and password. 
+
+Note: If you select **ZooKeeper Quorum** as the ODBC connection type, the client system must be able to resolve the hostnames of the ZooKeeper nodes. The simplest way is to add the hostnames and IP addresses for the ZooKeeper nodes to the `%WINDIR%\system32\drivers\etc\hosts` file. 
+
+Also make sure to test the ODBC connection to Drill before using it with Tableau.
+
+
+----------
+
+### Step 2: Install the Tableau Data-connection Customization (TDC) File
+
+The MapR Drill ODBC Driver includes a file named `MapRDrillODBC.TDC`. The TDC file includes customizations that improve ODBC configuration and performance when using Tableau. The MapR Drill ODBC driver installer automatically installs the TDC file if the installer can find the Tableau installation. If you installed the MapR Drill ODBC driver first and then installed Tableau, the TDC file is not installed automatically. You must install the TDC file manually.
+
+**To install the MapRDrillODBC.TDC file manually:**
+
+1. Click **Start**, and locate the Install Tableau TDC File app that the MapR Drill ODBC Driver installer installed.
+ For example, on Windows 8.1 in Apps, the Install Tableau TDC File appears under MaprDrill ODBC Driver:
+ 
+
+2. Click **Install Tableau TDC File**.
+3. When the installation completes, press any key to continue.
+For example, you can press the SPACEBAR key.
+
+If the installation of the TDC file fails, this is likely due to your Tableau repository being in location other than the default one. In this case, manually copy the My Tableau Repository to C:\Users\<user>\Documents\My Tableau Repository. Repeat the procedure to install the MapRDrillODBC.TDC file manually.
+
+----------
+
+
+### Step 3: Connect Tableau to Drill via ODBC
+Complete the following steps to configure an ODBC data connection:
+
+To connect Tableau to Drill use the following steps:
+
+1. In a Tableau Workbook click **Data > New Data Source**.
+2. In the **Connect** list, select **Other Databases (ODBC)**. 
+3. On the Server Connection window, select the DSN configured in Step 1 from the drop-down list of ODBC data sources. Then click **Connect**. Note: You will be prompted to enter a username and password; these entries will be passed to the Server Connection window.
+ 
+Tableau is now connected to Drill, and you can select various tables and views. 
+4. Click the **Schema** drop-down list and choose a schema by clicking the search icon: all available Drill schemas will be displayed. When you have selected the schema, click the search icon in the Table dialog box: all available tables or views will be displayed.
+
+You can select tables and views to build a Tableau Visualization. You can also use custom SQL by clicking the **New Custom SQL** option.
+
+Tableau can natively work with Hive tables and Drill views. For Drill data sources, including directly accessible file systems or HBase/MapR-DB tables, you can either use the Custom SQL option, or you can create a view in Drill to easily represent the complex data to Tableau. For more information, refer to the following pages:
+
+
+- [https://drill.apache.org/docs/using-drill-with-bi-tools/](https://drill.apache.org/docs/using-drill-with-bi-tools/)
+- [http://drill.apache.org/docs/tableau-examples/](http://drill.apache.org/docs/tableau-examples/)
+
+
+
+Note: If Drill authentication and impersonation is enabled, only the views that the user has access to will be displayed in the Table dialog box. Also, if custom SQL is being used to try and access data sources that the user does not have access to, an error message will be displayed. 
+
+----------
+
+### Step 4: Query and Analyze the Data
+
+Tableau Desktop can now use Drill to query various data sources and visualize the information.
+
+Assume that a retailer has weblog data stored as JSON files in a nested directory structure and product information stored in a Hive table. Using Drill and Tableau, users would like to understand the volume of product sold by state and product category.
+
+1. Using the New Custom SQL function in Tableau, write a Drill query to read the JSON files without the need for ETL. Casting data types is recommended when you are working directly with files.
+For example: 
+
+2. Next select the Hive products table: 
+
+3. Verify that Tableau is joining the two data sources (JSON files and Hive table) on the prod_id key:
+The data sources are now configured and ready to be used in the visualization.
+4. Drag State from the Custom SQL (JSON files) to **Columns**, and drag Category from the Hive products table to **Rows**.
