bulkinsert

问题 I'm reading data coming from a Kafka (100.000 line per second) using Structured Spark Streaming, and i'm trying to insert all the data in HBase. I'm in Cloudera Hadoop 2.6 and I'm using Spark 2.3 I tried something like I've seen here. eventhubs.writeStream .foreach(new MyHBaseWriter[Row]) .option("checkpointLocation", checkpointDir) .start() .awaitTermination() MyHBaseWriter looks like this : class AtomeHBaseWriter[RECORD] extends HBaseForeachWriter[Row] { override def toPut(record: Row): Put

问题 I'm trying to create a large SQLite database from around 500 smaller databases (each 50-200MB) to put into Django, and would like to speed up this process. I'm doing this via a custom command. This answer helped me a lot, in reducing the speed to around a minute each in processing a smaller database. However it's still quite a long time. The one thing I haven't done in that answer is to disable database indexing in Django and re-create them. I think this matters for me as my database has few

问题 I'm trying to import data into a table. I'm doing a bulk insert. I've created the table using a CREATE statement where all fields are nvarchar(max). I cannot understand why when the import is done, the data with leading zeros has been changed to scientific notation. Why does it not stay as text and preserve the leading zeros? 回答1: I suggest that you define the number of zeros that do you want and then make an update. Here is an example with 10 zeros. create table #leadingZeros(uglynumber

问题 I have to design the database for customers having prices for millions of materials they acquire through multiple suppliers for the next 24 months. So the database will store prices on a daily basis for every material supplied by a specific supplier for the next 24 months. Now I have multiple use cases to solve so I created multiple tables to solve each use case in the best possible way. Now the insertion of data into these tables will happen on a regular basis in a big chunk (let's say for

问题 I have to design the database for customers having prices for millions of materials they acquire through multiple suppliers for the next 24 months. So the database will store prices on a daily basis for every material supplied by a specific supplier for the next 24 months. Now I have multiple use cases to solve so I created multiple tables to solve each use case in the best possible way. Now the insertion of data into these tables will happen on a regular basis in a big chunk (let's say for

问题 I want to perform bulk operation via MongoDb. How to get array of Ids that will be returned after it? Can i perform single-operation insert faster without using bulk ? Can you advise me some other approach ? I'm using C# mongoDb driver 2.0 and MongoDb v. 3.0.2 update: I found the following solution - save maximum ObjectId of mongo collection, db.col.find().sort({_id:-1}).limit(1).pretty() and do the same after insert So we will get the range of inserted documents, does it make a sense? 回答1:

问题 I want to perform bulk operation via MongoDb. How to get array of Ids that will be returned after it? Can i perform single-operation insert faster without using bulk ? Can you advise me some other approach ? I'm using C# mongoDb driver 2.0 and MongoDb v. 3.0.2 update: I found the following solution - save maximum ObjectId of mongo collection, db.col.find().sort({_id:-1}).limit(1).pretty() and do the same after insert So we will get the range of inserted documents, does it make a sense? 回答1:

问题 I can not get a SQL Bulk Insert Statement to Run via C# on my Web Server or locally. I am trying to import data from a text file into a SQL Web Server. After I connect to the Web server / SQL Server the The statement I am using is as as follows.. BULK INSERT dbo.FNSR FROM 'http:\\yahoodd.velocitytrading.net\txtfiles\FNSR.txt' WITH ( FIRSTROW = '2', FIELDTERMINATOR = '\t', ROWTERMINATOR = '\n' ) then I get this error. Cannot bulk load because the file "\yahoodd.velocitytrading.net\txtfiles

问题 I'm using BCP to bulk upload data from a CSV file to SQL Azure (because BULK INSERT is not supported). This command runs and uploads the rows: bcp [resource].dbo.TableName in C:\data.csv -t "," -r "0x0a" -c -U bcpuser@resource -S tcp:resource.database.windows.net But data.csv is UTF8 encoded and contains non-ASCII strings. These get corrupted. I've tried changing the -c option to -w: bcp [resource].dbo.TableName in C:\data.csv -t "," -r "0x0a" -w -U bcpuser@resource -S tcp:resource.database

问题 As per the documentation, Loading large number of rows using COPY is always faster than using INSERT, even if PREPARE is used and multiple insertions are batched into a single transaction. Why COPY is faster than INSERT (multiple insertion are batched into single transaction) ? 回答1: Quite a number of reasons, actually, but the main ones are: Typically, client applications wait for confirmation of one INSERT 's success before sending the next. So there's a round-trip delay for each INSERT ,