Name that you assign the cluster configuration. If you have a separate job tracker node, type in the hostname here. Otherwise use the HDFS hostname.
Enter comma-separated data in this field to define values for string columns. Get incoming fields button Retrieves a field list using the given HBase table and mapping names. Save mapping button Saves the mapping.
If there is any missing information in the mapping definition, you will be prompted to correct the mapping definition before the mapping is saved.
Delete mapping button Deletes the current named mapping in the current named table from the mapping table. Note that this does not delete the actual HBase table. A valid mapping must define meta data for the key of the source HBase table.
The key must have an Alias specified because there is no name given to the key of an HBase table. Non-key columns must specify the Column family that they belong to and the Column name. If not supplied, then the column name is used. All fields must have type information supplied.
For keys to sort properly in HBase, you must note the distinction between signed and unsigned numbers. Because of the way that HBase stores integer and long data internally, the sign bit must be flipped before storing the signed number so that positive numbers will sort after negative numbers.
Unsigned integer and unsigned long data can be stored directly without inverting the sign.
String columns may optionally have a set of legal values defined for them by entering comma-separated data into the Indexed values column in the fields table. Date keys can be stored as either signed or unsigned long data types, with epoch-based timestamps.
No distinction is made between signed and unsigned numbers for the Date type because HBase only sorts on the key. Serializable is any serialized Java object. Binary is a raw array of bytes.
The Alias and Column name of each mapping field will be set to the name of an incoming field. The type information will be filled in automatically, and the Column family will be set to either the name of the first column family defined if the table already exists, or, a default value "Family1"which can be altered by the user to define their own families when the target table is created.
The step does not support adding new column families to an existing table. The names of fields entering the step are expected to match the aliases of fields defined in the mapping.
All incoming fields must have a matching counterpart in the mapping. There may be fewer incoming fields than defined in the mapping but if there are more incoming fields then an error will be raised.
Furthermore, one of the incoming fields must match the key defined in the mapping. A larger buffer consumes more memory on both the client and serverbut results in fewer remote procedure calls. The default defined in the hbase-default. When left blank, the buffer is 2MB, auto flush is enabled, and Put operations are executed immediately.
This means that each row will be transmitted to HBase as soon as it arrives at the step. Entering a number even if it is the same as the default for the size of the write buffer will disable auto flush and will result in incoming rows only being transferred once the buffer is full.
The WAL is used as a lifeline to restore the status quo if the server goes down while data is being inserted. However, the tradeoff for error-recovery is speed. In the HBase table name field, you can suffix the name of the new table with parameters for specifying what kind of compression to use, and whether or not to use Bloom filters to speed up lookups.
The options for compression are: If nothing is selected or only the name of the new table is definedthen the default of NONE is used for both compression and Bloom filters. Due to licensing constraints, HBase does not ship with LZO compression libraries; these must be manually installed on each node if you want to use LZO compression.Configuring the Storage Policy for the Write-Ahead Log (WAL) In CDH and higher, you can configure the preferred HDFS storage policy for HBase's write-ahead log (WAL) replicas.
This feature allows you to tune HBase's use of SSDs to your available resources and the demands of your workload. With secondary indexing, the columns or expressions you index form an alternate row key to allow point lookups and range scans along this new axis.
For example, the following would For non transactional mutable tables, we maintain index update durability by adding the index updates to the Write-Ahead-Log (WAL) entry of the primary table.
Best practices to optimize Phoenix performance. Best practices to optimize Phoenix performance. For example, a table for contacts has the first name, last name, phone number, and address, all in the same column family.
consider disabling the write-ahead log when creating your tables: CREATE TABLE CONTACTS () DISABLE. HBase on Amazon S3 (Amazon S3 Storage Mode) when any metadata has changed—for example, when HBase region split or compactions occur, or when tables are added or and use write-ahead logs to store data writes in HDFS before the data is written to HBase StoreFiles in Amazon S3.
The read performance of your cluster . You can use shortcut keys to access menus and menu items: for example Alt+F for the File menu and Alt+E for the Edit menu; or Alt+H, then Alt+S for Help, then Search.
You can also display the File menu by pressing the F10 key (except in the SQL Worksheet, where F10 is the shortcut for Explain Plan).
Step-by-step process for setting up a Snowplow analytics pipeline with data pulled in from your Google Analytics trackers.