+5. Create a calculated field called `Total Number of Products` and enter `count(prod_id)` for the `prod_id` field from the weblog files (Custom SQL), then drag it to **Rows** next to Category. The visualization will now show the total products by category and state.
+6. To filter out weblog data where products were not bought, drag the `purch_flag` field from the weblog files to **Filters**. Select only data where the `purch_flag` was true.
+7. Finally, order the data from the state with the most products sold to the one with the least.
+8. Add a grand total row by clicking **Analysis > Totals > Show Column Grand Totals**. 
+
+----------
+
+In this quick tutorial, you saw how you can configure Tableau Desktop 9.0 to work with Apache Drill.
+
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/query-data/060-querying-the-information-schema.md
----------------------------------------------------------------------
diff --git a/_docs/query-data/060-querying-the-information-schema.md b/_docs/query-data/060-querying-the-information-schema.md
index 28214fe..d151bf8 100644
--- a/_docs/query-data/060-querying-the-information-schema.md
+++ b/_docs/query-data/060-querying-the-information-schema.md
@@ -1,6 +1,6 @@
---
title: "Querying the INFORMATION SCHEMA"
-date:
+date: 2017-04-05 00:09:56 UTC
parent: "Query Data"
---
When you are using Drill to connect to multiple data sources, you need a
@@ -108,4 +108,4 @@ of those columns:
| OrderTotal | Decimal |
+-------------+------------+
-In this release, Drill disables the DECIMAL data type, including casting to DECIMAL and reading DECIMAL types from Parquet and Hive. You can [enable the DECIMAL type](docs/supported-data-types/#enabling-the-decimal-type), but this is not recommended.
+In this release, Drill disables the DECIMAL data type, including casting to DECIMAL and reading DECIMAL types from Parquet and Hive. You can [enable the DECIMAL type]({{ site.baseurl }}/docs/supported-data-types/#enabling-the-decimal-type), but this is not recommended.
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/rn/009-1.2.0-rn.md
----------------------------------------------------------------------
diff --git a/_docs/rn/009-1.2.0-rn.md b/_docs/rn/009-1.2.0-rn.md
index d3cec4d..572db45 100644
--- a/_docs/rn/009-1.2.0-rn.md
+++ b/_docs/rn/009-1.2.0-rn.md
@@ -14,7 +14,7 @@ Today we're happy to announce the availability of Drill 1.2.0, providing more th
This release of Drill introduces a number of enhancements, including the following ones:
-* Support for JDBC data sources, such as MySQL, through a [new JDBC Storage plugin]({{site.baseurl}}/docs/jdbc-storage-plugin/)
+* Support for JDBC data sources, such as MySQL, through a [new JDBC Storage plugin]({{site.baseurl}}/docs/rdbms-storage-plugin/#example:-working-with-mysql)
* Improvements in the Drill JDBC driver including inclusion of
[Javadocs]({{site.baseurl}}/api/1.2/jdbc/) and better application dependency compatibility
* Enhancements to Avro file formats
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/rn/030-0.9.0-rn.md
----------------------------------------------------------------------
diff --git a/_docs/rn/030-0.9.0-rn.md b/_docs/rn/030-0.9.0-rn.md
index edae5c8..fcc5b8e 100755
--- a/_docs/rn/030-0.9.0-rn.md
+++ b/_docs/rn/030-0.9.0-rn.md
@@ -2,7 +2,7 @@
title: "Apache Drill 0.9.0 Release Notes"
parent: "Release Notes"
---
-It has been about a month since the release of Drill 0.8, which included [more than 240 improvements]({{ site.baseurl }}/blog/drill-0.8-released/). Today we're happy to announce the availability of Drill 0.9, providing additional enhancements and bug fixes. In fact, this release includes [200 resolved JIRAs](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12313820&version=12328813). Some of the noteworthy features in Drill 0.9 are:
+It has been about a month since the release of Drill 0.8, which included [more than 240 improvements]({{ site.baseurl }}/blog/2016/08/30/drill-1.8-released/). Today we're happy to announce the availability of Drill 0.9, providing additional enhancements and bug fixes. In fact, this release includes [200 resolved JIRAs](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12313820&version=12328813). Some of the noteworthy features in Drill 0.9 are:
* **Authentication** ([DRILL-2674](https://issues.apache.org/jira/browse/DRILL-2674)). Drill now supports username/password authentication through the Java and C++ clients, as well as JDBC and ODBC. On the server-side, Drill leverages Linux PAM to securely validate the credentials. Users can choose to use an external user directory such as Active Directory or LDAP. To enable authentication, set the `security.user.auth` option in `drill-override.conf`.
