![]() ![]() This key will be used to save original metadata invalid key. ![]() This key will be used to save the original metadata value.Īdds the string rename_key_ to the beginning of a new valid key. ![]() ![]() If AzCopy is unable to rename the key, then the object won't be copied.Īdds the string rename_ to the beginning of a new valid key. To learn exactly what steps AzCopy takes to rename object keys, see the How AzCopy renames object keys section below. AzCopy logs an error and includes that error in the failed count that appears in the transfer summary.ĪzCopy resolves the invalid metadata key, and copies the object to Azure using the resolved metadata key value pair. (Default option) The metadata isn't included in the transferred object. The following table describes each flag value. On the Azure side, blob object keys adhere to the naming rules for C# identifiers.Īs part of an AzCopy copy command, you can provide a value for optional the s2s-handle-invalid-metadata flag that specifies how you would like to handle files where the metadata of the file contains incompatible key names. You can read about the characters that AWS S3 uses here. Handle differences in object metadataĪWS S3 and Azure allow different sets of characters in the names of object keys. For example, if there are buckets with the name bucket-name and bucket.name, AzCopy resolves a bucket named bucket.name first to bucket-name and then to bucket-name-2. AzCopy replaces periods with hyphens and consecutive hyphens with a number that represents the number of consecutive hyphens (For example: a bucket named my-bucket becomes my-4-bucket.Īlso, as AzCopy copies over files, it checks for naming collisions and attempts to resolve them. AWS S3 bucket names can contain periods and consecutive hyphens, but a container in Azure can't. If you choose to copy a group of buckets to an Azure storage account, the copy operation might fail because of naming differences.ĪzCopy handles two of the most common issues that can arise buckets that contain periods and buckets that contain consecutive hyphens. Handle differences in object naming rulesĪWS S3 has a different set of naming conventions for bucket names as compared to Azure blob containers. Use the same URL syntax ( ) for accounts that have a hierarchical namespace.Įxample azcopy copy '' '' -recursive=true You can copy the contents of a directory without copying the containing directory itself by using the wildcard symbol (*).Įxample azcopy copy '*' '' -recursive=true This example appends the -recursive flag to copy files in all sub-directories. These copy operations don't use the network bandwidth of your computer. Gather your AWS access key and secret access key, and then set these environment variables: Operating systemĪzCopy uses the Put Block From URL API, so data is copied directly between AWS S3 and storage servers. If you'd rather use a SAS token to authorize access to blob data, then you can append that token to the resource URL in each AzCopy command. AzCopy then uses your Azure AD account to authorize access to data in Blob storage. %s """ % (opt.to_table, fn, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,opt.The examples in this article assume that you've authenticated your identity by using the AzCopy login command. sql="""ĬREDENTIALS 'aws_access_key_id=%s aws_secret_access_key=%s' Use psycopg2 COPY command to append data to Redshift table. K.set_contents_from_file(file_handle, cb=progress, num_cb=20, conn = nnect_s3(AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY) P2 = Popen(loadConf, stdin=p1.stdout, stdout=PIPE,stderr=PIPE)Ĭompress and load data to S3 using boto Python module and multipart upload. P1 = Popen(, stdout=PIPE,stderr=PIPE,env=env) """ % (in_qry, limit, out_file, opt.mysql_col_delim,opt.mysql_quote) In my MySQL_To_Redshift_Loader I do the following:Įxtract data from MySQL into temp file. You can use Python/boto/psycopg2 combo to script your CSV load to Amazon Redshift. If you can extract data from table to CSV file you have one more scripting option. It looks like you are trying to load local file into REDSHIFT table.ĬSV file has to be on S3 for COPY command to work. ![]()
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