partitioning

Partitioning Syntax error alter table

女生的网名这么多〃 提交于 2019-12-25 05:29:09
问题 I am trying to add partitions to my table. Used this syntax ALTER TABLE report_datanew6 PARTITION BY RANGE ( UNIX_TIMESTAMP(timestamp) ) ( PARTITION p0 VALUES LESS THAN ( UNIX_TIMESTAMP('2014-05-06') ), PARTITION p1 VALUES LESS THAN ( UNIX_TIMESTAMP('2014-05-07') ), PARTITION p2 VALUES LESS THAN ( UNIX_TIMESTAMP('2014-05-08') ), PARTITION p3 VALUES LESS THAN( MAXVALUE) ); It gives me a syntax error at line1. Error : [Err] 1486 - Constant, random or timezone-dependent expressions in (sub

Getting unexpected result with Range Partitioning in MySQL

别等时光非礼了梦想. 提交于 2019-12-25 03:35:19
问题 I'm trying to partitioning using Range for all days in 2014 PARTITION BY RANGE(UNIX_TIMESTAMP(gps_time)) ( PARTITION p01 VALUES LESS THAN (UNIX_TIMESTAMP('2014-01-01 00:00:00')), . . . PARTITION p365 VALUES LESS THAN (UNIX_TIMESTAMP('2015-01-01 00:00:00'))); If I insert few lesser rows It's partitioning as expected. sitting in particular partition and that's fine. But when I try to insert thousands of rows at a time, for instance values which supposed to sit on 2014-07-07 00:00:00 placing at

Handling backups of a large table (>1 TB) in Postgres?

瘦欲@ 提交于 2019-12-25 03:19:08
问题 I have a 1TB table (X) that is a pain to backup. The table X contains historical log data that is not often updated after creation. We usually only access a single row at a time, so performance is still very good. We currently make nightly full logical backups, and exclude X for the sake of backup time and space. We do not need historical backups of X, since the log files from which it is populated are backed up themselves. However, recovery of X by re-processing of the log files would take

Handling backups of a large table (>1 TB) in Postgres?

杀马特。学长 韩版系。学妹 提交于 2019-12-25 03:19:03
问题 I have a 1TB table (X) that is a pain to backup. The table X contains historical log data that is not often updated after creation. We usually only access a single row at a time, so performance is still very good. We currently make nightly full logical backups, and exclude X for the sake of backup time and space. We do not need historical backups of X, since the log files from which it is populated are backed up themselves. However, recovery of X by re-processing of the log files would take

ReduceByKey function In Spark

丶灬走出姿态 提交于 2019-12-24 13:59:11
问题 I've read somewhere that for operations that act on a single RDD, such as reduceByKey() , running on a pre-partitioned RDD will cause all the values for each key to be computed locally on a single machine, requiring only the final, locally reduced value to be sent from each worker node back to the master. Which means that I have to declare a partitioner like: val sc = new SparkContext(...) val userData = sc.sequenceFile[UserID, UserInfo]("hdfs://...") .partitionBy(new HashPartitioner(100)) //

convert normal column as partition column in hive

北慕城南 提交于 2019-12-24 10:34:09
问题 I have a table with 3 columns. now i need to modify one of the column as a partition column. Is there any possibility? If not, how can we add partition to existing table. I used the below syntax: create table t1 (eno int, ename string ) row format delimited fields terminated by '\t'; load data local '/....path/' into table t1; alter table t1 add partition (p1='india'); i am getting errors......... Any one know how to add partition to existing table ......? Thanks in advance. 回答1: I don't

SQL Server 2008: Disable index on one particular table partition

↘锁芯ラ 提交于 2019-12-24 01:05:33
问题 I am working with a big table (~100.000.000 rows) in SQL Server 2008. Frequently, I need to add and remove batches of ~30.000.000 rows to and from this table. Currently, before loading a large batch into the table, I disable indexes, I insert the data, then I rebuild the index. I have measured this to be the fastest approach. Since recently, I am considering implementing table partitioning on this table to increase speed. I will partition the table according to my batches. My question, will

SSAS Partition Slice Expression

穿精又带淫゛_ 提交于 2019-12-24 00:27:06
问题 I am partitioning my cube by the most recent 13 months, and then a legacy partition to hold older months. I have successfully created dynamic partitions, but now I need to add a dynamic slice to each partition. I thought I could use this in the Partition Slice Expression: [Dim Date].[Month].&[" + CStr(Month(Now())) + "].lag(8) but it's failing. Does anyone have any ideas? 回答1: I tried all day, but ultimately resolved that partition slice expressions dont like anything that is not a dimension

using INTERVAL (NUMTOYMINTERVAL (1,'MONTH') in SUBPARTITION

你离开我真会死。 提交于 2019-12-24 00:18:55
问题 I'm trying to add partitions to a table I created. I want it partitioned on "PARTITION GRP" and subpartitioned by month. But I don't know how to write the INTERVAL clause inside a subpartition. Can someone help me on this? thanks! PARTITION BY RANGE (PARTITION_GRP) SUBPARTITION BY RANGE (RPTG_MTH_DATE) INTERVAL(NUMTOYMINTERVAL(1,'MONTH')) ( PARTITION PG_0 VALUES LESS THAN (1) (SUBPARTITION PG_0_201401 VALUES LESS THAN (TO_DATE('1-FEB-2014', 'DD-MON-YYYY'))), PARTITION PG_1 VALUES LESS THAN (2

Optimize the join performance with Hive partition table

a 夏天 提交于 2019-12-23 23:23:42
问题 I have a Hive orc test_dev_db.TransactionUpdateTable table with some sample data, which will be holding increment data which needs to be updated to main table (test_dev_db.TransactionMainHistoryTable) which is partitioned on columns Country,Tran_date. Hive Incremental load table schema: It holds 19 rows which needs to be merge. CREATE TABLE IF NOT EXISTS test_dev_db.TransactionUpdateTable ( Transaction_date timestamp, Product string, Price int, Payment_Type string, Name string, City string,