* **Impersonation** ([DRILL-2363](https://issues.apache.org/jira/browse/DRILL-2363)). Queries now execute and access resources using the identity of the user who submitted the query. Previously, all queries would run as the same user (eg, `drill`). With the new impersonation capability, the query will fail if the submitting user does not have permission to read the requested file(s) in the distributed file system. To enable impersonation, set the `drill.exec.impersonation` option in `drill-override.conf`.
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/sql-reference/data-types/010-supported-data-types.md
----------------------------------------------------------------------
diff --git a/_docs/sql-reference/data-types/010-supported-data-types.md b/_docs/sql-reference/data-types/010-supported-data-types.md
index 5f8a31f..28560c3 100644
--- a/_docs/sql-reference/data-types/010-supported-data-types.md
+++ b/_docs/sql-reference/data-types/010-supported-data-types.md
@@ -1,6 +1,6 @@
---
title: "Supported Data Types"
-date:
+date: 2017-04-05 00:09:57 UTC
parent: "Data Types"
---
Drill reads from and writes to data sources having a wide variety of types.
@@ -22,10 +22,10 @@ Drill reads from and writes to data sources having a wide variety of types.
| CHARACTER VARYING, CHARACTER, CHAR,**** or VARCHAR | UTF8-encoded variable-length string. The default limit is 1 character. The maximum character limit is 2,147,483,647. | CHAR(30) casts data to a 30-character string maximum. |
-\* In this release, Drill disables the DECIMAL data type (an alpha feature), including casting to DECIMAL and reading DECIMAL types from Parquet and Hive. The NUMERIC data type is an alias for the DECIMAL data type.
+\* In the 1.0 release, Drill disables the DECIMAL data type (an alpha feature), including casting to DECIMAL and reading DECIMAL types from Parquet and Hive. The NUMERIC data type is an alias for the DECIMAL data type.
\*\* Internally, INTERVAL is represented as INTERVALDAY or INTERVALYEAR.
\*\*\* SMALLINT is not currently supported.
-\*\*\*\* Currently, Drill supports only variable-length strings.
+\*\*\*\* The CHAR data type is internally represented as VARCHAR by Drill.
## Enabling the DECIMAL Type
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/sql-reference/data-types/020-date-time-and-timestamp.md
----------------------------------------------------------------------
diff --git a/_docs/sql-reference/data-types/020-date-time-and-timestamp.md b/_docs/sql-reference/data-types/020-date-time-and-timestamp.md
index ecc026c..9d9e715 100644
--- a/_docs/sql-reference/data-types/020-date-time-and-timestamp.md
+++ b/_docs/sql-reference/data-types/020-date-time-and-timestamp.md
@@ -1,6 +1,6 @@
---
title: "Date, Time, and Timestamp"
-date: 2017-04-04 00:05:30 UTC
+date: 2017-04-05 00:09:57 UTC
parent: "Data Types"
---
Using familiar date and time formats, listed in the [SQL data types table]({{ site.baseurl }}/docs/supported-data-types), you can construct query date and time data. You need to cast textual data to date and time data types. The format of date, time, and timestamp text in a textual data source needs to match the SQL query format for successful casting. Drill supports date, time, timestamp, and interval literals shown in the following example:
@@ -115,7 +115,7 @@ The following examples show the input and output format of INTERVAL YEAR (Year,
DATE, TIME, and TIMESTAMP literals. Drill stores values in Coordinated Universal Time (UTC). Drill supports time functions in the range 1971 to 2037.
-Drill does not support TIMESTAMP with time zone; however, if your data includes the time zone, use the [TO_TIMESTAMP function]({{ site.baseurl }}/docs/casting/converting-data-types/#to_timestamp) and [Joda format specifiers]({{site.baseurl}}/docs/data-type-conversion/#format-specifiers-for-date/time-conversions) as shown the examples in section, ["Time Zone Limitation"]({{site.baseurl}}/docs/data-type-conversion/#time-zone-limitation).
+Drill does not support TIMESTAMP with time zone; however, if your data includes the time zone, use the [TO_TIMESTAMP function]({{ site.baseurl }}/docs/data-type-conversion/#other-data-type-conversions) and [Joda format specifiers]({{site.baseurl}}/docs/data-type-conversion/#format-specifiers-for-date/time-conversions) as shown the examples in section, ["Time Zone Limitation"]({{site.baseurl}}/docs/data-type-conversion/#time-zone-limitation).
Next, use the following literals in a SELECT statement.
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/sql-reference/sql-commands/050-create-view.md
----------------------------------------------------------------------
diff --git a/_docs/sql-reference/sql-commands/050-create-view.md b/_docs/sql-reference/sql-commands/050-create-view.md
index e76a1d3..88d8cc4 100644
--- a/_docs/sql-reference/sql-commands/050-create-view.md
+++ b/_docs/sql-reference/sql-commands/050-create-view.md
@@ -1,6 +1,6 @@
---
title: "CREATE VIEW"
-date: 2016-05-05 21:44:33 UTC
+date: 2017-04-05 00:09:58 UTC
parent: "SQL Commands"
---
The CREATE VIEW command creates a virtual structure for the result set of a
@@ -28,7 +28,7 @@ generate the same set of columns with the same column names and data types.
_workspace_
The location where you want the view to exist. By default, the view is created
in the current workspace. See
-[Workspaces]({{ site.baseurl }}/docs/Workspaces).
+[Workspaces]({{ site.baseurl }}/docs/workspaces/).
_view_name_
The name that you give the view. The view must have a unique name. It cannot
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/sql-reference/sql-commands/089-with-clause.md
----------------------------------------------------------------------
diff --git a/_docs/sql-reference/sql-commands/089-with-clause.md b/_docs/sql-reference/sql-commands/089-with-clause.md
index 5e77cbf..0773433 100644
--- a/_docs/sql-reference/sql-commands/089-with-clause.md
+++ b/_docs/sql-reference/sql-commands/089-with-clause.md
@@ -1,6 +1,6 @@
---
title: "WITH Clause"
-date:
+date: 2017-04-05 00:09:58 UTC
parent: "SQL Commands"
---
The WITH clause is an optional clause used to contain one or more common table
@@ -32,7 +32,7 @@ less than the number of columns defined by the subquery.
*query*
Any SELECT query that Drill supports. See
-[SELECT]({{ site.baseurl }}/docs/SELECT+Statements).
+[SELECT]({{ site.baseurl }}/docs/select/).
## Usage Notes
http://git-wip-us.apache.org/repos/asf/drill/blob/1e994acc/_docs/sql-reference/sql-commands/120-use.md
----------------------------------------------------------------------
diff --git a/_docs/sql-reference/sql-commands/120-use.md b/_docs/sql-reference/sql-commands/120-use.md
index 395f716..db2c60d 100644
--- a/_docs/sql-reference/sql-commands/120-use.md
+++ b/_docs/sql-reference/sql-commands/120-use.md
@@ -1,12 +1,12 @@
---
title: "USE"
-date: 2017-03-14 22:11:03 UTC
+date: 2017-04-05 00:09:59 UTC
parent: "SQL Commands"
---
The USE command changes the schema context to the specified schema. When you
issue the USE command to switch to a particular schema, Drill queries that
schema only.
-**Note:** You must include the full path to a file or table whenever there is a temporary table in the session with the same name. See [CTTAS]({{site.baseurl}}/docs/create-temp-table-as).
+**Note:** You must include the full path to a file or table whenever there is a temporary table in the session with the same name. See [CTTAS]({{site.baseurl}}/docs/create-temporary-table-as-cttas/).
## Syntax
@@ -22,7 +22,7 @@ plugin, such as hive, or a storage plugin and workspace. For example, in dfs.don
The workspace points to a directory
within the file system. You can configure and use multiple storage plugins and
workspaces in Drill. See [Storage Plugin Registration]({{ site.baseurl }}/docs/storage-plugin-registration) and
-[Workspaces]({{ site.baseurl }}/docs/Workspaces).
+[Workspaces]({{ site.baseurl }}/docs/workspaces/).
## Usage Notes